An AI step in a fashion retailer’s product pipeline that writes and checks every online product description in the brand’s own voice, in milliseconds.
Innovate with Azure AI Apps and Agents
Microsoft
Delivery partner
Practice
The results
A leading South African fashion retailer needs more than 30,000 product descriptions a year, across divisions from clothing and swimwear to intimate wear and homeware. Each division sells to a different customer, and copy for a trend-led student cannot read like copy for someone furnishing a family home. Writers worked from photos and label details, a few minutes per item, and holding one consistent voice at that volume was close to impossible.
TaglineIQ sits in the integration layer between the PIM and the store, so descriptions arrive where the team already works.
ERP
Item code, brand, division and attributes are set up in the back end.
PIM
The product team adds photography and range detail.
TaglineIQ
Drafts the description for the brand and customer, then a second AI pass validates it.
Grounded in
PIM
The finished HTML lands on the product record, next to its images.
Online store
The product goes live with copy in the right voice.
We built TaglineIQ as a step in the retailer’s integration layer, not as another app. As a new SKU moves from the ERP into the PIM and picks up its imagery, the integration calls TaglineIQ with the item’s attributes, its brand and a short brief on the target customer. TaglineIQ drafts the description on Azure OpenAI GPT-4o, grounded through Azure AI Search in thousands of the retailer’s past descriptions and its brand and tone of voice guides. A second AI pass then checks the draft against the item record and the brief, and sends it back for a rewrite if anything is off. Because the tone travels with each request, a brand refresh means a new brief, not a retrain.
What the integration sends, and what TaglineIQ sends back.
From the PIM
Customer brief
Trend-led students, 18 to 22, who find their style on TikTok, want value for money and would rather set a trend than follow one.
Back to the PIM
Validated by AISix pockets, a high rise and a leg that does not quit. These black cargos are made for days when you want to look like you tried, without trying.
Black, 100% cotton. Grab them before your feed does.
TaglineIQ now writes more than 30,000 product descriptions a year. Each takes milliseconds instead of minutes, has already been validated by AI, and lands in the PIM as clean HTML next to the item’s images, ready for the online store. The voice stays consistent from swimwear to homeware. It runs in the retailer’s own Azure estate behind Entra ID and Key Vault with full telemetry, and the first version went from kick-off to sign-off in 30 days.
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