LSPs run networks built around other companies' service commitments, so small disruptions rarely stay small. One client's change can strain dock capacity, labor and carrier plans shared with others. When order, warehouse and transportation decisions happen in separate systems, your team finds problems late and fixes them one at a time. Four pressure points surface first:
Connect order, warehouse and transportation to coordinate management across clients and networks.
Infios Order Management (OM) unifies orders across every channel by client, handling wholesale, direct-to-consumer, marketplace and subscription flows with client-specific rules instead of manual workarounds. Real-time inventory visibility cuts oversells and backorders as demand shifts. For LSPs managing multiple clients, one order and inventory picture replaces siloed tracking and surfaces exceptions as they emerge.
Infios Warehouse Management (WM) lets LSPs to configure workflows, roles and billing rules by client and site without custom code, automatically enforcing each client’s service level agreement (SLA). Labor management ties staffing to real-time order demand and task allocation. Work is prioritized as volume and conditions shift. A built-in billing engine invoices every activity, giving LSPs the cross-client visibility needed to manage compliance and revenue.
Infios Transportation Management (TM) supports multi-tenant operations so new accounts go live quickly with their own carrier and routing rules separate from all others. Rate optimization across modes and carriers controls freight cost as volume shifts. End-to-end shipment visibility flags delays and capacity shortfalls in time for planners to rebook or reroute.
Service levels, order profiles and client demand change suddenly
Infios AI reads demand shifts, service risk and operational pressure early to identify which clients, orders and commitments are most at risk. Infios AI updates order management priorities, adjusts warehouse labor and workflow and supports transportation service decisions across the network before recommending the next best move in real time.
Inbound volume, order mix and client requirements evolve
Infios AI tracks throughput, labor production and fulfillment pressure before performance slips, then assembles the workflows, clients and tasks that need attention first. Infios AI agents reprioritize order commitments, redirect warehouse work and inform transportation decisions.
Disruptions pile up across carriers, shipments and client commitments
Infios AI anticipates rising transportation and service risk before commitments are missed and traces which lanes, carriers and client commitments are most affected. Operating within human-determined guardrails, Infios AI agents reprioritize orders, update warehouse execution plans and reroute or rebook shipments.
Infios AI powers Intelligent Supply Chain Execution, connecting orders, warehouse and transportation so they act as one. When something changes, it responds immediately across every domain in a continuous loop: sense, decide, act, learn. Infios AI uses predictive, generative, agentic and conversational AI to coordinates each response in real time.
annual transportation cost savings
Intelligent Supply Chain Execution™, powered by Infios AI, connects order, warehouse and transportation to eliminate manual handoffs. When one operation changes, such as a delayed inbound shipment, warehouse tasks and order promises update in real time, reducing manual reconciliation across clients, facilities and freight.
Infios lets you scale by adding clients and services without standing up separate systems. Prebuilt integrations, reusable workflows and inherited configurations speed onboarding, so revenue arrives sooner. Infios AI automates daily execution, letting existing staff and facilities absorb more volume and services.
Infios AI applies predictive, generative, agentic and conversational intelligence across order, warehouse and transportation. Acting within guardrails you set, Infios Archer™ re-tenders loads, reprioritizes warehouse labor and updates order promises. Disruption becomes a managed exception before client SLAs are breached.
