Use Case 01 · Retail

Product Content & Description Generation

Retailers with large catalogues can't maintain high-quality, SEO-optimised product descriptions across thousands of SKUs — leading to poor conversion rates, high returns, and missed organic search traffic.

The Challenge

Why This Happens

Product data arrives from hundreds of suppliers in inconsistent formats — sparse Excel, brief PDFs, incomplete bullet points in emails. Transforming raw supplier data into compelling, on-brand, channel-appropriate copy for web, catalogue, and marketplace is entirely manual and cannot scale.

How Copilot & M365 Address This
  1. 1Supplier data ingestion via SharePointSupplier specification sheets uploaded to SharePoint; Copilot extracts key product attributes automatically.
  2. 2SEO-optimised descriptions draftedWord Copilot drafts descriptions using brand voice guidelines from the SharePoint content library — aligned to channel requirements.
  3. 3Team review via Teams approval workflowMerchandising team reviews and approves copy via a structured Teams workflow before publishing.
  4. 4Batch processing for product launchesCopilot handles new product launch waves of hundreds of SKUs simultaneously — no bottleneck during peak periods.

Impact & Results

Impact Metrics
12→140Product descriptions per writer per day
+23%SEO click-through rate improvement
−17%Product return rate (wrong expectation)
Measured via: Content production tracking in SharePoint. Google Analytics CTR data. Returns management root cause attribution.

We launched a new range of 800 products last autumn. Previously that would have meant months of copywriting. We did it in three weeks with the same team. The descriptions were better too — Copilot maintains our brand voice more consistently than rotating between four copywriters.

AM
Ahmed Al-Mazrouei
Head of Digital Commerce, Retail Group, Dubai

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