SlideShare uma empresa Scribd logo
1 de 10
Baixar para ler offline
White Paper




Effectively Managing the Evolving Retail Ecosystem




                             Business solutions through information technology



                                                                      Prepared by:
                                                                     CGI Group Inc.
                                                                           &
                                                                    Quantum Retail
                                                                    Technology LLC




   Entire contents © 2004 by CGI Group Inc. All rights reserved. Reproduction of this publication in any form without prior written permission is forbidden.
Effectively Managing the Evolving Retail Ecosystem



                      TA B L E O F C O N T E N T S

                      INTRODUCTION                    2

                      INTELLIGENT VALUE CHAIN         3

                      THE EVOLVING ECOSYSTEM          4

                      DEPLOYING THE ECOSYSTEM         5

                      MANAGING THE ECOSYSTEM          7

                      SEEKING OUTSIDE HELP            8

                      WHAT A PARTNER SHOULD PROVIDE   9

                      ABOUT QUANTUM RETAIL            10

                      CONCLUSION                      10

                      ABOUT CGI




                                                          2
Effectively Managing the Evolving Retail Ecosystem



                      Introduction
                      Customer-facing processes are commanding the attention of retailers today. Retailers are
                      looking for ways to better understand their customers and deliver the right products to the
                      right channel at the right time and at the right price. Retailers are paying particular attention
                      to leveraging data and new technologies to optimize demand side processes, attract and
                      retain more customers, and drive future growth.

                      Access to more product information, along with a myriad of product choices, has shifted
                      power to the consumer, resulting in higher customer expectations. To create marketplace
                      advantages in the future, retailers will need to know their customers intimately, including
                      their needs, wants, preferences, and values, and re-design their business processes and
                      in-store technologies to ensure customer expectations are fully satisfied.

                      In order to achieve these results, retailers will need to adopt a new paradigm. This paradigm
                      views the retail industry as a living and evolving “ecosystem”. Similar to a living system, the
                      new retail ecosystem will operate on low levels of information, build relationships between
                      information, and look to use this information in ways that will improve the performance of
                      the organization. There is today an emerging convergence of technological innovation that
                      supports the move to this new paradigm:

                      • Evolutionary computing capabilities

                      • Edge computing capabilities

                      • Multi-agent distributed processing

                      • RFID and wireless technology adoption

                      Successful retailers will be those that adopt these emerging technologies and implement and
                      manage the retail ecosystem. Future industry innovation and value creation will appear
                      primarily at the “edges” where retailers interact with customers, manage their supply chains,
                      and weave in new technologies.

                      With the increasing complexity that new technologies will add to the stores in the future
                      along with the increased competitive pressures retailers are facing, retailers should look for a
                      partner to help manage this evolving retail ecosystem. Outsourcing one's IT infrastructure to
                      the right partner is a proven approach to better managing IT complexity and freeing up
                      resources to focus on customers' needs and wants.

                      Intelligent Value Chain
                      Technologies are evolving to help transform retail into a more customer-centric business and to
                      lower retailers' costs in delivering products and services. With these technologies, retailers will
                      be able to manage their inventories in real timeand leverage data more effectively to deliver the
                      right products at the right price. They will also be able to improve customer service and build
                      customer loyalty by enhancing the customer's shopping experience. These technologies
                      represent the evolution from an efficient value chain to an intelligent value chain.

                      The evolution of the intelligent value chain will ultimately mean smarter shopping services,
                      smarter selling services, and smarter store operations. Smarter shopping services will give
                      customers what they want, in the right way, in the right amount and in the right location
                      where it is easy and compelling to buy. Smarter selling services will change the current retail
                      environment by leveraging technology to create a better shopping experience. Smarter selling
                      will anticipate the customer's needs even before those needs are expressed. Cross channel
                      integration, for instance, will capture a customer's intent, thus creating powerful retail service
                      capabilities. Transaction patterns grounded in thousands of past purchases will reflect product
                      purchase correlations in real time and generate value from every customer interaction.
                      Smarter operations will free store personnel from the back office and bring them to the
                      storefront to serve customers.


                                                                                                                       3
Effectively Managing the Evolving Retail Ecosystem



                      Some of the advanced technologies behind this intelligent value chain are highlighted below.

                      RFID
                      Radio frequency identification (RFID) technology promises full inventory visibility at every
                      point along the supply chain-from manufacturing to store checkout. With RFID technology,
                      retailers can track products as they flow through the supply chain in real time, enabling them
                      to make better inventory decisions, save costs and improve customer service. For example, a
                      retailer facing unexpected high demand for a product at a specific store could re-direct
                      shipment of that product after it has left the manufacturer from the warehouse directly to
                      the store.

                      At the store level, the key to driving top-line revenue and bottom-line business results lies in
                      the detailed level of information that is made available through RFID tracking. The use of this
                      information at the store level means that retailers can synthesize meaningful assortment and
                      behavior data that can impact customer service in real time. RFID capability in the stores
                      results in near perfect inventory accuracy, enhanced promotional and pricing effectiveness,
                      shrink reduction, and high levels of inventory availability.

                      Wireless devices
                      Wireless technology promises to transform the customer shopping experience, providing
                      a powerful competitive tool as retailers strive to build stronger customer relationships.
                      Personal digital assistants or other hand-held devices for employees will give them real-time
                      access to product and customer information, enabling them to answer customer questions
                      on the spot. Eventually, hand-held mobile devices will be available for use by customers,
                      delivering detailed product and promotional information directly into their hands. Smart
                      carts will also interact with customers while they are shopping, suggesting products or
                      notifying them of promotions based on their current or past buying behavior.

