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.


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%.