JWA provides the Product Demand Forecasting Service that predicts the quantity of goods to be needed in the future by analyzing highly accurate weather data and big data, with AI technologies.
“Due to the lingering summer heat, the product supply could not keep up with demand, and we missed sales opportunities.”
“Some products have good sales when the temperature changes, but when is that timing?”
We are sure that these topics are often discussed at meetings of many companies.
Weather and business are connected in many cases.
The Demand Forecasting Service predicts the quantity of goods to be needed in the future by analyzing weather data and big data, such as point of sale – POS data with the latest technologies including AI.
This service enables customers to make more rational and efficient decisions regarding manufacturing and sales plans, as well as shipment volume.
This service also makes it possible to improve the efficiency of a supply chain by sharing and using common forecast information across an industry and divisions within a company. JWA positions this activity as the eco + logi* project and is also working to realize a sustainable society.
*logi stands for logistics.
JWA offers consultations with a focus on the following services:
- Visualizing the correlation between weather conditions and product sales
Investigate and identify the relationship between weather conditions and product sales. This will show you which products are affected by the weather.
- Creating a demand forecast model by products
Collect and organize the data necessary for analysis and create an analysis and a demand forecast model.
- Provision of information
Distribute information based on the demand forecast model.
Used to optimize manufacturing planning, placement of personnel, shipment volume, sales planning, and allocations to each region.
- Distribution and retail
Used to forecast the number of customers coming to a store and to improve the store operations.
Used to examine the possibility of modal shifts based on product demand forecasting.
For more detailed information, please visit the special website for eco + logi: