AI merchandising
Contextualising thousands of products, made economically possible
A European home improvement retailer had thousands of SKUs and basic product shots. We turned them into seasonal lifestyle imagery across catalogue, eCommerce and store.
- Client
- European DIY retailer
- Industry
- Home improvement retail
- Market
- Europe
The brief
The challenge
A large European DIY retailer faced a merchandising problem that did not scale. Thousands of SKUs each needed contextualised imagery for catalogues, eCommerce pages and seasonal in-store promotions, and the starting point was basic product shots, many of them low resolution.
Every product needed lifestyle context across the retail calendar: Christmas displays, spring gardening, summer outdoor living, back to school. Traditional photography at that scale was simply not affordable. Studio shoots per context, separate sessions per season, heavy post-production: none of it fits a continuous promotional cycle.
How we worked
Our approach
We used AIGC to make per-SKU contextual imagery viable, and built it to amplify the merchandising team rather than replace it.
-
Basic shots into lifestyle imagery
Low-resolution product shots became rich visuals showing the product in workshops, renovated rooms and outdoor spaces.
-
Seasonal assets on demand
Promotional imagery is generated to match the retail calendar without booking shoots months ahead.
-
Consistent across every channel
Print catalogues, eCommerce product pages and in-store displays share one visual standard.
The output
What we delivered
- Thousands of contextualised product images from basic shots
- Seasonal promotional visuals for in-store merchandising
- eCommerce product imagery showing real-world use
- Catalogue-ready lifestyle photography across categories
- Product usage and installation video
The outcome
What it added up to
What we ran
Services on this project
- AIGC merchandising
- Lifestyle imagery
- Seasonal assets
- Omnichannel content
Have a brief like this?
Tell us the category and the constraint. We will come back with sample work tailored to it, usually inside a week.