⚫Machine Learning: Rewards Recommendations

InRecommendations API also empowers every merchant with the knowledge about the reward preferences of their users. Based on the assumptions made by the system regarding the preferable reward, e.g. a coffee from Starbucks, massage, or a ticket for a favorite band, the system suggests the choice which has the potential for the maximum ROI. InRecommendations analyses the rewards that were given by the loyalty systems of different merchants, aggregates the received data, and makes predictions about the future rewards.