/answers/how-to-run-win-loss-analysis-with-ai/index.md · 42 lines
---
title: "How to run win-loss analysis with AI"
description: "Start with closed deals from the last two quarters and agree the reasons you want to track, such as price, timing, missing features, competitor, relationship or no decision. AI reads the CRM notes, emails and call summaries for each deal, suggests the main and secondary reasons with the quotes that support them, and groups the results by segment, deal size and competitor. Sales leaders review a sample of the tagging against what they know happened, interview a few buyers directly to check the patterns, and turn the confirmed findings into changes to messaging, qualification or the product roadmap."
url: https://lidvizion.ai/answers/how-to-run-win-loss-analysis-with-ai/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a sales team use AI to learn why deals are won or lost from CRM notes, emails and call summaries?
Start with closed deals from the last two quarters and agree the reasons you want to track, such as price, timing, missing features, competitor, relationship or no decision. AI reads the CRM notes, emails and call summaries for each deal, suggests the main and secondary reasons with the quotes that support them, and groups the results by segment, deal size and competitor. Sales leaders review a sample of the tagging against what they know happened, interview a few buyers directly to check the patterns, and turn the confirmed findings into changes to messaging, qualification or the product roadmap.
## What this means in practice
- Start with recent closed deals and agree the reasons to track.
- Suggest main and secondary reasons with supporting quotes.
- Group results by segment, deal size and competitor.
- Check a sample against what sales leaders know and interview a few buyers.
- Turn confirmed findings into changes to messaging, qualification or roadmap.
## How Lid Vizion approaches it
We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.
## More on Automation & custom AI
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- [How can a retailer, distributor or service business use AI to keep track of competitor prices and offers without checking websites by hand?](https://lidvizion.ai/answers/how-to-monitor-competitor-prices-with-ai/)
- [How can a finance, compliance or operations team use AI to gather and organize evidence for an audit without a last-minute scramble?](https://lidvizion.ai/answers/how-to-prepare-audit-evidence-with-ai/)
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