Construction materials and logisticsQuerétaro, MexicoNDA
Applied AI for construction materials and logistics
An AI operation that captured after-hours demand, extended customer-service capacity, and optimized delivery routing.
Business outcome
- • Avoided hiring approximately three to four additional people
- • Sales increased approximately 20%
- • Route costs decreased approximately 30%
My responsibility
Architecture, team leadership, implementation oversight, and hands-on contribution throughout delivery.
Business challenge
Leads were missed outside business hours, customer-service capacity was insufficient, and delivery routes were inefficient.
Architecture and technologies
- Zoho
- Dify
- Langfuse
- PostgreSQL
- Google services
- LLM providers
Scale
- • 10 internal users
- • ~2,500–5,000 external users
Key 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.