About the client
A quick service global café chain operating out of airports, malls, and retail stores in US.
40% of the café transactions were single item tickets i.e., mainly coffee. A customer wanted to drive revenue by influencing the buyer behavior and increase the number of items bought per buyer.
Innover helped the customer by applying machine learning-based solution on their point of sale data. Our market basket analysis enabled them to understand product affinities and purchase behavior to identify the right food combinations for the buyer. Based on the result, store reps were trained to ask buyers to purchase these combos at a special price proactively. This resulted in a successful marketing campaign with increased revenue for the customer.
Increase in single item to multiple item conversions
Increase in customer bottom-line