DealMind Uses AI and Long-Term Memory to Guide Sales Negotiation Decisions

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A team built DealMind, an AI-powered negotiation decision-support tool, during a hackathon to help sales teams apply lessons from past deals to current ones. The agent takes in deal details such as customer, discount requested, objections, and competitor pressure, then retrieves comparable past negotiations using Hindsight as its long-term memory layer. It combines deterministic economic calculations with an LLM powered by Groq to generate actionable recommendations, while leaving the final decision to the salesperson. Completed negotiations are stored back into Hindsight with full context — including losses — so future deals can draw on richer organizational experience. The system separates structured app data in SQLite from experiential memory in Hindsight, treating past outcomes as active inputs to reasoning rather than passive records.

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Shopify acquires Tailwind CSS, then abandons React Native for Swift and Kotlin

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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