The best personalisation technology available

ClerkCore vs Collaborative Filtering

Collaborative filtering is extremely demanding in terms of data; meaning that in order to make accurate predictions, products often need to be sold by the hundreds. This is not always feasible for small to medium sized retailers. Collaborative filtering is therefore only a moderate help, as decent recommendations are generally limited only to the best-selling products, while recommendations based on the remainder of the catalogue are only mediocre.

When the most efficient Collaborative Filtering technologies were compared to Clerk.io, our ClerkCore performed an impressive 148% better on conversions - all while needing substantially less customer and product data.

ClerkCore vs Neural Networks

Artificial Neural Network is a machine-learning approach which allows computerised networks to learn by experience, by processing patterns in a similar manner to a human brain. Despite being an improvement upon Collaborative Filtering, Neural Networks are extremely complex to operate; and still require vast amounts of data, which results in inadequate recommendations for new products or campaigns.

Compared to Neural Networks, ClerkCore can perform the same tasks with only 10% of the data while also performing 57% better - meaning more sales for your company.