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Optimize merchandising operations

Use AI for assortment optimization, predictive demand forecasting, price and promotion optimization, and inventory management and insights. Maximize revenue from existing stock, and improve inventory efficiency. Reassess demand based on emerging trends and localized signals to create more curated assortments.

Automate inventory management workflows from planning to product placement and goods movement. Harmonize data across different systems to improve inventory orchestration and analysis. With this set of retail-specific capabilities across the Microsoft Cloud portfolio and partner ecosystem, merchants and store operators can optimize merchandising operations, drive demand velocity, and increase profitability by using AI.

Use cases

Use case Description
Assortment optimization - Make your catalog and product content discoverable through conversational AI, and help automate the product attribute tagging process for marketers, merchants, and other functions
Predictive demand forecasting - Reassess demand based on emerging trends and localized signals to create curated, hyperlocal assortments
Price and promotion optimization - Optimize pricing and seasonal promotion performance with generative AI
Inventory planning and insights - Use agents to maximize revenue from existing stock and improve inventory efficiency without relying on large markdowns
- Automate inventory management workflows from planning to product placement and goods movement
- Harmonize data across different systems to improve inventory orchestration and analysis

Core differentiator

  • Microsoft’s first-party solution Catalog Enrichment Agent in Copilot Studio. This is a pre-built template that allows for autonomously managing and enriching product catalogs.
  • Build your own agent using Copilot Studio.

Supporting Microsoft technologies

Copilot and Agents at work

Unify your data platform

See also

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