Making Sense of Huge Data Sets
LC Waikiki had implemented and tested recommendation engines from multiple blue-chip vendors but the results were not satisfactory. Furthermore, the recommendations were solely based on a “people who bought this also bought this” strategy, rather than a truly personal approach towards its customers.
Lcwaikiki.com, the company’s top-performing sales channel, generates an enormous volume of visitor traffic which, combined with a huge wealth of product inventory information, translates into very large and complex data sets to traverse.
LC Waikiki wasn’t content with the testing methods used to measure the performance of recommendations, as they were not able to deliver clear results.