Online Recommendation Engine

Next generation cross-selling for improved revenues and margins

35% of Amazon’s revenue is driven by recommendation engines embedded in the store. A good recommendation engine will increase sales through cross-selling and improve profits by recommending higher-margin products.

Business Driver

Customers who receive relevant recommendations have a better user experience, and end up with higher value baskets. Moreover, recommendation systems can push higher-rating or higher-margin products.

Data Needed
  • Search and purchase history (record of purchased items, item/user views information, social media data)
  • Surveys (asking users to search, rank and rate items)

An integrated program that offers product suggestions based on clients’ past purchases and similar or complementary products.

Methods Used
  • Neighbourhood models (k-NN, etc.)
  • Matrix Factorization
  • Artificial Neural Network

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InsightOut Analytics

InsightOut Analytics is a consulting firm for Data Science, Machine Learning & AI.

We develop complete business solutions which enable our clients to stay competitive in their industries by taking data-driven decisions.

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