                      Wireless POS systems will go a step further, combining real-time product information access
                      with on-the-spot checkout services. With voice technology for inter-store communication,
                      links to product and customer databases, built-in scanners and credit/smart card readers,
                      and mobile printers, these systems will not only enable employees to answer customer
                      questions but also complete sales transactions wherever the customer may be in the store.

                      Wireless manager workstations and wireless network infrastructures to support RFID applications
                      will also significantly improve efficiencies from an operational standpoint and, ultimately,
                      improve customer service.

                      Self-service
                      Enabling customers to serve themselves is a fast growing retail trend. Self-service technologies,
                      such as mobile hand-held devices, kiosks and self-checkout, will give customers more control
                      over the shopping experience and alleviate frustrations caused by stock-outs, staff shortages
                      and long checkout lines.

                      Using mobile hand-held devices, customers will be able to access real-time product and
                      promotional information quickly and conveniently. In-store kiosks will also be used to provide
                      information to customers, as well as offer alternative payment options. Self-checkout will
                      save customers' time while reducing retailers' labor costs.

                      Fully automated self-checkout is a possibility with RFID technology. Customers could fill their
                      carts with tagged products, run the carts pass a sensor and wait for their bills to be automatically
                      generated. Payment could be made using RFID customer cards. This process would allow
                      customers to leave the store without removing any items from their carts or opening their
                      wallets.




                                                                                                                        4
Effectively Managing the Evolving Retail Ecosystem



                      The Evolving Ecosystem
                      Over the years, retailers have realized tremendous value in creating an “enterprise infrastructure”.
                      Seamlessly integrating new technologies and services into the enterprise infrastructure represents
                      a growing challenge, however. This challenge has become increasing difficult because of the
                      inherent weaknesses of current enterprise architectures. Large, centralized enterprise information
                      systems generate massive amounts of data. So much data, that it cannot be used effectively by
                      the business for accurate and timely store action. So much data, that in order to use it at all,
                      retailers have created rigid structures that are, in turn, forcing them into rigid operating models.
                      Retailers are constrained in bringing new products to market, introducing new store formats, and
                      reaching out to the customer in new and creative ways.

                      Current enterprise architectures are inherently brittle and un-usable at the edges of the business,
                      particularly at the store level. Today's architecture exacerbates the data proliferation issue for
                      virtually every retailer. Data available for use in retail operations and decision-making is
                      increasing exponentially. Retailers today are barely scratching the surface of the benefits made
                      possible by new investments, standards and technologies. Trying to fit new capabilities into
                      an already stressed infrastructure will literally “break the back” of the existing retail systems
                      environment-software, hardware, infrastructure, and business user.

                      We believe, as do most retailers and CPG manufacturers, that the value of actionable insight
                      based on real-time item information at the store level will drive the next great wave of value
                      creation for retailers, CPG manufacturers, and, ultimately, consumers. As new technologies
                      emerge to service the retail environment, these technologies must take into consideration
                      that actionable insight will not be gained by the aggregation of low-level data. In fact, insight
                      is all about the emergence of new ways of thinking that come from managing data, combining
                      and recombining itself into something new. Then, in order to be of the most value, insights
                      need to be accessible and actionable at a local level for real-time execution.

                      Deploying the Ecosystem
                      The evolving retail ecosystem will take advantage of multi-agent distributed processing
                      architectures. These architectures will be designed to leverage existing infrastructure for
                      real-time parallel data processing.

                      Retailers will have a practical and affordable way to handle the complex activities that occur
                      at the store level and are necessary for serving customers. It is only through the convergence
                      of science, technology and business that this kind of model quickly moves from fiction to
                      fact. So when customers demand better service, the business demands better sales and
                      productivity, and the competition is stepping up their technology investment, retailers have a
                      clear way to respond to the challenges. The new retail eco-system based on evolutionary
                      computing and multi-agent systems is leading the retail systems revolution, which will
                      deliver the results required now and in the future.

                      Eco-Solutions versus Traditional Solutions: Comparison of Key Characteristics
                                 Eco-Solutions                   Traditional ERP or Point Solutions              Implications - Benefits
                        Distributed processing at point-of-           Centralized data processing           Real-time management and execution
                                   need (Edge)
                               Real-time processing                  Lags and delays in processing           Responsive to environment adaptation
                                                                   Use consolidated and aggregated
                          Use lowest level available data                                                   No smoothing or averaging decisions
                                                                              information
                      Products exhibit adapt to environment       Behavior dictated through planning        Emergent patterns tell us new things
                      Models learn and evolve from experience       Models driven by historical data       Limited data history or retention required
                      Agents monitor items and relationships Limited ability to monitor low level activity Emergent behavior can improve profits
                        Evolutionary (non-linear dynamic)     Linear Models - No real-time feedback           Evolution of models to align with
                                     Models                                  component                                      reality
                       Distributed Processing Architecture    ERP or High Integration Infrastructure High utilization of existing hardware
                                Network Structure                       Hierarchical Structure               Responsive versus brittle processes
                       Complexity addressed through simple           Complexity addressed through
                                     models                                complex models                     Better solutions through simplicity



                                                                                                                                                    5
Effectively Managing the Evolving Retail Ecosystem



                      Multi-Agent Distributed Processing
                      The design of retail eco-solutions must consider real-world constraints such as store network
                      bandwidth, in-store processor capacity, and limited data storage capabilities. The retail eco-
                      solution is a network of agents, or a “multi-agent distributed system”. Major characteristics
                      of multi-agent systems include:

                      • Agent capabilities are simplified and restricted to reduce the set of information they
                        require. This reduces the need to store large volumes of data, and small amounts of data
                        are communicated at regular intervals to avoid network congestion.

