Recommender systems and collaborative filtering
 

I know what my customers have bought already. How can I discover what else they are likely to buy? Many organisations record purchasing histories and customer preferences. These records can be used to predict which of your products or services a customer is likely to need or enjoy that they have not yet purchased. 

Given that information, you can make an individualized recommendation to each customer, and boost sales. 

We can advise you on how to develop a recommender system, and the best statistical algorithms for making recommendations. From a sample of your existing purchase or preference data, we can identify the best algorithms for you to use, or develop recommendations for indivdiual customers.