Maisons du Monde
Generative AI product sheets, price prediction and image recognition
Maisons du Monde wrote all spring-summer 2024 product sheets with generative AI and tripled copywriting productivity, per Google
Problem
The retailer's catalog grew from 15,000 to 300,000 products after it opened a marketplace. Before, only furniture had written product sheets. The marketing budget stayed constant.
Approach
Maisons du Monde used generative AI to write and enrich product sheets with dimensions, materials and ambiance. It also used AI to predict promotions and prices, and image recognition to find visually similar products across its own range and its marketplace. The work was done with Google and Artefact, and the AI sprint lasted three months.
Results
Takeaway
Generative AI let a fixed copywriting team cover a catalog twenty times larger. The article does not say how the sheets were checked for quality.
Categories
- Industry
- Retail and e-commerce
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
Google France article on the retailer's use of AI and first-party data. It reports that generative AI wrote all spring-summer 2024 product sheets in five languages and that copywriting productivity tripled. It also covers AI price and promotion prediction, image recognition, and a catalog that grew from 15,000 to 300,000 products.
Full details are in the original sources.