Introduction to the "AI 0 Project"

Eliminate 3.24 million tons of business-related food waste with AI! We are also starting to recruit joint partners!

As an approach to food loss, demand forecasting and appropriate price forecasting have been mainstream. However, we now offer a variety of templates for approaches to reducing food loss from different angles, including "demand forecasting" to address overproduction, "appropriate price forecasting" to prevent unsold inventory, "combination optimization" to avoid excess raw materials, and "anomaly detection" in production lines to prevent losses in the production process. Through this project, we aim to solve issues in Japan's food industry and contribute to the achievement of the SDGs in collaboration with businesses in the food manufacturing, wholesale, retail, and dining industries. It is possible to exchange information among partner companies, including the introduction of cases that have directly led to the reduction of food loss. 【Features】 ■ Reducing food loss helps cut costs associated with food waste. ■ Branding effects are expected by fulfilling corporate social responsibility (CSR). ■ A network for information exchange is expanding. *For more details, please refer to the related links or feel free to contact us.

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