                      • System control is distributed, which prevents costly maintenance at the store level and
                        high overhead at corporate locations. This also provides a redundant fault tolerant
                        operating environment

                      • Data is decentralized and limited to only item profiles, not historical transactions

                      • Computation is asynchronous, which allows the system to operate without interfering with
                        other in-store applications

                      Simplified Agent Architecture


                                 Co-operation Component                               Cooperation Knowledge




                                   Planning Component                                          Plans



                                Behavior Based Component                                 Behavior Patterns




                           Acting | Communicating | Sensing                           Environment Knowledge



                                                       Agent Environment

                      Agents, as a key component of this architecture, are autonomous, computational entities that
                      can be viewed as perceiving their environment through sensors and acting upon their
                      environment through effectors. Each agent performs a specialized function. The resulting
                      action is based on what the agent learns about the environment through its own perceptions,
                      information gathered from other agents, past behaviors, and planned goals. Unlike current
                      deterministic applications, agents learn from their environment and may alter or abandon
                      their goals entirely if they are not in the best interests of the agent society.

                      Agents sense events that occur in the environment and react based on their existing
                      behaviors. If the event is not recognized, or acting on it would deviate from existing
                      behaviors, the agent evaluates other actions based on overall plans and ultimately looks for
                      advice from neighboring agents.

                      An individual agent's reasoning and functionality are limited, but within a society of agents
                      the final solution is robust and evolutionary.




                                                                                                                      6
Effectively Managing the Evolving Retail Ecosystem



                      Agents of Change
                      To work in retail distributed environments, agents are deployed within an agent “container”
                      that executes on existing in-store processors or other distributed processors. Conceptually,
                      the container supports multiple agent types, each responsible for a specific function. The
                      agent container diagram depicts layers of agents with different types of responsibilities.
                      Communication between agents is not hierarchical however, and agents in a society work
                      together, beyond layer boundaries, to provide optimal solutions and react to changes in the
                      environment.

                      Agents are deployed in stores and communicate with agents at other stores building up a
                      virtual agent network. This agent network is deployed on existing store systems and does
                      not require significant hardware or network upgrades.

                      The agent network is a self-managed environment. Agent controllers ensure that any updates
                      to agent processing and function are maintained and that the right number and types of
                      agents are deployed.

                      Agents are activated when an event occurs. The agent then collects all relevant behaviors
                      and environment information in order to recommend a course of action based on the desired
                      behavior. Agents are deployed dynamically based on monitored events and do not waste
                      processing capacity when there are no events.

                      Communication agents
                      These lowest level agents directly monitor transactional data. They look through the
                      transactions and identify information that would be useful for the items for which they are
                      responsible.

                      Behavior agents
                      These agents house most of the business logic and dictate and reflect the behavior of the
                      items for which they are responsible. This means that an agent must exist for every item
                      being considered. The agents communicate with each other in a network fashion, the
                      topology of which is initially based on the physical supply-chain of the retailer. The output
                      from an agent, in turn, becomes the input for one or many agents elsewhere in the network.

                      Analytic agents
                      Analytic level agents use the genetic profiles and the traditional attributes to infer dynamic
                      relationships, clusters and ad-hoc reporting on item behavior. They do this by either
                      leveraging genetic profiles to determine appropriate groupings of traditional variables or
                      using traditional variables as a measure of 'like' for the purpose of seeding the intelligence
                      model or user driven ad-hoc analysis.

                      Strategy agents
                      Strategy level agents are in place to manage and throttle the extent to which change can be
                      introduced into the eco-system without user approval. These agents also layer in any
                      business or legal constraints to ensure that the emergent behavior

                      Managing the Ecosystem
                      One of the most important considerations in adopting new retail technologies is the
                      integration of new systems into existing technology structures and the ongoing management
                      of new distributed processes. The agent container provides a common infrastructure for the
                      integration of the multi-agent architecture with existing systems. The container also provides
                      common services to manage the introduction of different agent types and agent upgrades
                      without any maintenance overhead.




                                                                                                                       7
Effectively Managing the Evolving Retail Ecosystem



                      In the basic store deployment, agents receive all event data from the POS systems and in-
                      store inventory control systems. Agent containers have an external integration component
                      that communicates asynchronously with store systems. Only basic inventory transactions are
                      of interest to the agent containers. In advanced inventory processes, item information may
                      be received from additional data stores and activities outside of POS and inventory.

                      In an RFID deployment, agent events are increased dramatically as reader level events are
                      broadcast to agents deployed on the Savant. RFID events include product aging, expected
                      lead-times, product space and specific location. The advantage of a learning system is that
                      this low level data does not need to be stored for aggregation and data mining. The agents
                      simply review these events and modify their behavior accordingly.

