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enterprise customer service

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Enterprise customer service on WindowsForum.com covers AI-powered solutions and Microsoft tools for contact centers. Discussions include momo's partnership with Microsoft Taiwan to deploy an LLM and RAG-based customer service system, which improved accuracy and self-service adoption. Another topic is Microsoft's Desktop Companion Application for Dynamics 365 Contact Center, designed to boost agent productivity and reliability. These threads highlight how generative AI and Microsoft platforms are transforming enterprise customer service, with a focus on practical implementations and measurable outcomes.
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    Momo Teams with Microsoft Taiwan to Launch AI Powered Customer Service with LLM and RAG

    momo’s e-commerce arm has taken a clear step into the generative‑AI era: the company announced a partnership with Microsoft Taiwan to roll out a next‑generation, Large Language Model (LLM)‑driven customer service system that went live in July and — according to company statements — already...
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    • azure openai cloud platforms e-commerce enterprise customer service momo ecommerce ai post-quantum cryptography quantum computing retrieval augmented generation
    • Replies: 1
    • Forum: Windows News
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    Microsoft DCA for Dynamics 365 Contact Center: Boosting Reliability and Agent Productivity

    In the dynamic world of customer service, speed and reliability are the cornerstones of successful contact centers. For years, organizations have strived to deliver seamless engagements in the face of mounting customer expectations, unpredictable technical hiccups, and the ever-present push...
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    • agent productivity call center technology call management ccaas cloud contact center companion apps contact center contact center resilience customer engagement customer satisfaction customer service digital experience dynamics 365 enterprise customer service it operations microsoft innovations remote work support automation voice connectivity web vs desktop apps
    • Replies: 0
    • Forum: Windows News
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