Retail organizations continue to invest in data platforms, forecasting tools, and planning systems, yet many struggle to align decisions with execution. Plans are created, but the assumptions, constraints, and decisions behind them are fragmented across systems, spreadsheets, and teams, resulting in missed promotions, forecast inaccuracies, and slow replanning cycles. 

Wipro’s Closed-Loop Retail Planning solution, powered by Snowflake and Board, transforms planning into a continuous, intelligence-driven process. By establishing a single, trusted data foundation and embedding decision workflows into planning systems, organizations can capture, track, and continuously improve decisions across merchandising, supply chain, and finance. 

At its core: 

• Snowflake provides a planning-grade, real-time data foundation across POS, inventory, promotions, and external signals 
• Board enables unified planning workflows, capturing decisions, targets, and constraints in a governed environment 
• The intelligence layer integrates hindsight (why outcomes varied) with foresight (what will happen next) to enable scenario-driven decisioning 

Wipro brings these layers together with industry accelerators, retail-specific data models, and end-to-end execution expertise, enabling faster deployment, stronger adoption, and measurable outcomes. With constraint-aware forecasting, scenario simulation, and aligned execution, retailers move from disconnected planning cycles to a unified, dynamic decision loop that drive differentiated value for their customers.  

This approach has enabled large global retailers to standardize assortment and product lifecycle planning across regions, improve cross-functional visibility, and scale consistent merchandising decisions, while supporting rapid adoption and regional rollouts. By connecting data, planning, and execution in a single decision framework, retailers can improve forecast accuracy, reduce stockouts, accelerate response to demand shifts, and improve inventory productivity across channels. 

Proof over Promise

When a global luxury fashion brand with more than 200 stores accelerated its shift to a retail-led growth model, it needed greater control over inventory and production planning across a rapidly expanding omnichannel network. Wipro helped implement an integrated enterprise planning platform in just seven months, enabling advanced demand forecasting, dynamic stock rebalancing, scenario planning, and automated replenishment. The result: improved product availability, fewer stock-outs, reduced excess inventory, stronger production planning, and the agility to respond to seasonal demand while maintaining consistent service levels across global markets.