In the presentation, you will find a supply chain overview, problem and solution element, process flow, and roadmap. Supply chains are increasing in complexity due to the number of relationships with companies and their partners that supply chains have. These challenges have created a demand for efficient and accurate supply chain management strategies that can re-shape the way companies can work. This demand has led to the emergence of technologies such as Predictive Analytics. can be used in sales forecasting.
4. KPI of Supply Chain
Supplier Manufacture Warehouse Distributor Customer
Raw Material
Price
Time of Accurate
Delivery
Raw Material
Availability/Quality
Production Plan
Vs
Production
Length of filling
Order
Availability of
Finished Goods
In Time
Fully / Without
Error
Sales Vs Plan
Availability
6. ASSUMPTION
01 Goods are produced according to actual
demand as opposed to forecasts
PULL PROCESS
02 Uncertainty of demand during each month
of a year
UNCERTAINTY
DEMAND
03 Crucial to increasing efficiency and
eliminating waste in manufacturing
LEAN
METHODOLOGY
04 Data was still siloed and not available or
understandable to everyone within the chain
DATA
FRAGMENTATION
9. Vision
Problem
being Solved
Benefit to
Business
Success
Criteria
Create a single source of truth for
demand forecasting across
Consumer
Low accuracy and reliability
Late forecasts
Reduction in Resource time
Improvements in accuracy
impact to revenue
Centralized, easy-to-use
platform that supports multiple
inputs, models, reporting
features, and connectivity
Streamline and automate
multiple, manual processes and
data inputs for generating
forecasts across different regions
Manual data aggregation
and manipulation
Insufficient signals or
inputs to anticipate
changes in the market
Improvements in supply
signals will give Company a
stronger negotiating
position with suppliers.
Unified view of demand
supported by an automated
aggregation of various granular
models
Infuse Machine Learning to
generate highly accurate, on-
demand forecasts
Process Inconsistencies
based on Excel-driven
solutions
Integration with other
processes, allowing greater
ability to steer the business
with improved visibility and
forecast accuracy
ML-driven forecasting engine
that leverages an ensemble of
algorithms to strengthen model
accuracy
