What are you Looking for?
What are you Looking for?
What are you Looking for?
Retail
Personalizing customer shopping experience
Rex - product recommendation engine
Promoting the right products to each of your individual customer
Goal
A leading fashion retail conglomorate would like to increase effectiveness of sending promotional campaigns to its customers. Customers are currently receiving offers that are not always relevant for them, resulting in low conversion. The goal of the project is to leverage historical purchasing data to create personalized offers and messages that are more relevant for customers
Insight and Action
While people may generally be familiar with Netflix’s or Amazon’s recommendation system that gives explicit preference feedback as ratings on the movies and products. In our unique case, all we know is that each customer bought certain products without knowing how much he or she likes them. With this in mind, Siametrics developed a collaborative filtering model for implicit data that is able to recommend each individual customer top products they are likely to buy based on their previous purchasing data.
Impact
1
%
increase in promotional offer conversion rate
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