                      With the introduction of product level RFID the agent network truly extends to the edge of the
                      retail environment, right to the product/shelf level. This is the level where customer and
                      product interaction happen and these are the events that shape the system's behavior.

                      Seeking Outside Help
                      The successful introduction of emerging retail technologies and services at the store level
                      coupled with the future need to manage a multi-agent distributed environment dictates that
                      retailers should look outside their own IT teams for assistance. In the past, retailers have
                      been reluctant to seek the help of outside experts to address their IT challenges, but in the
                      last five years, there has been a growing trend toward IT outsourcing in the retail industry.
                      Today, 40 percent of retailers outsource some element of their IT infrastructure or business
                      processes.

                      In deciding whether to outsource their in-store information technology, retailers should look
                      to achieve a number of strategic, operational and financial benefits, including:

                      • Access to new technology and industry best practices

                      • Freed up management to focus more on core business

                      • Freed up IT resources to focus on strategic projects

                      • Reduced risk by partnering with a large, world-class IT organization

                      • Improved service levels

                      • A single point of responsibility for all store information technology rather than multiple
                        vendors

                      • Improved responsiveness to unforeseen IT issues and disruptions

                      • Improved responsiveness to marketplace changes

                      • Enhanced support of business units with proven processes and procedures resulting in
                        increased productivity

                      • Optimized operating and investment budgets

                      • Reduced technology-related investment risks

                      • Stabilized budgets

                      • Access to improved purchasing power and established partnership agreements

                      • Flexible payment structures that match the retailer's financial needs

                      • Reduced costs




                                                                                                                     8
Effectively Managing the Evolving Retail Ecosystem



                                          Retailers are best served by thinking of outsourcing as a long and enduring relationship, one
About Quantum RetailI                     that clearly defines and respects well understood roles and responsibilities. Retailers should
                                          select a partner who focuses on quality, who has a solid reputation for providing quality
Quantum Retail is a leading provider of   solutions and who maintains flexibility in dealing with their customers. The following model
intelligent store and item-level RFID     depicts an optimum parsing of roles and responsibilities in a successful outsourcing
business solutions.                       relationship.

Our software is designed for retail
environments using the same principles
that allow nature to deal effectively
and efficiently with complexity. These           Client                                                         Partner
applications, which enable companies
to adapt, evolve, and thrive in a                                             Systems Needs
                                                                                Systems Needs
dynamic and complex environment, are
called “Eco-solutions.” Eco-solutions
are made possible by the convergence               Defines
of new technologies including edge
                                                                                 Benefits
                                                                                  Benefits                           Supports
                                               Authorizes                      Recuperation
computing, evolutionary computing,                                              Recuperation                         Counsels
multi-agent distributed processing and         Supervises
RFID.

Our mission is delivering intelligent
                                                                                Architecture
                                                                                 Architecture
“edge” applications to the retail and
manufacturing industry to bring about
the next great wave of business value
for retailers.
                                                                               Integration or
                                                                                Integration or
                                                                               Development
                                                                                 Development
For more information, please visit our
Website at www.quantumretail.com or
contact us at info@quantumretail.com              Controls                                                           Executes
                                                                             Implementation
                                                                              Implementation



                                                                                Operation-
                                                                                 Operation-
                                                                               Management
                                                                                Management



                                          What a Partner Should Provide
                                          Because a retailer's store systems IT infrastructure represents a complex microcosm of
                                          technology, processes, and support elements, a store systems outsourcing relationship may
                                          encompass a broad set of interrelated components.

                                          For purposes of simplification, a retailer's outsourcing partner should:

                                          • Standardize existing stores on a common technology platform.

                                          • Manage the new store rollout process.

                                          • Purchase and manage all store technology hardware and software.

                                          • Assume responsibility for the standard store software configuration (i.e., manage the
                                            creation of the gold disk).

                                          • Stage, install and test all store technology assets at the store.

                                          • Provide a single point-of-contact help desk.


                                                                                                                                      9
Effectively Managing the Evolving Retail Ecosystem



                                            • Perform all software development and maintenance needs.
About CGI                                   • Perform all the stores technology hardware and cabling field service maintenance via
                                              various service levels.
Founded 1976, CGI has worked with
clients in a wide range of industries to    • Develop an annual store technology plan based on the retailer's business needs, industry
help them leverage the strengths of           technology developments, and their partner's industry expertise.
information technology (IT) to optimize
                                            • Implement standard processes and procedures.
their business performance and
produce value-driven results. We also       • Manage service levels and implement reporting to track the effectiveness of the store
offer a comprehensive array of                technology delivery processes and to identify opportunities for continuous improvement.
business process outsourcing (BPO)
                                            • Provide technology and retail expertise and facilitate the Store Technology Steering
services, enabling us to help manage
                                              Committee. The committee is comprised of the retailer's CIO and business
and improve our clients' day-to-day
                                              representatives.
business processes while freeing them
up to focus more on strategic decision      • Manage all of the store technology vendors.
making. Our consulting, systems
integration and outsourcing services        Conclusion
provide a total solution package            Forward-thinking retailers are exploring new technologies to position themselves at the
designed to meet our clients' complete      forefront of an increasingly competitive and rapidly changing marketplace in an effort to meet
business and technology needs. We           their customers' expectations and to continue to lower costs. Emerging technologies such as
approach every engagement with one          edge computing, RFID, wireless devices, self-service, and other types of in-store technology
objective in mind-to help our client win    promise to transform how retailers compete.
and grow. CGI provides services to
clients worldwide from offices in           A new retail ecosystem is emerging, one that will operate on low levels of information, build
Canada, the United States, Europe, as       relationships between information, and look to use this information in ways that will improve
well as centers of excellence in India      the performance of the organization. There is today an emerging convergence of
and Canada.                                 technological innovation that supports the move to this new paradigm:

