Problem Statement
The client, a global alcoholic beverage company operating through a GCC-led planning model, faced growing challenges in managing inventory across 15 markets and 20 warehouses. Inventory planning was heavily Excel-driven, limiting scalability, accuracy, and responsiveness. Lack of centralized visibility into in-transit inventory, rigid planning assumptions, and fragmented data resulted in inefficient replenishment, higher working capital pressure, and inconsistent service levels across regions.
Key Challenges
- Limited visibility into in-transit and open orders, impacting replenishment accuracy
- Inaccurate fill-up logic leading to overstocking and understocking
- Static planning assumptions with limited scenario planning capabilities
- Fragmented inventory data across markets and SKUs, increasing manual effort
- Complex shipping and load planning with market- and SKU-specific constraints
- Manual exception handling reducing scalability of centralized GCC planning
Architecting with the Best Tech Stack
Solution Implemented
- Implemented a centralized inventory planning and demand allocation solution on Anaplan
- Integrated opening inventory, in-transit stock, open orders, and target DOI into a unified fill-up model
- Enabled intelligent in-transit visibility using dynamic transit and lead-time logic
- Established a centralized master data foundation as a single source of truth
- Enabled parameter-driven scenario planning governed by the GCC
- Delivered real-time inventory visibility across warehouses and markets
- Implemented shipping and logistics optimization using Anaplan Optimizer to ensure executable, cost-efficient load planning
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