Garza International.

The Situation

Garza's estimators spent 6+ hours per bid manually pulling material costs from three supplier catalogs, labor rates from spreadsheets, and historical win/loss data from memory. Each quote required cross-referencing multiple sources with no system linking them together. A single error could cost the company thousands. The team was maxed out at 8 bids per week, and every bid over that was a lost opportunity.

The Constraint

The owner knew the process was broken, but every solution he found required buying expensive enterprise construction software or hiring a full-time software developer. Neither made sense for a mid-size Houston firm. The problem was clear. The fix was not.

What We Built

A custom AI quoting engine connects directly to supplier APIs for real-time material pricing, pulls historical bid data for win/loss analysis, and generates formatted proposal documents in under two minutes. The system flags high-risk bids for estimator review and learns from every quote submitted. It lives inside the tools Garza's team already uses, so there is no new software to learn.

The Outcome

Quoting is now 60% faster, the team saves four hours on every bid, and weekly capacity doubled from 8 to 16. Error rates dropped by 85%. The financial impact is captured in the snapshot below.

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

What They Do Now

Carlos spends those four hours per bid on client relationships and project strategy instead of data entry. The team submits more bids, wins more work, and the quoting system runs without anyone touching a spreadsheet.

Your quoting process could be faster. Start with a $300 Discovery Session to find out where.