Ably Corp said on Sunday about 150 billion customer behaviour data points were accumulated on Ably last year. That is an average of 400 million a day.

Customer behaviour big data is a database that records shopping actions reflecting users' preferences, such as exposure, clicks, product favourites, market favourites, shopping carts and order counts. Ably labels behavioural data generated within the app by user ID and accumulates it in real time as a continuous dataset.

The company said user behaviour big data accumulated on Ably last year exceeded 150 billion. That is the scale of 400 million preference data points a day built up over 1 year. Data reflecting purchase intent, including product and market favourites, reviews and shopping carts, has topped a cumulative 3.5 billion so far. It added 800 million new cases last year.

Data is being accumulated across categories that show an individual's style and preferences, including fashion, the anchor category, as well as beauty and food. The company explained it is driving improvements in the accuracy of cross-category recommendation technology, beyond recommendations within fashion, such as fashion and beauty, and beauty and food.

Choi Ha-neul (최하늘), Ably's chief technology officer, said, "Big data is a core competitive strength that supports the platform's development potential, including AI capabilities and product competitiveness." He said, "We will complete a taste graph for customers worldwide that can predict preferences with just a few clicks and suggest products and services that match."