Announced details
Price revisions for consumer goods manufacturers, demand forecasting, competitor price analysis, brand-switching analysis, internal decision-making and price negotiations with retailers
Forecasting sales trends following price increases of 5%, for example; price setting to maximize gross profit; and forecasting customer outflows to competing products
True Data will use SAS’s forecasting system and AI technology to jointly develop and provide the service. Capital and personnel relationships: Not disclosed.
The Japanese subsidiary of SAS, which supports decision-making through data, analytics and AI. Location, capital and year of establishment: Not disclosed.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Gartner (stating that SAS was recognized as a leader in the Decision Intelligence field)
| Item | Details |
|---|---|
| Names of Products / Services Covered | Price simulation service for the Japanese market, SAS® Viya® |
| Counterparty | SAS Institute Japan Inc. |
| Counterparty overview | The Japanese subsidiary of SAS, which supports decision-making through data, analytics and AI. Location, capital and year of establishment: Not disclosed. |
| Relationship with the Company | True Data will use SAS’s forecasting system and AI technology to jointly develop and provide the service. Capital and personnel relationships: Not disclosed. |
| Launch date | Scheduled to launch on 3 July 2026 (Friday) |
| Applicable area | Price revisions for consumer goods manufacturers, demand forecasting, competitor price analysis, brand-switching analysis, internal decision-making and price negotiations with retailers |
| Quantitative Effects | Forecasting sales trends following price increases of 5%, for example; price setting to maximize gross profit; and forecasting customer outflows to competing products |
| Source | Gartner (stating that SAS was recognized as a leader in the Decision Intelligence field) |
Items this document does not state (10)
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.As raw material and logistics costs continue to rise and consumers become more focused on saving money, consumer goods manufacturers are finding it more difficult to assess the impact of price revisions. True Data will combine its purchase data with SAS’s predictive analytics technology to support profit generation and reduce the risks associated with price revisions.