Logistics AI Solutions — Arc Collective

Use Cases

Pain Point: 300+ daily customer emails — booking confirmations, delay notices, destination changes — all processed manually. 20 staff-hours of TMS data entry every day.
Solution: AI reads, parses, and classifies each email. Routine updates auto-applied to TMS. Anomalies flagged with full context for human review.
Result: 6 hours of daily data entry → under 40 minutes. Error rate from 3-5% → <0.5%. Response lag from 4-6 hours → near real-time.

Pain Point: Routing decisions across 50+ countries rely on coordinator experience. Suboptimal routes, missed consolidation opportunities, carrier allocation imbalances.
Solution: AI engine computes optimal routing by analyzing historical lane performance, carrier reliability, transit times, and cost structures across the network.
Result: Data-driven routing replaces gut-feel decisions. Better carrier utilization, improved consolidation, reduced transit variability.

Pain Point: Port congestion, vessel schedule changes, and customs delays surface too late — after they've already impacted shipments downstream.
Solution: Continuous monitoring of carrier schedules, port conditions, and shipment milestones. AI detects deviations and triggers alerts before impact cascades.
Result: Proactive exception management instead of reactive firefighting. Earlier intervention on at-risk shipments, fewer missed cut-offs.

How It Works

Parse

AI reads every incoming email — subject, body, attachments — and extracts structured shipment data.

Match

Extracted data matched against TMS records with fuzzy matching for PO numbers, BOLs, and booking refs.

Decide

Each change classified: routine (auto-apply), anomaly (human review), or informational (no action).

Act

TMS updated automatically with full audit trail. Exceptions routed to the right coordinator with context.