Develop custom AI agents for logistics operations that automate freight management, warehouse workflows, route intelligence, and supply chain decision-making, integrated with your TMS, WMS, and ERP systems from day one.
Generic AI tools read data but cannot act on it. They fail without carrier context, system write-back access, or compliance logic built in from the start.
Generic AI carries no knowledge of your contracted lanes, carrier SLAs, or freight blackout periods. That gap produces wrong decisions at operational volume.
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Logistics agents must act on data, rerouting shipments, updating order status, and triggering carrier bookings, without a human relaying every instruction.
Supply chain exceptions are the rule, not the edge case. Generic models fail because they were not trained on your freight logic, routes, or vendor behavior.
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Customs rules, INCOTERMS, and hazmat classifications must be built in from the start. Layering compliance logic on after deployment does not hold at scale.
Select optimal carriers, lanes, and modes in real time, factoring contracted rates, capacity constraints, and delivery windows drawn directly from your live TMS data.
Pull signals from sales history, seasonal patterns, and supplier lead times to generate replenishment recommendations your ERP can act on without manual intervention.
Optimize pick paths, slot assignments, and labor allocation across your WMS in response to live order volumes, dock schedules, and SKU velocity data.
3PLs manage complex carrier networks and client-specific SLAs. We build agents that handle that complexity without requiring a TMS replacement or additional dispatcher headcount.
Last-mile volumes are high, margins are thin, and SLA expectations are aggressive. Our agents handle exception triage and carrier reassignment at the speed the operation requires.
Temperature deviation, dwell time, and transit window compliance are not optional. Agents monitor these conditions and trigger corrective action before product loss occurs.
JIT production depends on supplier precision. Our agents track inbound parts, flag supplier delays, and update production schedules based on live delivery data from your ERP.
Omnichannel fulfillment means shipping from stores, DCs, and third-party nodes simultaneously. Agents coordinate inventory allocation and carrier selection across all channels in real time.
Customs classification, export controls, and trade documentation create friction at every border. We embed compliance logic into agents that run checks before goods move.
We build direct integrations with your existing logistics stack, with no middleware workarounds, no data duplication, and no manual export processes standing between your systems and the agents.
Request a QuoteOur agents connect directly with transportation management systems to read lane rates, update shipment records, trigger carrier bookings, and support dispatch workflows through secure API connections.
Warehouse management system integrations give agents real-time access to inventory positions, pick statuses, dock door assignments, receiving updates, and outbound fulfillment activity inside your warehouse operations.
ERP integrations let agents pull demand signals, update purchase orders, sync fulfillment records, check inventory availability, and write back operational data without manual entry at any step.
We integrate with carrier APIs, load boards, and freight broker platforms so agents can check real-time capacity, compare spot rates, confirm bookings, and manage shipment updates within a single workflow.
GPS feeds, temperature sensors, telematics data, and engine diagnostics come into agent workflows through structured data pipelines. Fleet and cold chain agents act on this data in real time.
Integration with customs platforms and trade compliance databases lets agents classify goods, check restricted party lists, validate shipment documentation, and flag compliance gaps before shipments clear origin.
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Eight defined phases from workflow discovery to production monitoring, each with clear deliverables and client sign-off before the next phase begins.
Map every freight and warehouse process the agent will touch. Document business rules, exception types, and the decision logic your operations team currently handles manually.
Assess the quality, structure, and accessibility of data across your TMS, WMS, and ERP. Identify gaps that would degrade agent accuracy before development starts.
Select the agent architecture, orchestration framework, and LLM based on workflow complexity, latency requirements, data sensitivity, and your logistics stack's integration surface.
Outcomes:
Every agent system is built for your specific workflows, freight lanes, carrier relationships, and exception logic. We do not configure a product; we build the system from scratch.
We carry active integration experience with SAP TM, Oracle TMS, Manhattan WMS, Blue Yonder, and the ERP platforms your logistics operations depend on daily at enterprise scale.
Complex logistics workflows require multiple coordinated agents. We design orchestration layers that sequence specialist agents correctly so freight routing and compliance decisions never conflict.
We build for production operation, not proof-of-concept demos. Every agent goes through digital twin simulation, pilot deployment, and acceptance testing before handling live freight decisions.
You own every model, integration, and agent workflow we build. No licensing dependency on Folio3, no vendor lock-in, and no ongoing usage fees tied to our continued involvement.
Strategy, architecture, integration, testing, deployment, and post-launch monitoring; we cover the full development lifecycle rather than handing off a prototype to your internal team.
Turn your logistics stack into an AI agent-driven operation that detects issues and takes action across your TMS, WMS, and ERP.
Classify products, prepare documentation packages, and flag compliance gaps before shipments reach the border, cutting clearance delays and manual document review cycles.
Coordinate delivery windows, carrier handoffs, and customer notifications across your last-mile network. Reassign failed deliveries without waiting for dispatcher involvement.
Monitor supplier performance, financial signals, and geopolitical risk factors. Trigger escalation workflows before a supply disruption reaches your production schedule.
Process telematics data to predict component failures, schedule preventive maintenance, and reduce unplanned downtime across owned and contracted fleet assets.
Detect shipment delays, route deviations, and SLA breaches in real time. Reroute, notify, and log every action without waiting for a dispatcher to spot the problem.
Match carrier invoices against contracted rates, identify billing discrepancies, and generate dispute records, removing manual reconciliation across hundreds of monthly invoices.
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Build direct API connections to your TMS, WMS, and ERP. Validate bidirectional data flow, agents read current state, execute actions, and write results back into your systems.
Run agents against a digital twin of your logistics environment using historical freight data. Validate routing accuracy, exception handling logic, and edge case coverage before go-live.
Deploy to a controlled subset of freight lanes or warehouse zones with human oversight active. Capture real operational feedback and tune agent behavior based on what you observe.
Scale from pilot to full operational coverage with a phased rollout. Each stage has acceptance criteria that must be met before agents take on broader decision autonomy.
Track agent accuracy, decision confidence, and exception rates post-deployment. Retrain as carrier networks, regulations, and your own operational processes evolve over time.
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