                                            • Evolutionary computing capabilities
To explore this topic and how we can
help, contact your CGI account              • Edge computing capabilities
manager or visit
                                            • Multi-agent distributed processing
http://www.cgi.com/web/en/head_office.htm
for the location of the CGI office          • RFID and wireless technology adoption
nearest you. Other information about
                                            Successful retailers will be those that adopt these emerging technologies and implement and
CGI can be found at www.cgi.com
                                            manage this retail ecosystem. Future industry innovation and value creation will appear
                                            primarily at the “edges” where retailers interact with customers, manage their supply chains,
                                            and weave in new technologies.

                                            To effectively leverage new technology and manage the ever-increasing complexity of the
                                            store technology environment, retailers should seriously consider turning to store systems
                                            outsourcing. With the retail and technology expertise of a strategic outsourcing partner,
                                            retailers will be able to focus on their customer and will be well prepared for the “store of the
                                            future”.




                                                                                                                                          10

Mais conteúdo relacionado

Último

What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????blackmambaettijean
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 

Último (20)

What is Artificial Intelligence?????????
What is Artificial Intelligence?????????What is Artificial Intelligence?????????
What is Artificial Intelligence?????????
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 

Destaque

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by HubspotMarius Sescu
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTExpeed Software
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsKurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summarySpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best PracticesVit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project managementMindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...RachelPearson36
 

Destaque (20)

