# The World’s First Agentic TMS Locus is an AI-powered transportation management system that helps enterprise logistics teams plan, execute, and settle autonomously with AI agents acting on real-time data—governed by the policies and guardrails defined by humans. Built for complex, real-world transportation networks, Locus brings order management, planning, carrier management, dispatch, tracking, settlement, analytics, and governance into one agentic operating layer. Locus is an Ingka Group company, backed by the world’s largest IKEA retailer and built for long-term enterprise scale. ## Trusted by Global Logistics Leaders Locus is used by **360+ enterprises** to run complex transportation networks and is recognized by leading analysts and customers. Key global impact: - **1.5B+** deliveries optimized globally - **$320M+** saved in logistics costs for clients - **17M+ kg** reduction in GHG emissions - **30+** countries served - **Rated 4.5★ on G2** ## From Legacy TMS to Agentic TMS Every order moves through seven operational phases. In legacy logistics operations, these phases are often managed across disconnected systems, spreadsheets, manual decisions, and fragmented teams. With Locus Agentic TMS, algorithms and agents make operational decisions in real time, while humans govern policy, exceptions, and outcomes. ### 1. Order Capture In legacy operations, order capture depends on OMS systems, order desks, customer service teams, spreadsheets, and manual validation. Teams verify addresses, manage delivery slots, enrich orders, and commit customer promises by hand. With Locus, the Order Management module ingests, normalizes, enriches, and slots orders through one platform layer. A Capacity Agent matches demand to the right fleet—captive, contracted, or outsourced—and commits delivery promises within policy. Automated decisions include: - Address validation - Slot selection - ETA promise - Channel-aware routing ### 2. Plan and Consolidate Legacy planning relies on TMS screens, planners, and warehouse managers who manually build routes, sequence stops, select modes, consolidate loads, and replan when disruptions occur. Locus Planning and Optimization combines load consolidation, multi-leg planning, mode selection, sequencing, and 3D load building in one decisioning layer. A Dispatch Agent builds routes based on driver skills, live constraints, and operational changes. Automated decisions include: - Route and stop sequencing - Load consolidation - Multi-leg planning - Mode and backhaul selection ### 3. Source and Tender In traditional operations, procurement and carrier teams work across rate sheets, broker portals, email, and fragmented contracts. Carrier selection, negotiation, tendering, and contract enforcement are handled manually. Locus Carrier & Rate Management centralizes multimodal rates, contract-aware tendering, and lane-level carrier scoring. A Carrier Agent scores carriers by lane and geography, switches to backups before SLAs are at risk, and tenders automatically within policy. Automated decisions include: - Carrier scoring by lane - Auto-tendering - Carrier switching on SLA risk - Continuous contract enforcement ### 4. Execution and Tracking Legacy execution often depends on separate fleet management systems, driver apps, control towers, warehouse teams, operations teams, and customer service teams. Driver assignment, hub flow, cross-docking, rerouting, tracking, and customer updates are handled manually. Locus Dispatch & Tracking unifies hub flow, driver companion, electronic proof of delivery, in-flight visibility, and exception management. Hub and Dispatch Agents manage inbound, cross-dock, outbound, rerouting, and proactive customer communication. Automated decisions include: - Dispatch and cross-dock orchestration - Rerouting during disruptions - Proactive ETA communication - Real-time exception triage ### 5. Payment and Reconciliation In legacy setups, finance and operations teams reconcile invoices against shipment and contract data manually inside ERP or accounting systems. Locus Settlement performs a four-way match across contract, shipment, proof of delivery, and invoice. The Settlement Agent flags overcharges, audits anomalies, and pays within approved policy. Automated decisions include: - Four-way matching - Overcharge detection - Policy-based payment - Continuous contract audit ### 6. Operational Analysis Traditional analytics depend on BI tools, nightly dashboard refreshes, SQL queries, and specialist reporting cycles. Teams manually create driver scorecards, cost analyses, lane performance reviews, and KPI reports. Locus Freight Analytics & Reporting brings descriptive, diagnostic, predictive, and prescriptive analytics into one place. A Copilot Agent gives every persona natural-language access to the operation, enabling teams to ask questions, understand reasoning, and act faster. Automated capabilities include: - Natural-language queries - Auto-explanations - Continuous learning - Prescriptive recommendations ### 7. Strategic Analysis Legacy strategic planning is often outsourced to consultants for network design, capacity planning, utilization studies, and cost optimization. Locus Governance & Strategy supports network simulation, policy authoring, audit trails, and compliance enforcement. An Orchestrator Agent coordinates all agents across the network so that a constraint in one phase automatically informs decisions across the rest of the operation. Automated capabilities include: - Network simulation - Policy enforcement - Strategic capacity modeling - Compliance auditing ## Humans Govern. Agents Act. Locus is designed so enterprise teams define the rules, set guardrails, and govern outcomes while agents execute within those boundaries. Core governance capabilities include: ### Explainability Every decision includes its trigger, context, reasoning, action, and outcome. ### Traceability Decision events are linked to outcome events, creating compliance-ready audit trails from trigger to result. ### Evaluation Decision quality can be scored, A/B tested, monitored for drift, and benchmarked against human baselines. ### Autonomy Levels Teams can graduate agents through autonomy levels: - **L1:** Human approval required - **L2:** Agent acts automatically within guardrails - **L3:** Agent operates autonomously based on confidence, domain, and policy ### Execution Sandbox Agents can be tested in simulation mode, shadow mode, or staged rollout by lane or carrier, with rollback and kill-switch controls. ### Human Review Locus supports collaboration patterns where agents prepare the work and humans make the judgment, shifting teams from manual execution to oversight and decision governance. ## Customer Impact CP AXTRA scaled omnichannel retail operations across Asia with Locus, expanding from **500 to 4,000 trucks** while improving fleet efficiency by **24% in under six months**. > “We needed a partner who could scale with our growth, and Locus delivered. We expanded from 500 to 4,000 trucks while improving fleet efficiency by 24% in under six months.” > > **Sarun Pipattanapongsopon** > Associate Director, Last-Mile Logistics & Supply Chain Transformation Reported outcomes include: - **100%** tracking and visibility - **72%** reduction in average location drift - **66%** reduction in planning time Additional customer examples include: - An enterprise paint leader automating invoice and reconciliation across **160 depots** - A Fortune 50 parcel leader automating centralized dispatch across **120 countries** - Siam Makro reducing dispatch planning time by **66%** with Locus Agentic TMS ## Enterprise-Grade by Default Locus runs on the private cloud of the customer’s choice and integrates with existing ERP, OMS, WMS, FMS, or TMS environments in weeks. The platform is built for enterprise scalability, security, and reliability: - **12M+** automated decisions per day - **99.97%** uptime - ISO/IEC 27001 certification - ISO 27701 certification - SOC 2 - GDPR compliance ## Not Software. A Software Factory. Locus works with enterprise teams through Forward Deployed Engineers who embed with the customer’s implementation team to configure agents, workflows, and third-party integrations. The model is designed to help customers build and own their own factory of logistics agents. ### Stand Up and Deploy Agents are set up in the customer environment, connected to the existing stack, and moved into production. ### Tune and Graduate Teams monitor agents, tune thresholds, and graduate them to higher autonomy levels as confidence improves. ### Customer Ownership Forward Deployed Engineers train themselves out so internal teams can own, operate, and scale their agentic transportation workflows. ## Operational Impact of Agentic TMS Outcomes customers see when agents run the network include: - **99.5%** on-time delivery SLA - **90%** improvement in fleet utilization - **66%** faster planning cycles - **20%** reduction in logistics costs"