Construction materials and logistics · Querétaro, Mexico

Applied AI for construction materials and logistics

An AI operation that captured after-hours demand, extended customer-service capacity, and optimized delivery routing.

Problem
Leads were missed outside business hours, customer-service capacity was insufficient, and delivery routes were inefficient.
My responsibility
I set the architecture, led the team, oversaw implementation, and contributed hands-on throughout delivery.

Implementation
Zoho · Dify · Langfuse · PostgreSQL · Google services · WhatsApp · LLM providers
Scale
- 10 internal users
- ~2,500–5,000 external users

Result
- Avoided hiring approximately three to four additional people
- Sales increased by approximately 20%
- Route costs decreased by approximately 30%
Lesson
After-hours demand is often the cheapest growth available. Capturing it needed integration and routing discipline, not additional headcount.
Client described anonymously under NDA.
Related writing
- Why Enterprise AI Pilots Fail Before Production
- From AI Use Case to Measurable Business Value

Problem