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 

Effectively managing the evolving retail eco-system

  • 1. White Paper Effectively Managing the Evolving Retail Ecosystem Business solutions through information technology Prepared by: CGI Group Inc. & Quantum Retail Technology LLC Entire contents © 2004 by CGI Group Inc. All rights reserved. Reproduction of this publication in any form without prior written permission is forbidden.
  • 2. Effectively Managing the Evolving Retail Ecosystem TA B L E O F C O N T E N T S INTRODUCTION 2 INTELLIGENT VALUE CHAIN 3 THE EVOLVING ECOSYSTEM 4 DEPLOYING THE ECOSYSTEM 5 MANAGING THE ECOSYSTEM 7 SEEKING OUTSIDE HELP 8 WHAT A PARTNER SHOULD PROVIDE 9 ABOUT QUANTUM RETAIL 10 CONCLUSION 10 ABOUT CGI 2
  • 3. Effectively Managing the Evolving Retail Ecosystem Introduction Customer-facing processes are commanding the attention of retailers today. Retailers are looking for ways to better understand their customers and deliver the right products to the right channel at the right time and at the right price. Retailers are paying particular attention to leveraging data and new technologies to optimize demand side processes, attract and retain more customers, and drive future growth. Access to more product information, along with a myriad of product choices, has shifted power to the consumer, resulting in higher customer expectations. To create marketplace advantages in the future, retailers will need to know their customers intimately, including their needs, wants, preferences, and values, and re-design their business processes and in-store technologies to ensure customer expectations are fully satisfied. In order to achieve these results, retailers will need to adopt a new paradigm. This paradigm views the retail industry as a living and evolving “ecosystem”. Similar to a living system, the new retail ecosystem will operate on low levels of information, build relationships between information, and look to use this information in ways that will improve the performance of the organization. There is today an emerging convergence of technological innovation that supports the move to this new paradigm: • Evolutionary computing capabilities • Edge computing capabilities • Multi-agent distributed processing • RFID and wireless technology adoption Successful retailers will be those that adopt these emerging technologies and implement and manage the retail ecosystem. Future industry innovation and value creation will appear primarily at the “edges” where retailers interact with customers, manage their supply chains, and weave in new technologies. With the increasing complexity that new technologies will add to the stores in the future along with the increased competitive pressures retailers are facing, retailers should look for a partner to help manage this evolving retail ecosystem. Outsourcing one's IT infrastructure to the right partner is a proven approach to better managing IT complexity and freeing up resources to focus on customers' needs and wants. Intelligent Value Chain Technologies are evolving to help transform retail into a more customer-centric business and to lower retailers' costs in delivering products and services. With these technologies, retailers will be able to manage their inventories in real timeand leverage data more effectively to deliver the right products at the right price. They will also be able to improve customer service and build customer loyalty by enhancing the customer's shopping experience. These technologies represent the evolution from an efficient value chain to an intelligent value chain. The evolution of the intelligent value chain will ultimately mean smarter shopping services, smarter selling services, and smarter store operations. Smarter shopping services will give customers what they want, in the right way, in the right amount and in the right location where it is easy and compelling to buy. Smarter selling services will change the current retail environment by leveraging technology to create a better shopping experience. Smarter selling will anticipate the customer's needs even before those needs are expressed. Cross channel integration, for instance, will capture a customer's intent, thus creating powerful retail service capabilities. Transaction patterns grounded in thousands of past purchases will reflect product purchase correlations in real time and generate value from every customer interaction. Smarter operations will free store personnel from the back office and bring them to the storefront to serve customers. 3
  • 4. Effectively Managing the Evolving Retail Ecosystem Some of the advanced technologies behind this intelligent value chain are highlighted below. RFID Radio frequency identification (RFID) technology promises full inventory visibility at every point along the supply chain-from manufacturing to store checkout. With RFID technology, retailers can track products as they flow through the supply chain in real time, enabling them to make better inventory decisions, save costs and improve customer service. For example, a retailer facing unexpected high demand for a product at a specific store could re-direct shipment of that product after it has left the manufacturer from the warehouse directly to the store. At the store level, the key to driving top-line revenue and bottom-line business results lies in the detailed level of information that is made available through RFID tracking. The use of this information at the store level means that retailers can synthesize meaningful assortment and behavior data that can impact customer service in real time. RFID capability in the stores results in near perfect inventory accuracy, enhanced promotional and pricing effectiveness, shrink reduction, and high levels of inventory availability. Wireless devices Wireless technology promises to transform the customer shopping experience, providing a powerful competitive tool as retailers strive to build stronger customer relationships. Personal digital assistants or other hand-held devices for employees will give them real-time access to product and customer information, enabling them to answer customer questions on the spot. Eventually, hand-held mobile devices will be available for use by customers, delivering detailed product and promotional information directly into their hands. Smart carts will also interact with customers while they are shopping, suggesting products or notifying them of promotions based on their current or past buying behavior. Wireless POS systems will go a step further, combining real-time product information access with on-the-spot checkout services. With voice technology for inter-store communication, links to product and customer databases, built-in scanners and credit/smart card readers, and mobile printers, these systems will not only enable employees to answer customer questions but also complete sales transactions wherever the customer may be in the store. Wireless manager workstations and wireless network infrastructures to support RFID applications will also significantly improve efficiencies from an operational standpoint and, ultimately, improve customer service. Self-service Enabling customers to serve themselves is a fast growing retail trend. Self-service technologies, such as mobile hand-held devices, kiosks and self-checkout, will give customers more control over the shopping experience and alleviate frustrations caused by stock-outs, staff shortages and long checkout lines. Using mobile hand-held devices, customers will be able to access real-time product and promotional information quickly and conveniently. In-store kiosks will also be used to provide information to customers, as well as offer alternative payment options. Self-checkout will save customers' time while reducing retailers' labor costs. Fully automated self-checkout is a possibility with RFID technology. Customers could fill their carts with tagged products, run the carts pass a sensor and wait for their bills to be automatically generated. Payment could be made using RFID customer cards. This process would allow customers to leave the store without removing any items from their carts or opening their wallets. 4
