Search and summarize dispersed SOPs and store manuals. Examples of AI utilization to support new employee training and on-site responses.
This is an example published on the official website addressing the issue of dispersed operational procedures and on-site knowledge in store management, which relies on the experience of store managers and staff. It involves searching and summarizing SOPs and operational manuals using RAG. Through context-based Q&A, it supports the onboarding of new staff and the standardization of store operations. If you would like detailed materials, please contact us via the inquiry form with the message "Request for materials on searching and utilizing store manuals," and we will send you a PDF from the person in charge.
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basic information
Access to Knowledge: SOPs, operational manuals, and internal documents are included as searchable targets. On-site Training: Enables reference to necessary procedures, supporting a reduction in reliance on person-dependent OJT. The amount of reduction is unconfirmed. Connection with Business Data: Automatic referencing of sales and business data, introducing AI integration with sales and business management systems. Scope of Implementation: Cloud/on-premises compatible. Phase 1 is specified for store groups and departmental units.
Price range
Delivery Time
※Published value: Official site states: PoC for 1 month, Phase 1 implementation for 2 months. This is not interpreted as the period for a simultaneous rollout to all stores.
Applications/Examples of results
This is a document that organizes examples published on the HBLAB official website. The specific names of the implementation sites, operational and acceptance scope, and quantitative KPIs are not disclosed. The total publication period will not be used as the standard delivery time for new projects.
Company information
HBLAB Japan Co., Ltd. is the Japanese subsidiary of HBLAB, which has a development base in Vietnam, providing IT offshore development, DX consulting, core system development (such as intra-mart), and AI system integration for the Japanese market.
