Mais conteúdo relacionado
Next orbit accelerating growth by uncovering lost opportunity
- 1. Accelerating Growth by
Uncovering Lost Opportunity
© Copyright 2017 – NextOrbit Proprietary & Confidential
4512 Legacy Drive,
Suite 100, Plano, TX 75024
1
Powered by
AI(Artificial Intelligence) and Machine Learning
for Supply Chain decisions
- 2. Store Inventory
Full Price Sell-Through
Basket Size
Fashion Fatigue
Giant excel spreadsheets
Impact of holidays factored only
using judgement
Not granular enough (Store, SKU
and Day)
Does not include lost opportunity
from history
© Copyright 2017 – NextOrbit Proprietary & Confidential
2
Mis-planning
Mis-allocation
Out-of-stock
… leading to diminished customer experience and loyalty
Brands and Retailers often use human judgement or rule-based software to make critical
supply chain (store allocation and demand planning) decisions …
- 3. Fashion & Core Demand Planning
Store Allocation/Store Ordering
Sale Pattern Alerts
© Copyright 2017 – NextOrbit Proprietary & Confidential
3
Stock Turns
Full Price Sell-Through
Same-Store-Sales
5-10%
5-10%
4-15%
… leading to enhanced customer experience and higher loyalty
Basket Size 4-5 %
The NextOrbit Cloud platform introduces precision in Demand Planning and Store Allocation
by the use of AI(Artificial Intelligence) and Machine Learning …
- 4. © Copyright 2017 – NextOrbit Proprietary & Confidential
NextOrbit discovers the impact of holidays, local events, travel patterns and other predictors
on store level sales …
4
• Different SKUs have different velocities. This is considered when understanding the “signal” of each SKU
• Then the impact (lift or dip) of holidays and local events is discovered
• Abnormal lifts and dips are investigated for causal factors – a press announcements, a tweet from a celebrity
… the result is an intimate understanding of demand – base demand, seasonality, trend,
noise, impact of each holiday, event, weather pattern, travel patterns and other factors.
And all of this happens at a store, category and SKU level
- 5. © Copyright 2017 – NextOrbit Proprietary & Confidential
5
NextOrbit produces a demand plan, and creates store allocations to at a store and SKU level …
As more attributes are considered, the demand plan becomes more fine grained and accurate
- 6. © Copyright 2017 – NextOrbit Proprietary & Confidential
6
Retailer/BrandDataExternalData
- 7. Retailer
Data
Data Needed
• Point-of-sale
• Store Deliveries
• Stock Levels
• DC Dispatches
• Master
Information
Data Quality
Check &
Preparation
Lost
Opportunity
Assessment
Priming
Algorithms
Go-Live
Pilot Store
Go-Live
All Store
2 Weeks 1 Month 2 Weeks 1 Month 1 Month
Implement the platform for the
Retailer/Brand
Measure Outcomes & Establish
Effectiveness such as:
• Sell-Through Levels
• Inventory Turns
• Out-of-stock Levels
© Copyright 2017 – NextOrbit Proprietary & Confidential
The engagement with NextOrbit will need your (cleansed) data and 2 months to demonstrate
credible improvements in business outcomes …
7
- 8. • NextOrbit sits on Amazon cloud, which is now relied upon by NASA, many banks,
and other mission critical organizations
• All access requests are through secure access only – no risk of theft of data in transit
• Data is encrypted at rest, providing high security against theft
• We replicate our Amazon instances across availability zones – disaster recovery is
taken care off
• All access to data is logged and is auditable. Authorized employees of NextOrbit
have access to client data
© Copyright 2017 – NextOrbit Proprietary & Confidential
Security of client data is paramount in the architecture of the NextOrbit platforms …
8
- 9. Kishore Rajgopal
Founder & CEO
Plano TX & Bangalore
Mayank Shende
Co-founder &
Data Scientist, Bangalore
Sathish Bhat
Chief Strategy Officer
Bangalore
Bernard Anderson
Principal Consultant
San Antonio TX
• Over 20 years of experience in
consulting, product development,
business development, Business
Intelligence and analytics.
• During his 9+ years stint at Infosys in
Plano TX, he evangelized and
developed technology consulting &
technical architecture that
repositioned Infosys as a consulting
player.
• He has patented a data driven
methodology to determine
quantitative and qualitative trade-
off between risk and profitability.
He has presented this work at
Abnormal Situation Management
Consortium 2012, USA.
• His areas of expertise includes
process optimization, pattern
recognition, dynamic
programming, model predictive
control, computational
techniques, artificial neural
network, and frequency analysis.
• Experienced consultant with
expertise in the areas of retail,
consumer packaged goods and
supply chain.
• Consulted with HEB on out-of-
stock. His work got published in the
HBR article – “Stock out causes
Walk outs.”
• A proven track record with a focus
on the customer, developing a
team-centric environment, and a
talent for improving collaboration
throughout the organization.
© Copyright 2017 – NextOrbit Proprietary & Confidential
• With over 26 years of
experience in various roles
in the Retail Industry
Sathish has been an
extremely valuable
resource for retailers, and
consumer products
manufacturers.
• With a variety of roles
from being Regional
Controller to Chief of
Operations & Senior Vice
President, Sathish is a
brilliant leader with great
analytical skills as a retail
professional.
9
The NextOrbit core team combines deep knowledge of the Fashion and Apparel industry
along with deep expertise in data sciences required to improve business outcomes …
- 10. NextOrbitis your nervous system – using machine learning
and data science to enhance key decisions
Email: kishore.rajgopal@nextorbit.com
Corporate URL: www.nextorbit.com
Address: 4512 Legacy Drive, Suite 100, Plano, TX 75024
© Copyright 2017 – NextOrbit Proprietary & Confidential
10