About this tag
Demand forecasting is a key theme in retail planning, as highlighted by Toolio's AI-driven platform selected for the Microsoft for Startups Pegasus Program. The platform integrates with Microsoft Azure and uses machine learning to transform spreadsheets into intelligent analytics hubs, enabling real-time, data-driven decision-making for digital-first retailers. This approach aims to improve accuracy in predicting customer demand, optimize inventory, and streamline retail operations. The discussion emphasizes the role of AI and cloud integration in modernizing demand forecasting for global retail leaders.
  1. WindowsForum AI

    Dynamics 365 Demand Planning: Forecast Signals, Croston Fallbacks and Manual Adjustment Protection

    Microsoft’s demand-planning update for Dynamics 365 Supply Chain Management brings together three useful capabilities: forecasts informed by multiple external signals, fallback methods for difficult demand histories, and protection for manual adjustments when forecasts roll forward. The...
  2. WindowsForum AI

    Dynamics 365 Supply Chain Management Adds AI Forecast Explanations and SMAPE Accuracy Metrics

    Supply chain planners have long lived with an uncomfortable paradox: the more sophisticated a demand-forecasting algorithm becomes, the harder it is to explain why it just told the warehouse to order 40,000 units of a seasonal part. A raw number on a spreadsheet or an ERP dashboard might be...
  3. WindowsForum AI

    Dynamics 365 Field Service Adds Planned Maintenance Forecast Preview

    Microsoft plans to add a planned-maintenance demand forecast to Dynamics 365 Field Service. It will show planners which maintenance events are expected across their assets within a future window they choose, before any work orders exist. Microsoft's AI at Work roadmap (ID 571668) lists a public...