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What generative AI use cases are you seeing getting the most customer traction?

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3 Answers
  1. Anushka Anand
    Anushka Anand

    Salesforce Director of Product Management, Tableau Next • 2mo

    The "ask me anything" type of agent is becoming a baseline expectation across various workflows. But the use cases actually getting traction aren't standalone chatbots — they're contextual, in the flow of work. At Salesloft, sellers were asking agents everything from call prep guidance to "what does my pipeline data say about where I should focus." In my current role, business users want to ask follow-up questions right from the dashboard they're already looking at — no context switching, no pin ...Read More

    584 Views
  2. Mona Salvi
    Mona Salvi

    Capital One Director, Product • 5mo

    It really depends on the problem you are trying to solve. Some examples below. However across all domains, traction generally comes from: Augmenting human expertise, Automating repetitive work, and Delivering actionable, personalized insights to users so that users can time back to do more important things in their day. CRM / Marketing: The biggest traction is in personalized content generation (emails, social posts, landing pages), sales enablement (drafting follow-ups, summaries, proposals), a ...Read More

    383 Views
  3. Deepak Mukunthu
    Deepak Mukunthu

    Salesforce Senior Director of Product, Agentforce AI Platform • 2y

    Generative AI has gained traction across various industries and use cases, but some applications are particularly resonating with customers due to their innovative and engaging nature. Here are top generative AI use cases that are seeing significant customer traction: Chatbots and Conversational Agents: Generative AI powers chatbots and conversational agents that can engage in natural language conversations with users. Customers use these chatbots for customer support, virtual assistants, and in ...Read More

    978 Views

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