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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.

Business outcome

Business outcome

  • Avoided hiring approximately three to four additional people
  • Sales increased approximately 20%
  • Route costs decreased approximately 30%

Business challenge

Leads were missed outside business hours, customer-service capacity was insufficient, and delivery routes were inefficient.
My responsibility

My responsibility

Architecture, team leadership, implementation oversight, and hands-on contribution throughout delivery.

Architecture and technologies

Zoho · Dify · Langfuse · PostgreSQL · Google services · WhatsApp · LLM providers

Scale

  • 10 internal users
  • ~2,500–5,000 external users
Key lesson

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.