  • 5. Effectively Managing the Evolving Retail Ecosystem The Evolving Ecosystem Over the years, retailers have realized tremendous value in creating an “enterprise infrastructure”. Seamlessly integrating new technologies and services into the enterprise infrastructure represents a growing challenge, however. This challenge has become increasing difficult because of the inherent weaknesses of current enterprise architectures. Large, centralized enterprise information systems generate massive amounts of data. So much data, that it cannot be used effectively by the business for accurate and timely store action. So much data, that in order to use it at all, retailers have created rigid structures that are, in turn, forcing them into rigid operating models. Retailers are constrained in bringing new products to market, introducing new store formats, and reaching out to the customer in new and creative ways. Current enterprise architectures are inherently brittle and un-usable at the edges of the business, particularly at the store level. Today's architecture exacerbates the data proliferation issue for virtually every retailer. Data available for use in retail operations and decision-making is increasing exponentially. Retailers today are barely scratching the surface of the benefits made possible by new investments, standards and technologies. Trying to fit new capabilities into an already stressed infrastructure will literally “break the back” of the existing retail systems environment-software, hardware, infrastructure, and business user. We believe, as do most retailers and CPG manufacturers, that the value of actionable insight based on real-time item information at the store level will drive the next great wave of value creation for retailers, CPG manufacturers, and, ultimately, consumers. As new technologies emerge to service the retail environment, these technologies must take into consideration that actionable insight will not be gained by the aggregation of low-level data. In fact, insight is all about the emergence of new ways of thinking that come from managing data, combining and recombining itself into something new. Then, in order to be of the most value, insights need to be accessible and actionable at a local level for real-time execution. Deploying the Ecosystem The evolving retail ecosystem will take advantage of multi-agent distributed processing architectures. These architectures will be designed to leverage existing infrastructure for real-time parallel data processing. Retailers will have a practical and affordable way to handle the complex activities that occur at the store level and are necessary for serving customers. It is only through the convergence of science, technology and business that this kind of model quickly moves from fiction to fact. So when customers demand better service, the business demands better sales and productivity, and the competition is stepping up their technology investment, retailers have a clear way to respond to the challenges. The new retail eco-system based on evolutionary computing and multi-agent systems is leading the retail systems revolution, which will deliver the results required now and in the future. Eco-Solutions versus Traditional Solutions: Comparison of Key Characteristics Eco-Solutions Traditional ERP or Point Solutions Implications - Benefits Distributed processing at point-of- Centralized data processing Real-time management and execution need (Edge) Real-time processing Lags and delays in processing Responsive to environment adaptation Use consolidated and aggregated Use lowest level available data No smoothing or averaging decisions information Products exhibit adapt to environment Behavior dictated through planning Emergent patterns tell us new things Models learn and evolve from experience Models driven by historical data Limited data history or retention required Agents monitor items and relationships Limited ability to monitor low level activity Emergent behavior can improve profits Evolutionary (non-linear dynamic) Linear Models - No real-time feedback Evolution of models to align with Models component reality Distributed Processing Architecture ERP or High Integration Infrastructure High utilization of existing hardware Network Structure Hierarchical Structure Responsive versus brittle processes Complexity addressed through simple Complexity addressed through models complex models Better solutions through simplicity 5
  • 6. Effectively Managing the Evolving Retail Ecosystem Multi-Agent Distributed Processing The design of retail eco-solutions must consider real-world constraints such as store network bandwidth, in-store processor capacity, and limited data storage capabilities. The retail eco- solution is a network of agents, or a “multi-agent distributed system”. Major characteristics of multi-agent systems include: • Agent capabilities are simplified and restricted to reduce the set of information they require. This reduces the need to store large volumes of data, and small amounts of data are communicated at regular intervals to avoid network congestion. • System control is distributed, which prevents costly maintenance at the store level and high overhead at corporate locations. This also provides a redundant fault tolerant operating environment • Data is decentralized and limited to only item profiles, not historical transactions • Computation is asynchronous, which allows the system to operate without interfering with other in-store applications Simplified Agent Architecture Co-operation Component Cooperation Knowledge Planning Component Plans Behavior Based Component Behavior Patterns Acting | Communicating | Sensing Environment Knowledge Agent Environment Agents, as a key component of this architecture, are autonomous, computational entities that can be viewed as perceiving their environment through sensors and acting upon their environment through effectors. Each agent performs a specialized function. The resulting action is based on what the agent learns about the environment through its own perceptions, information gathered from other agents, past behaviors, and planned goals. Unlike current deterministic applications, agents learn from their environment and may alter or abandon their goals entirely if they are not in the best interests of the agent society. Agents sense events that occur in the environment and react based on their existing behaviors. If the event is not recognized, or acting on it would deviate from existing behaviors, the agent evaluates other actions based on overall plans and ultimately looks for advice from neighboring agents. An individual agent's reasoning and functionality are limited, but within a society of agents the final solution is robust and evolutionary. 6
  • 7. Effectively Managing the Evolving Retail Ecosystem Agents of Change To work in retail distributed environments, agents are deployed within an agent “container” that executes on existing in-store processors or other distributed processors. Conceptually, the container supports multiple agent types, each responsible for a specific function. The agent container diagram depicts layers of agents with different types of responsibilities. Communication between agents is not hierarchical however, and agents in a society work together, beyond layer boundaries, to provide optimal solutions and react to changes in the environment. Agents are deployed in stores and communicate with agents at other stores building up a virtual agent network. This agent network is deployed on existing store systems and does not require significant hardware or network upgrades. The agent network is a self-managed environment. Agent controllers ensure that any updates to agent processing and function are maintained and that the right number and types of agents are deployed. Agents are activated when an event occurs. The agent then collects all relevant behaviors and environment information in order to recommend a course of action based on the desired behavior. Agents are deployed dynamically based on monitored events and do not waste processing capacity when there are no events. Communication agents These lowest level agents directly monitor transactional data. They look through the transactions and identify information that would be useful for the items for which they are responsible. Behavior agents These agents house most of the business logic and dictate and reflect the behavior of the items for which they are responsible. This means that an agent must exist for every item being considered. The agents communicate with each other in a network fashion, the topology of which is initially based on the physical supply-chain of the retailer. The output from an agent, in turn, becomes the input for one or many agents elsewhere in the network. Analytic agents Analytic level agents use the genetic profiles and the traditional attributes to infer dynamic relationships, clusters and ad-hoc reporting on item behavior. They do this by either leveraging genetic profiles to determine appropriate groupings of traditional variables or using traditional variables as a measure of 'like' for the purpose of seeding the intelligence model or user driven ad-hoc analysis. Strategy agents Strategy level agents are in place to manage and throttle the extent to which change can be introduced into the eco-system without user approval. These agents also layer in any business or legal constraints to ensure that the emergent behavior Managing the Ecosystem One of the most important considerations in adopting new retail technologies is the integration of new systems into existing technology structures and the ongoing management of new distributed processes. The agent container provides a common infrastructure for the integration of the multi-agent architecture with existing systems. The container also provides common services to manage the introduction of different agent types and agent upgrades without any maintenance overhead. 7
