The challenge is to improve the upsell/cross-sell conversion rates from historical transaction patterns. Traditional methods require significant hand-crafted feature engineering.
Target customers should be identified accurately for cross-selling a product and increase the sales conversion ratio.
The challenge here is to use historical transactional data and patterns to understand the customer’s propensity to buy a new product. The traditional approach involved segmenting customers based on demographics.