Improve forecast accuracy, alignment and accountability. Build accurate forecasts using predictive analytics to forecast fashion, seasonal and long lifecycle products.
Predict accurate demand to plan receipts and maintain optimal inventory levels. Use AI/ML driven forecasts to drive Merchandise, Assortment and Allocation planning. Adapt to recent trends, seasonality, stock positions, and promotions during In-season to, and reflect retailers’ unique demand drivers to maximize profitability.
Top reasons organizations are upgrading their Retail Demand Planning capabilities
Scalable, next-generation system
Handle omni-channel complexity with continually learning forecasting techniques and handle billions of records while saving costs
Integrate External Drivers
Deploy new external data sources to improve forecast accuracy.
Use cases favored by our clients
Exception based workflow
AI driven actionable recommendations
Forecast based on business drivers such as weather, consumer feedback, social media data, local events, pricing, promotions, seasonality etc.
Forecast basic, seasonal, hardlines, softlines, grocery with statistical and AI/ML forecasting models
Adapt to recent trends, seasonality and promotions
Real-time aggregation and disaggregation at any level in the hierarchy
Short lifecycle product forecasting
Range based forecasts
Attribute based automated search for new product introduction
Execution and scaling of AI/ML algorithms developed by customer data science team
Forecast Accuracy & Bias Post Game Analysis
What-if scenarios and simulations
Looking for a next-generation Retail Demand Planning solution?