  • 8. Effectively Managing the Evolving Retail Ecosystem In the basic store deployment, agents receive all event data from the POS systems and in- store inventory control systems. Agent containers have an external integration component that communicates asynchronously with store systems. Only basic inventory transactions are of interest to the agent containers. In advanced inventory processes, item information may be received from additional data stores and activities outside of POS and inventory. In an RFID deployment, agent events are increased dramatically as reader level events are broadcast to agents deployed on the Savant. RFID events include product aging, expected lead-times, product space and specific location. The advantage of a learning system is that this low level data does not need to be stored for aggregation and data mining. The agents simply review these events and modify their behavior accordingly. With the introduction of product level RFID the agent network truly extends to the edge of the retail environment, right to the product/shelf level. This is the level where customer and product interaction happen and these are the events that shape the system's behavior. Seeking Outside Help The successful introduction of emerging retail technologies and services at the store level coupled with the future need to manage a multi-agent distributed environment dictates that retailers should look outside their own IT teams for assistance. In the past, retailers have been reluctant to seek the help of outside experts to address their IT challenges, but in the last five years, there has been a growing trend toward IT outsourcing in the retail industry. Today, 40 percent of retailers outsource some element of their IT infrastructure or business processes. In deciding whether to outsource their in-store information technology, retailers should look to achieve a number of strategic, operational and financial benefits, including: • Access to new technology and industry best practices • Freed up management to focus more on core business • Freed up IT resources to focus on strategic projects • Reduced risk by partnering with a large, world-class IT organization • Improved service levels • A single point of responsibility for all store information technology rather than multiple vendors • Improved responsiveness to unforeseen IT issues and disruptions • Improved responsiveness to marketplace changes • Enhanced support of business units with proven processes and procedures resulting in increased productivity • Optimized operating and investment budgets • Reduced technology-related investment risks • Stabilized budgets • Access to improved purchasing power and established partnership agreements • Flexible payment structures that match the retailer's financial needs • Reduced costs 8
  • 9. Effectively Managing the Evolving Retail Ecosystem Retailers are best served by thinking of outsourcing as a long and enduring relationship, one About Quantum RetailI that clearly defines and respects well understood roles and responsibilities. Retailers should select a partner who focuses on quality, who has a solid reputation for providing quality Quantum Retail is a leading provider of solutions and who maintains flexibility in dealing with their customers. The following model intelligent store and item-level RFID depicts an optimum parsing of roles and responsibilities in a successful outsourcing business solutions. relationship. Our software is designed for retail environments using the same principles that allow nature to deal effectively and efficiently with complexity. These Client Partner applications, which enable companies to adapt, evolve, and thrive in a Systems Needs Systems Needs dynamic and complex environment, are called “Eco-solutions.” Eco-solutions are made possible by the convergence Defines of new technologies including edge Benefits Benefits Supports Authorizes Recuperation computing, evolutionary computing, Recuperation Counsels multi-agent distributed processing and Supervises RFID. Our mission is delivering intelligent Architecture Architecture “edge” applications to the retail and manufacturing industry to bring about the next great wave of business value for retailers. Integration or Integration or Development Development For more information, please visit our Website at www.quantumretail.com or contact us at info@quantumretail.com Controls Executes Implementation Implementation Operation- Operation- Management Management What a Partner Should Provide Because a retailer's store systems IT infrastructure represents a complex microcosm of technology, processes, and support elements, a store systems outsourcing relationship may encompass a broad set of interrelated components. For purposes of simplification, a retailer's outsourcing partner should: • Standardize existing stores on a common technology platform. • Manage the new store rollout process. • Purchase and manage all store technology hardware and software. • Assume responsibility for the standard store software configuration (i.e., manage the creation of the gold disk). • Stage, install and test all store technology assets at the store. • Provide a single point-of-contact help desk. 9
  • 10. Effectively Managing the Evolving Retail Ecosystem • Perform all software development and maintenance needs. About CGI • Perform all the stores technology hardware and cabling field service maintenance via various service levels. Founded 1976, CGI has worked with clients in a wide range of industries to • Develop an annual store technology plan based on the retailer's business needs, industry help them leverage the strengths of technology developments, and their partner's industry expertise. information technology (IT) to optimize • Implement standard processes and procedures. their business performance and produce value-driven results. We also • Manage service levels and implement reporting to track the effectiveness of the store offer a comprehensive array of technology delivery processes and to identify opportunities for continuous improvement. business process outsourcing (BPO) • Provide technology and retail expertise and facilitate the Store Technology Steering services, enabling us to help manage Committee. The committee is comprised of the retailer's CIO and business and improve our clients' day-to-day representatives. business processes while freeing them up to focus more on strategic decision • Manage all of the store technology vendors. making. Our consulting, systems integration and outsourcing services Conclusion provide a total solution package Forward-thinking retailers are exploring new technologies to position themselves at the designed to meet our clients' complete forefront of an increasingly competitive and rapidly changing marketplace in an effort to meet business and technology needs. We their customers' expectations and to continue to lower costs. Emerging technologies such as approach every engagement with one edge computing, RFID, wireless devices, self-service, and other types of in-store technology objective in mind-to help our client win promise to transform how retailers compete. and grow. CGI provides services to clients worldwide from offices in A new retail ecosystem is emerging, one that will operate on low levels of information, build Canada, the United States, Europe, as relationships between information, and look to use this information in ways that will improve well as centers of excellence in India the performance of the organization. There is today an emerging convergence of and Canada. technological innovation that supports the move to this new paradigm: • Evolutionary computing capabilities To explore this topic and how we can help, contact your CGI account • Edge computing capabilities manager or visit • Multi-agent distributed processing http://www.cgi.com/web/en/head_office.htm for the location of the CGI office • RFID and wireless technology adoption nearest you. Other information about Successful retailers will be those that adopt these emerging technologies and implement and CGI can be found at www.cgi.com manage this retail ecosystem. Future industry innovation and value creation will appear primarily at the “edges” where retailers interact with customers, manage their supply chains, and weave in new technologies. To effectively leverage new technology and manage the ever-increasing complexity of the store technology environment, retailers should seriously consider turning to store systems outsourcing. With the retail and technology expertise of a strategic outsourcing partner, retailers will be able to focus on their customer and will be well prepared for the “store of the future”. 10