- Sustainable development goals
- Climate action
- Responsible consumption and production
- Project link
About the project
The Japan Weather Association, a privately-run meteorology company, uses weather forecasts to predict demand for products in various industries. By providing data to manufacturers, distributors, and retailers, the system allows the whole supply chain to plan ahead for the anticipated demand, and reduce waste and CO2 emissions.
More project information
The Japan Weather Association, a privately-run meteorology company, uses weather forecasts to predict demand for products in various industries. For example, its artificial intelligence system can analyze big data combining weather forecast data and point-of-sales data to predict demand for groceries, allowing retailers to order the right quantities of products and thereby avoid food loss. By providing data to manufacturers, distributors, and retailers, the system allows the whole supply chain to plan ahead for the anticipated demand, and reduce waste and CO2 emissions.
According to the Japan Weather Association (JWA), a third of all industries are directly affected by changes in weather. The eco x logi project is based on the understanding that demand for products depends heavily on the climate, such as on the consumers’ perception of the weather as hot or cold. Based on sales data provided by Intage, JWA has determined that the influence of sudden changes in weather is a key factor in determining the future demand of various products. Through the use of artificial intelligence, JWA is combining sales data with climate data to more accurately understand consumption behavior, and is currently researching which categories of products are particularly affected by changes in weather. Through such analysis, they are hoping to determine relevant industries that would need such data. As of now, JWA has found that the tofu and beverage industries are especially impacted by weather changes.
In addition, in February 2018, JWA announced a collaboration with NEC, which has developed its own supply and demand prediction platform, in hopes that the collaboration will likely lead to a more sophisticated prediction system that utilizes their weather information and takes a greater variety of data into account. It is not yet clear whether both systems will continue to exist side by side or whether JWA’s service will eventually be superseded by NEC’s platform.
By helping to predict demand especially for perishable products, the project supports the SDG of Responsible Consumption and Production, allowing the supply chain to become more efficient and avoid waste. By helping to avoid overproduction, the project can also help to cut CO2 emissions, contributing to the SDG of Climate Action.