Data science has a wide variety of uses.

B2B product recommendation

Deliver differentiate food product ordering experience to your customers with AI-you can provide a customized ordering service as well as drive purchases.

With AI-based clustering, the latent characteristics of B2B customers can be identified, and flexible food material recommendations can be made using AI-based recommendation algorithms.

Customized outdoor advertising

AI recommends optimized advertisements and helps increase the effectiveness of your advertising campaign.
AI recommends optimized advertisements for both advertisers and customers based on objective data such as gender, age, and foot traffic.

Personalized recommendation service for customers

It is possible to increase the number of customers who visit the product detail page by providing the optimal recommendation solution for each step up to the customer's final purchase, which can increase the conversion rate across all categories and facilitate cross selling and upselling, contributing to overall sales growth.

Recipick, food and recipe recommendation engine

Using deep learning utilizing specialized food data, recipes based on customer preferences are provided.
By learning customer profiles, food preferences, recently used services, and ingredients in the refrigerator, AI suggests dishes and recipes optimized for the moment.

Optimization of cart movement

We optimize the movement of carts for product picking in the logistics warehouse for fast shipping of shopping mall products.
The order and work history of each cart and movement mapping data are linked with the smart cart display to facilitate quick product picking.