Problem Statement
A leading U.S.-based food manufacturer with multi-site operations faced growing planning complexity as its product portfolio and distribution footprint expanded.
The existing Anaplan environment struggled with model inefficiencies, manual promotional planning, non-optimized procurement rounding, and fragmented site-level visibility. These structural gaps limited scalability, slowed planning cycles, and reduced cross-site coordination.
To enable scalable growth, the organization partnered with Polestar Analytics to re-architect its demand and supply planning ecosystem into a high-performance, centralized planning backbone.
Key Challenges
- Overly complex demand planning architecture causing performance bottlenecks and limiting scalability
- Large model footprint consuming excessive tenant workspace and restricting flexibility
- Heavy calculation logic slowing planning cycles and reducing responsiveness
- Manual promotion planning with high dependency on overrides and inconsistent uplift application
- Lack of EOQ-based rounding for non-finished goods leading to procurement and production misalignment
- Fragmented site-level planning with disconnected PO, SO, and inventory visibility across locations
Architecting with the Best Tech Stack
Solution Implemented
- Re-architected demand planning model to eliminate structural inefficiencies and improve scalability
- Optimized dimensional structures and streamlined calculation logic to enhance processing performance
- Reduced model size to free tenant workspace and improve overall system efficiency
- Implemented automated promotion uplift logic to replace manual overrides and improve forecast consistency
- Integrated EOQ-based rounding intelligence to align procurement quantities with production constraints
- Established centralized inter-site planning with unified visibility across demand, supply, and inventory
- Enabled structured inter-site transfer planning with seamless ERP synchronization
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