32% more conversions than the in-house build.
Wescover had already built their own recommendation system, tuned by the people who knew the catalogue best. Ours outperformed it by 32%.
What stood in the way
- Wescover sells through in-situ images: original pieces photographed in the real rooms they live in. Shoppers fall for the piece in the photograph; the site then has to offer alternatives and sets to match.
- Every piece comes from an independent creator, so alternatives can’t be read off a brand feed or a size run.
- The strongest benchmark there is: an in-house system, tuned by the people who knew the catalogue best, with an AI team to fund for as long as it ran.
What we deployed
- Relevant alternatives and sets for the in-situ marketplace, generated at catalogue scale.
- A head-to-head on live traffic against the in-house build, read in Wescover’s own analytics.
- No AI team to fund: the engine carries its own upkeep.
Results
This is the comparison we rate above all others: not a vendor bake-off, but a head-to-head with a system built in-house for that exact catalogue. Full workings shared on the call.
“Visii solved a problem no one else could: offer highly relevant product alternatives and sets at scale to our marketplace of in-situ images visitors. They boosted our conversion >32% and saved us the pain, time and cost of building an AI team. Their dedication to us made working with them a wonderful experience.”
Wescover
Wescover connects people with original art, design and craft made by independent creators, and maps each piece to the real places it lives in.