Recommendation Engine

Context:

One big retailer that prefer to remain anonymous.

Project:

We helped this anonymous retailer to develop a product recommendation engine. One of the requirement was to recommend product based on product often bought together, but to also be capable of recommend new product that are not yet available in shops. We've therefore developped a custom algorithm that support "cold start" and have many additional nice properties