Announced details
Marketing, demand forecasting, customer data platforms, data analytics, people management, and management decision-making
Expected time frames: 2–4 weeks for the current-state assessment, issue inventory, and co-creation of AI use cases; 1–3 months for the design, development, and implementation of priority themes; and 3 months or more for operation, the PDCA cycle, and in-house adoption.
Providing hands-on support for data utilization since 2018; currently has approximately 170 data specialists (track record and capacity for existing support services)
Approximately 170 data specialists (current)
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Information-technology Promotion Agency, Japan (IPA), “DX Trends 2026”; IPA, “Digital Skill Standards ver.2.0”
| Item | Details |
|---|---|
| Names of Products / Services Covered | AI Ready Data Management On-Site Support Service; AI service portfolio “Yarikiri AX” |
| Launch date | 18 August 2026 (launch date; actual) |
| Applicable area | Marketing, demand forecasting, customer data platforms, data analytics, people management, and management decision-making |
| Location scale | Approximately 170 data specialists (current) |
| Quantitative Effects | Expected time frames: 2–4 weeks for the current-state assessment, issue inventory, and co-creation of AI use cases; 1–3 months for the design, development, and implementation of priority themes; and 3 months or more for operation, the PDCA cycle, and in-house adoption. |
| Usage history | Providing hands-on support for data utilization since 2018; currently has approximately 170 data specialists (track record and capacity for existing support services) |
| Source | Information-technology Promotion Agency, Japan (IPA), “DX Trends 2026”; IPA, “Digital Skill Standards ver.2.0” |
Items this document does not state (11)
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.Although AI adoption by companies is progressing, メンバーズ has received inquiries about issues such as low AI quality and response accuracy, AI not being used because it does not fit operational needs, uncertainty about how to establish systems for company-wide use, and AI adoption not translating into business performance. The service is intended to resolve concerns about AI outputs and support the creation of business results.