Announced details
Reduction in losses of daily-delivery products: 15%
Reduction in prepared-food losses: 5.4%
As of December 2025, implemented by approximately 120 companies at approximately 6,700 stores
The company covered by the research report and the research institution. Capital, personnel, and business relationships were not disclosed.
The research institution that published the report. Other details, including its location, representative, capital, and year of establishment, were not disclosed.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Deloitte Tohmatsu MIC Research Institute Co., Ltd., “Current Status and Outlook of the AI-Powered Supply Chain Planning Solutions Market: From Demand Forecasting to Optimization—AI Integration Redefines SCM Planning,” Fiscal 2025 Edition
| Item | Details |
|---|---|
| Names of Products / Services Covered | sinops series, sinops-CLOUD |
| Counterparty | Deloitte Tohmatsu MIC Research Institute Co., Ltd. |
| Counterparty overview | The research institution that published the report. Other details, including its location, representative, capital, and year of establishment, were not disclosed. |
| Relationship with the Company | The company covered by the research report and the research institution. Capital, personnel, and business relationships were not disclosed. |
| Launch date | 1996 (launch of the sinops series; track record) |
| Applicable area | Retail, Distribution Business, Manufacturing, Wholesale trade, The entire supply chain |
| Quantitative Effects | Reduction in losses of daily-delivery products: 15%, Reduction in prepared-food losses: 5.4% |
| Usage history | As of December 2025, implemented by approximately 120 companies at approximately 6,700 stores |
| Source | Deloitte Tohmatsu MIC Research Institute Co., Ltd., “Current Status and Outlook of the AI-Powered Supply Chain Planning Solutions Market: From Demand Forecasting to Optimization—AI Integration Redefines SCM Planning,” Fiscal 2025 Edition |
Items this document does not state (9)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Demand for AI-powered demand forecasting is expanding, particularly in the distribution industry, against a backdrop of severe labor shortages and soaring costs. The report also cites the company's focus on delivering implementation benefits, its support structure throughout the implementation process, and the forecasting accuracy it provides for categories with short shelf lives as reasons for its market support.