Retail

Problem:

A major Japanese furniture chain wanted to improve online sales by better recommending pieces for customers, but it lacked profound historical data due to furniture not being frequently purchased.

Result:

We trained machines to use images of similar designs to make recommendations within parameters established through limited human preferences identified in a prior survey, increasing the chain’s online sales conversion rate by 35%.