Problem Statement
The client, a premium Los Angeles–based athleisure brand operating across retail and e-commerce channels, faced increasing planning complexity driven by rapid SKU growth, frequent product launches, and omnichannel expansion.
Structural inefficiencies within its Anaplan ecosystem led to performance bottlenecks, slower reporting, and governance gaps — limiting scalability, inventory visibility, and decision agility. The organization needed a streamlined, high-performing planning architecture to support sustained growth.
Key Challenges
- Inefficient Transactional Hub with high dimensional sparsity and processing bottlenecks
- Overengineered Demand Planning model with redundant calculations and large footprint
- Reporting embedded within planning models, causing performance conflicts
- Slow report generation impacting in-season inventory and OTB visibility
- Fragmented integration workflows reducing data processing efficiency
- Absence of structured ALM controls increasing deployment and operational risk
Architecting with the Best Tech Stack
Solution Implemented
- Re-architected the Transactional Hub to reduce sparsity, streamline logic, and improve scalability
- Simplified Demand Planning through combination keys, modular design, and elimination of redundant calculations
- Implemented a separate reporting model to decouple analytics from planning workloads
- Optimized data synchronization and cross-model dependenciesM
- Established a structured ALM framework with dedicated Development and Production environments
- Introduced controlled release cycles and structured testing workflows
- Standardized governance and integration processes across the planning landscape
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