Case Study

PREDICTIVE RECOMMENDATIONS TRANSFORM CUSTOMER ENGAGEMENT

PREDICTIVE RECOMMENDATIONS TRANSFORM CUSTOMER ENGAGEMENT

Pages 2 Pages

CHALLENGES AN ARCHAIC EMAIL INFRASTRUCTURE THAT RESTRICTED COMMUNICATION Party Delights wanted to send highly personalized communications to every customer, but their previous email supplier didn’t have the technological capabilities to segment, automate, and personalize the customer experience. TOO MUCH TO DO IN TOO LITTLE TIME With such a large product database, comprising very similar products, it was nearly impossible for the team to automate eff ective product recommendations without using an algorithm-based product recommendation engine. They were spending too much time manually analyzing top performing products, and it wasn’t paying off . FRAGMENTED DATA Due to a strain on internal resources, they needed a solution that anyone within the team could use, without needi

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