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Building an AI-Powered Freight Ecosystem for Smarter Logistics

A freight truck on a highway at sunset

Industry

Logistics

About the Client

The client is a freight brokerage and logistics company managing shipments across auto transport, heavy equipment, containers, mobile homes, and specialized freight. As shipment volume grew, manual workflows and disconnected tools started slowing the business down.

Challenge

The company's off-the-shelf systems couldn't keep up with operational complexity. Teams were handling freight requests manually, toggling between siloed tools, and working without centralized visibility, all of which created bottlenecks at scale.

Key objectives included:

  • Reduce manual overhead across day-to-day operations
  • Speed up quote turnaround and customer response times
  • Centralize dispatch, finance, CRM, and reporting in one place
  • Eliminate friction from disconnected systems
  • Build a platform flexible enough to support multiple freight categories as the business evolves

The Solution

Sigma Solve built a custom logistics technology ecosystem designed around how the client actually operates, not generic software they'd have to work around.

Key initiatives included:

  • Custom Transportation Management System (TMS)
  • Automated freight intake and quote generation
  • AI-driven email processing and response automation
  • Logistics-focused CRM for the sales team
  • Centralized analytics via Snowflake, including natural language reporting
  • Integrations with DAT, Central Dispatch, QuickBooks, EDI, RingCentral, and ZoomInfo

Outcome

The platform now supports thousands of freight loads and hundreds of operational communications every month. Teams moved away from manual, disconnected workflows to a unified system with real-time visibility across operations, finance, and sales, giving the client infrastructure to grow without adding operational drag.