Deploy autonomous logistics ecosystems with agentic AI

The autonomous Logistics cost auditor

• The Problem: Freight invoice discrepancies account for 3% to 7% of total shipping spend. Manual auditing is slow and inconsistent.
• The Agentic Solution: An agent that "lives" between your TMS and Accounting software. It ingests invoices (OCR), cross-references them against multi-layered contracts, fuel surcharges, and spot-market benchmarks in real-time.
• Autonomous Action: The agent doesn't just flag errors; it generates dispute claims and sends them to carriers for recovery, requiring only a final human "click" for approval.
• ROI: Immediate recovery of overcharges and 100% audit coverage without increasing headcount.

The self healing supply chain watchtower

• The Problem: Supply chains are reactive. By the time a port strike or weather event is reported, your cargo is already stuck.
• The Agentic Solution: A "Predictive Orchestrator" agent that monitors global data streams (AIS ship tracking, news feeds, weather APIs, and social sentiment).
• Autonomous Action: If the agent predicts a 70% probability of a 48-hour delay at a specific hub, it proactively secures capacity on an alternative route or suggests a warehouse transfer before the disruption occurs.
• ROI: Dramatic reduction in "Late-to-Customer" (LTC) penalties and lower emergency "spot-buy" freight costs.

The Multi-Agent Last-Mile Dispatcher supply chain watchtower

• The Problem: Last-mile delivery is a "game of Tetris" that changes every minute due to traffic, driver cancellations, and customer availability.
• The Agentic Solution: A swarm of micro-agents representing individual drivers and delivery zones that "negotiate" with each other.
• Autonomous Action: When a driver goes offline, the agentic swarm re-calculates and re-allocates the entire neighborhood's delivery sequence in seconds, pushing new manifests to drivers' phones instantly to maintain the "one-hour delivery" window.
• ROI: 15% increase in delivery density (more stops per hour) and reduced fuel consumption.

The Conversational inventory strategist

• The Problem: Warehouse managers often fly blind, relying on outdated weekly reports to make inventory decisions.
• The Agentic Solution: A Gen-AI agent linked to your WMS and ERP that understands natural language.
• Autonomous Action: A manager asks, "What happens if we double our order of SKU-405 today?" The agent runs a simulation, checks warehouse capacity, predicts storage costs, and executes the purchase order once the parameters are optimized.
• ROI: Optimized working capital and zero stock-outs on high-velocity items.

Why POCs are the core of our strategy

For the 2026-27 tech cycle, businesses don't need more dashboards; they need Autonomy.

• Low Friction: These POCs are designed to sit on top of your legacy ERP/TMS via API.
• Scalable Intelligence: Start with one agent (e.g., Cost Auditor) and expand the swarm as your digital maturity grows.
• Measurable Gain: Every POC is tied to a specific KPI—be it recovery dollars, hours saved, or reduced carbon footprint.