Recommendation

Recommendation (matching AI)

 

Recommendation

Recommendation (matching AI)

In today's world where information is increasing too much, "how to remove unnecessary information" is important for both service providers and customers.
There is also information that "97% of users who came to the top page have left" at the largest EC mall in Japan. Therefore, the recommendation (matching) becomes important. We aim to operate better services by eliminating waste between matching objects such as people to people, people to things, and people to space.

  • I want to increase the purchase rate of customers
  • I want to make effective use of existing users
Feature
  • accuracy

    High-precision matching that utilizes data created from the launch of more than 40 matching services.

  • Versatility

    We realize matching with all kinds of products such as "people", "things", "real estate", and "hotels".

Case study
  • Improved match rate within the service

    This is an effective way to use it on EC sites and matching sites.

  • Matching real estate handled by the company with the customer list

    Deeper CRM and MA

Product
  • DE-AI

    We provide matching that eliminates waste.

    See in detail

Actively hiring in all positions!
Tokyo / Osaka / China

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Actively hiring in all positions!
Tokyo / Osaka / China

See Employment information