7 October 2026International edition
Vol. I · No.
7 October 2026
AI in Fashion
DAILY
The daily briefing on AI in the fashion business
Where fashion meets artificial intelligence.
Glossary

What is an AI copilot in fashion software?

An AI assistant embedded in a software tool that helps a user with tasks while the user stays in control.

In short

A copilot is an AI assistant embedded in a software tool that helps a user with tasks while the user stays in control. In fashion, copilots in PLM, PIM or B2B ordering tools draft content, summarise information and suggest actions that the person then reviews and decides on.

How does it work in practice?

A copilot sits inside the tool where people already work. It suggests, drafts or summarises, but the person decides. In a PLM system a copilot might draft a tech pack description from a sketch and notes. In a B2B portal it might suggest an order based on a store's past purchases, which the buyer can adjust or reject.

Typical copilot tasks in fashion include:

  • Drafting product descriptions and translations from attributes.
  • Summarising buyer feedback after a selling campaign.
  • Suggesting order quantities or missing sizes in an assortment.
  • Answering staff questions about terms, deliveries or product details.
  • Preparing emails and meeting notes for sales agents.

Why does it matter?

Copilots bring AI into daily work without requiring people to switch tools or learn new interfaces. Because the user stays in control, they are often easier to introduce than fully automated systems, and accountability remains clear. They can save time on routine writing and searching, freeing teams to focus on product, customers and decisions.

How does AI use it?

The term describes a design pattern rather than a specific product and is used generically across many tools. Copilots usually combine a language model with access to the host application's data, grounded answers and a human in the loop by design.

Common pitfalls

  • Rubber-stamping. Users may accept suggestions without checking them, especially under time pressure.
  • Limited data access. A copilot that cannot see relevant product or order data gives generic answers.
  • Unclear value. Introduce copilots for specific tasks with measurable benefits, not as a general feature.
  • Permissions. The copilot must only show data the user is allowed to see.

Frequently asked questions

What is the difference between a copilot and an AI agent?

A copilot assists a person who stays in control of each step. An AI agent can act on its own across several steps towards a goal, within set limits.

Can a copilot place orders in a B2B portal?

Typically it prepares or suggests orders, and the buyer confirms them. Fully automated ordering would move it closer to an agent and needs stricter controls.

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