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IBP Demand Planning for Food Processing Major
Business Problem and Asks
- Unable to segregate promotion impact to generate baseline forecast for short term
- Inability to build consensus demand due to planning in silos
- Enable different Forecast Models / Algorithms for different Product – Customer – Location combinations
- Maintain Data consistency for adjustments provided at a higher level
- Identify gaps between customer demand and financial plans
Solution Design Approach
- Configured various Forecast Models and Algorithms via Forecast Profile Assignments
- Considered Product Segmentation, Seasonality, New Product Launch scenarios
- Near term demand plan based on Open Sales Orders, Shipment & POS data
- Incorporated sales promotions, & macro-economic trends to refine the statistical forecast
Business Impact
- Reduced man-hours required for planning by 30%
- Improved Forecast Accuracy of 35% from earlier levels
- Enabled cross-location planning in IBP with What-if analysis
- Created custom Views, Dashboards for Output analysis
- Automated Alerts to resolve critical exception scenarios
