Build recommendation engine for VPBank's customers

The challenge

SMEs division wanted to cross-sell products for each customers. The challenge is to identify suitable products for each customers & transfer the output to sales for deep-farming


Applied apriori algorithm on customer products holding data to develop the recommendation engine. The engine was integrated with Customer 360 and automatically updated every month. For each sale, the engine found customer patterns with the highest probabilities of purchase a given product.

Business Impact

  • Identified next best offer products for all customers for SMEs monthly
  • Increased cross selling campain 1.88X
Anh Hoang Duc
Anh Hoang Duc
Business Analytics professional


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