CADDY Launches AI Learning Platform “UMU” for Sales

UMU Technology Japan Co., Ltd., which operates UMU, an AI-powered learning platform that supports performance improvement, is pleased to announce that Caddy Co., Ltd. has adopted UMU as its company-wide sales enablement platform.

With this implementation, CADDY will strengthen its sales capabilities to support business expansion through practical training utilizing UMU’s AI functions. By building a data-driven human resource development system, the company aims to accelerate digital transformation in the manufacturing industry on a global scale.

Japan’s core manufacturing industry is being called upon to respond more quickly and flexibly than ever before to the restructuring of supply chains, decarbonization efforts, and changes in tariff policies in various countries.

- Advertisement -

Also Read: Japan Finds byGMO Focuses on Global E-commerce

In response to these major challenges, CADDY’s mission is to “unleash the potential of the manufacturing industry,” and it is driving the transformation of the manufacturing industry by dramatically increasing the speed of communication between the digital and physical worlds, centered on its “Manufacturing AI Data Platform,” which capitalizes past experience, knowledge, and data. CADDY‘s services have been highly acclaimed as a solution that directly addresses management challenges such as improving productivity and reducing costs, and the number of companies adopting its services and the size of their organizations are expanding at an accelerating pace around the world.

As a result, further strengthening sales capabilities, which require a deep understanding of the manufacturing industry and a high level of expertise, became an urgent issue. In response to the rapidly increasing number of sales personnel, there was a need to build a human resources development system that would quickly standardize high-level skills, leading to the introduction of UMU, an AI-powered learning platform that uses AI to support practical role-playing practice and visualize individual learning effects with data.

SOURCE: PRTimes