microsoft2026-10-18life

Compare seasonal sales and style signals when planning an assortment

At a glance

The scenario combines historical sales, current performance, market research, and dashboards to inform a merchandiser's product-mix review. This workflow is listed under life, retail, merchandising.

Agents / tools: Microsoft Analyst, Copilot in Power BI, Microsoft Copilot Chat
Source: https://adoption.microsoft.com/en-us/scenario-library/retail/improve-merchandising-decisions/
Deep link: https://usecaseboard.com/usecases/b026ee0fb4ca6e12aa1d78835281ffa8

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Prompt excerpt

Provide the approved location and category sales data and state the assortment decision. Ask Analyst to compare historical and current-season performance, then research relevant style signals separately. Inspect the calculations and evidence in the dashboard and review the proposed product mix with the merchandising team before ordering.

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microsoft2026-10-18life

Build a store-shift handoff from verified product, policy, and display notes

Microsoft's store-associate example uses Copilot for product and policy lookup, planogram guidance, and an end-of-shift summary for colleagues.

Microsoft Copilot ChatProduct documentsPlanogram

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microsoft2026-10-18life

Research a supplier shortlist for certifications, service quality, and product fit

Microsoft's retail scenario combines defined evaluation criteria, supplier reports, review evidence, and product specifications before drafting procurement communication.

Microsoft Copilot ChatSupplier documents

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google2026-10-18life