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OpenClaw Estimate Automation for Striping Company
Automated job estimation using historical data and AI-powered pricing for a line striping company.
Estimate speed
5x faster estimates
Tools
OpenClawGoogle Sheetsn8nGPT-4
The Client's Problem
My Approach
The Workflow Breakdown
1
OpenClaw agent with email-only channel restriction and pricing-change approval gate 2. 3-touch follow-up sequence at day 3, 7, and 14 with escalating urgency 3. Before/after photo attachment pulled from completed jobs library by service type 4. Email open and click tracking feeding back into follow-up priority scoring 5. Weekly Slack pipeline summary showing value, status, and close rate by estimate age
Results & Impact
- Estimates followed up went from ~50% (sticky note system) to 100% automatic
- Close rate on followed estimates: 34% across all estimates (was 30% on remembered ones only)
- Close rate on unfollowed estimates was 8%, now N/A since none go unfollowed
- Monthly revenue from recovered leads: $7,400 average
- Owner time on follow-up went from 0 (no time available) to 5 min/week reviewing Slack summary
- Zero lost contracts to competitors from lack of follow-up since deployment
Technical Highlights
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