Improve forecast accuracy, alignment and accountability.
Build accurate forecasts with o9’s AI solution for Retail Demand Planning and use AI/ML based predictive analytics to forecast fashion, seasonal and long lifecycle products.
Top reasons retailers are upgrading their demand forecasting capabilities
- Handling omni-channel complexity
- Ability to forecast all product types: basic, seasonal, hardlines, softlines, grocery
- Leveraging new data sources to improve forecast accuracy
- Move to big data architecture that can process billions of records at a fraction of the current cost
- Upgrading from current legacy systems and spreadsheets to a cloud based system
- Exception based workflow
- AI driven actionable recommendations
- Comprehensive statistical and AI/ML forecasting models
- Forecast top-down, bottoms-up or middle-out
- Real-time aggregation and dis-aggregation at any level in the hierarchy
- Forecast based on business drivers such as weather, consumer feedback, social media data, local events, pricing, promotions, seasonality etc.
- 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
- Cycle over Cycle Forecast Change
- Forecast Accuracy & Bias Post Game Analysis
- What-if scenarios and simulations
Retail demand planning with the o9 platform
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.