Increasing Order Value through Personalised Bundle Recommendations

Our client wanted to recommend personalised product bundles to its e-commerce customers in order to increase Average Order Value (AOV). The Datatonic team implemented a deep recommender system which is capable of finding the best products to serve to users when they buy a high-value product. Predictions were based on historical browsing behaviour & transactional data both for new and returning users.

Our Impact

Fully automated and serverless pipeline

Batch recommendations served in real-time to enable customization of live browsing sessions

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