Sales teams in auto repair shops cannot accurately diagnose why deals are lost because managers rely on rep-reported summaries that miss customer signals, objection handling quality, and follow-up gaps.
Existing CRM and POS systems only capture outcome (e.g., 'declined' or 'too expensive') but do not capture the conversation context, objection handling, or follow-up actions needed to understand root cause.
Lost Deal Analyzer
An AI-powered conversation analytics platform that records, transcribes, and analyzes in-person sales conversations at auto repair shops, automatically surface reasons for lost deals by detecting objections, trust-building cues, and follow-up gaps. Managers get actionable insights per deal and aggregated trends to improve rep coaching and sales process.
- Automatic recording and transcription of in-person sales conversations via wearable microphone or phone
- AI analysis of objection handling, safety explanation quality, and trust-building language
- Automated tagging of lost deal reasons (e.g., price objection, trust issue, no follow-up)
- Dashboard showing lost deal trends by rep, customer type, or service type
- Integration with existing shop management systems (e.g., Shop-Ware, Tekmetric)
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