Construction

Garza International.

A Houston-based construction firm losing bids because manual quoting took 6+ hours per response. We built a custom AI quoting engine that cut turnaround by 60%.

Engagement
3 weeks
60%
Faster turnaround
Owner
Full code
4 hrs
Saved per bid
8
Bids per week now
85%
Fewer errors

The Problem

Garza International's estimators spent hours manually pulling material costs, labor rates, and historical bid data for each new construction quote. The process was error-prone, slow, and couldn't scale as the business grew.

The Difference

BeforeManual Process
Time Per Quote
6+ hours
  • Estimator manually pulls material costs from 3 supplier catalogs
  • Historical bid data scattered across spreadsheets
  • Proposal formatting takes 45 minutes per bid
  • Maximum 8 bids per week before burnout
AfterAI-Powered
Time Per Quote
2.5 hours
  • Real-time material pricing from supplier API integration
  • Win/loss analysis auto-applied to every quote
  • Formatted proposal generated in under 2 minutes
  • Capacity increased to 16+ bids per week

What We Built

A custom AI quoting engine that:

  • Pulls real-time material pricing from supplier APIs
  • Analyzes historical bid win/loss data for optimal pricing
  • Auto-generates formatted proposal documents
  • Flags high-risk bids for estimator review

ROI Snapshot — The Billable Bleed

Before — Annual Bleed
8 bids/wk · 6 hrs/bid · $50/hr
$124,800
Lost to slow manual quoting
After — Year 1 Recovery
60% faster · same volume
+$74,880
Estimator time recovered
AI System Investment$5,000–8,000
Net Year 1 Gain: ~$66,880–69,880

"SanLuis AI didn't just build software — they solved the single biggest problem in our sales process. We're bidding faster and winning more."

— Carlos Garza, Director of Operations

Your quoting process could be 60% faster.

Start with a $300 Discovery Session. 60 minutes. Clear roadmap.

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