Personalized Recommendations2020-11-11T06:50:25+00:00

8% profitability boost through personalized recommendation engine

Used Reinforcement Learning techniques to create personalized strategies that significantly boosted the client’s profitability and improved their average sales per consultant by over 24% as compared to their earlier system

Business Challenges

The existing system had a fixed set of business rules to determine the display rank of offers and didn’t have ways to test and understand the performance of personalization strategies.

Sigmoid’s Solution

Built an end-to-end system for generating personalized recommendations (for digital subscribers) based on customers’ historical purchase history.

Business Impact

Implemented over 100 strategies across 8 counties using multi-armed bandit (MAB) based solution. The resulting impacts were 8% improvement in profitabilty and 24% improvement in average sales per consultant.

For detailed understanding and solution, please download the case study here

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