This 2-page brief presents Agentic Data Management (ADAM) for Sales as a GenAI and analytics-driven approach to reduce sales inefficiency caused by fragmented customer data, manual logging, and limited real-time guidance. It proposes automation and “generative insights” across the deal lifecycle, including conversation intelligence from call transcripts, automated call transcription and summaries with task and next-action recommendations, generative account research, forecasting guidance based on historical trends, sales summaries that surface opportunities, and pattern-based identification of similar deals. It also highlights AI-enabled pitch generation, tailored product and order recommendations, pricing retrieval for negotiation support, in-meeting real-time assist, and opportunity prio

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