Retail Recommendation Engines
Our recommendation engine uses statistical methods to infer the products that should be recommended to a shopper based on their behavior, and the behavior of others like them.
It can be used to suggest products and services that the customer would have a high likelihood of purchasing. Companies can use this information with direct mail and email programs and to deliver dynamic offers on the internet. Sales teams can also use this information to more accurately recommend products and services to their customers and prospects.
One of the most common uses of recommendation engines is to make dynamic suggestions on your website based on customer behaviour. Another use it to help you understand your customer’s next likely purchase and make recommendations via the optimal marketing channel to drive the highest likelihood they will make those purchase. This can have a dramatic effect on marketing effectiveness.