Archive for March, 2022

Customer decision tree is a powerful tool for retailers. It allows them to better understand customer behaviour and optimize the shopping experience. Machine learning can inform the proccess with striking new capacities, but there is also a trap. Past data must be complemented with creative insights.
By combining machine learning with creative input, retailers can reach new levels of assortment optimizations, store layouts innovation and overall customer satisfaction.