What will you learn about AI product enrichment?
- Find the gaps that delay product launches, from mismatched supplier files to missing attributes.
- See how an agent can standardise product data, remove duplicates, draft descriptions in your brand voice and translate listings.
- Keep each proposed value tied to its source, check uncertain results and approve changes before publication.
- Choose one product category for a pilot, then measure the quality and time saved before expanding.
How does a supplier file become a product listing?
The session follows a product from a supplier file towards a listing. Tiberiu will explain where an agent can prepare structured attributes and copy, and where a person needs to review the result before it reaches a shop, PIM or marketplace.
How do you check the agent’s product data?
AI can fill a blank field with a plausible answer that is wrong. The webinar covers source links, confidence checks and human approval for uncertain values so your team can see why each product detail was suggested.
Which product category should you pilot first?
Start with one category and run the agent alongside your current process. Compare the time needed to prepare listings and the quality of the approved data, then decide whether to extend the workflow to more categories or markets.
Who should attend?
Ecommerce directors, heads of digital, operations leaders and the teams responsible for product data, merchandising or marketplaces. The session is aimed at retailers, brands and distributors with growing catalogues across several channels or markets.
You will leave with a way to identify the slowest part of your catalogue process, the controls an enrichment agent needs, and one product category to consider for a first pilot.