Designing a Supply Chain Planning Analytics Portal

Supply Chain Planning Software *
Prescriptive
(What ifs/ Optimization: Rev Vs
Profit optimization; What ifs on
demand variance etc)
To make smart decisions here
(Improve and Control **)
Predictive
(Statistics/ Machine learning:
Demand Planning; Promotion
Planning; Inventory Optimization
etc)
Improve/Planning for Future
Understanding today to improve
Diagnostic/Recommend
(Root Cause Algorithms/
Recommendations: RCA for Fill Rate
drops, Inventory shortage/excess,
Accuracy/Bias issues etc)
Need to be good at this
(Measure and Analyze **)
Descriptive
(Metric tracking/ Analysis: Fill
Rate/OTIF; Accuracy; Bias; Turns;
DOH; Production adherence; Top
down and bottom up analysis etc)
* Non exhaustive
** Reference to DMAIC
Self Service
Plug and Play
Design from scratch
Pre built/Ready to deploy
Start ups in pilot mode
Invest to automate descriptive & diagnostics analysis with feeds from Demand and
Supply planning systems to create a “One stop” analytics portal
Basic requirements of the software
• Integrates with current system to bring together
planning and transactional data
• Built in dashboards/analysis, algorithms and
recommendations
• Quick and Cost effective deployment
Improve; Control
Process
Improvement
Statistics
Demand Issue
CUSTOMER
SERVICE
Fill Rate/
OTIF
Define, Measure
DEMAND
PROCESS
Process
Improvement
Root Cause Analysis
algorithms *
Accuracy/Bias
/Variance
Root Cause Analysis
algorithms
Define, Measure
Analyze
Inventory
Turn/DIOH
Root Cause Analysis
algorithms
Define, Measure
Analyze
What ifs
Analyze
Supply Issue
SUPPLY/
INVENTORY
PROCESS
Optimization
Improve; Control
Process
Improvement
Improve; Control
* View limited to demand-supply planning
Concept for Supply Chain Planning analytics portal (non exhaustive)
See in Slideshow mode
Root Cause
Trends
Segmentation
Analysis*
Root Cause Analysis
algorithms
Predicted Fill
Rate
Fill Rate/
OTIF
Top Customer
(lost sales)
Accuracy/Bias
Trend Analysis
Forecast Analysis
(Growth/Trends)
Inventory
Turn/DIOH
Trends
CUSTOMER
SERVICE
Accuracy/Bias
(Lag1)
Accuracy/Bias
(Lag2/3)
Inventory
Turn/DIOH
Root Cause
Analysis
algorithms
DEMAND
SUPPLY/
INVENTORY
Forecast Variance
Exceptions
Segmentation
Analysis*
Bias
Distribution
Analysis
Inventory Plans from
planning systems
Trend
analysis
Top SKU
(lost sales)
MTD
Consumption
Analysis
Daily Inventory DOH
(Short/Excess)
Forecast Cover
Analysis
Inventory DOH
Distribution
Tactical
Production
Adherence
Process
Demand Plans from
planning systems
Strategy
Aging/
Write off risk
Analysis
Norm Analysis
& updates
% Fill Vs %
Utilization
Analysis
Supply Plans from
planning systems
* Analyzing performance by segments (ABC class
at product and customer; New Vs Reg SKUs etc)