Gemini 1.5 Pro
Google DeepMind · Gemini 1.5 Pro · 有条件适配
人工参与：知识管理员维护资料与权限，关键答案由业务人员复核。该关联表示公开案例中观察到的使用，不代表通用推荐或独立效果评估。来源：7-Eleven Vietnam: Easing IT workloads with a customized, AI-powered chatbot ↗基于企业文档、制度和知识库的检索增强问答。
年鉴当前收录 1 个有公开使用证据的模型、1 个企业案例和 2 项数值指标。
这些关联表示公开案例中的实际使用或条件性适配，不是无条件推荐；人工参与要求为：知识管理员维护资料与权限，关键答案由业务人员复核。
ROI 只有在投入、持续成本、收益、周期和计算方法同时公开时才展示；当前缺项不会由年鉴自行估算。
依次确认工作流与人工边界、来源支持的模型关系，再审视企业案例和指标；这不是模型推荐、上线批准或 ROI 承诺。
Google DeepMind · Gemini 1.5 Pro · 有条件适配
人工参与：知识管理员维护资料与权限，关键答案由业务人员复核。该关联表示公开案例中观察到的使用，不代表通用推荐或独立效果评估。来源：7-Eleven Vietnam: Easing IT workloads with a customized, AI-powered chatbot ↗业务场景：企业知识库问答
Google Cloud's public case names Gemini 1.5 Pro in 7-Eleven Vietnam's internal IT chatbot, built with Vertex AI Agent Builder and Dialogflow CX. The chatbot supports employees across 140 stores, resolves printer and other IT questions with structured flows and documentation, and the case reports 50% less time spent fixing IT issues. The team completed proof-of-concept and testing before production.
ROI：公开投入、持续成本、收益或测量周期不足，未计算。
边界：Vendor-authored Google Cloud case and partner-supported implementation; the 50% time reduction is not isolated from Agent Builder, Dialogflow CX, conversation design, documentation and human escalation. The page does not publish a dated API model ID, issue sample, exact baseline, cost, quality/error rate, measurement period or independent validation.