The Agentic OMS built for the age of AI and agents.
fulfillmenttools connects inventory, orders and fulfillment across your network and finds the best option for fulfilling each order — giving both your own AI agents and external systems the operational foundation they need to make intelligent decisions in real time.
The four pillars of fulfillment intelligence
Commerce is becoming more dynamic, more distributed and more complex. Static rules and fragmented systems can no longer keep up with the pace of modern operations.
AI in fulfillment doesn’t arrive all at once. It evolves — from understanding what’s happening in your operations to actively executing decisions across your network.
Understand
AI surfaces what is happening across your fulfillment network, turning operational data into actionable visibility.
Optimize
AI improves decisions continuously across routing, inventory distribution and order operations — reducing cost and increasing reliability.
Configure
AI supports the definition of fulfillment logic — helping teams translate business goals into routing strategies and operational rules.
Execute
AI acts on decisions autonomously, automating fulfillment processes across your entire network.
Every order is a decision. And those decisions must be made based on real-time data, operational constraints and changing conditions — not predefined logic that breaks under pressure.
We bring intelligence into fulfillment operations
Our AI Sidekick gives teams direct access to fulfillment intelligence — from understanding what’s happening in your network to autonomously executing decisions across the order lifecycle. Each agent behind it handles a specific use case, ready to act from within the Backoffice.
Backoffice Insight Agent Gives teams immediate access to operational knowledge — answering backoffice questions, surfacing configuration logic and reducing the time spent searching across documentation and subsystems.
The result is less context switching, faster onboarding and users that spend their time on decisions that matter — not on finding the information they need to make them.
Routing Intelligence Agent Guides teams in translating business goals into effective routing strategies — analyzing network conditions, cost targets and operational constraints to define routing logic that reflects how the business needs to operate.
Smarter routing configuration means fewer suboptimal fulfillment decisions at scale. Orders reach the right node faster, cost-to-serve decreases and margin is protected without manual rule maintenance.
Routing Execution Agent Finds the best possible fulfillment option for every order. Powered by a new routing optimizer, it is fully goal-driven and continuously optimizes routing decisions based on defined business objectives and past learnings.
By evaluating billions of options in real time, the Routing Execution Agent ensures that each order is routed in the best way possible, balancing factors like performance, cost and service quality across the fulfillment network.
Enable external AI agents to operate on real fulfillment data
AI agents can only make meaningful decisions if they have access to accurate, real-time operational data. fulfillmenttools provides exactly that foundation.
External AI agents can access inventory availability, delivery promises, fulfillment options and live order data through our platform. This enables AI-driven commerce experiences across the entire journey — from product discovery to checkout and fulfillment execution.
fulfillmenttools connects to external agents via onX, the open MCP-based protocol for agent-to-OMS communication, established by the Commerce Operations Foundation — of which fulfillmenttools is a founding member. It is the only MACH-certified OMS that is simultaneously onX-ready.
Whether it’s our own AI agents optimizing routing decisions or external systems interacting with your commerce stack via onX — all decisions are grounded in the same operational data and logic.
This creates a consistent, scalable and future-ready foundation for AI-driven fulfillment. One layer. Every agent. Every decision.
Read our Report: The State of Agentic Commerce Operations
The future of retail is being reshaped by AI-driven, autonomous agents — and the operational demands they create. Our State of Agentic Commerce Operations report unpacks how this shift is redefining the role of the Agentic Order Management System as the decisive infrastructure layer for the AI era.
Discover why retailers need real-time operational truth, how multichannel complexity is accelerating, and what it takes to become ready for an agentic, automated future.
Better decisions, measurable outcomes
Today, AI helps teams understand and continuously improve fulfillment operations. Over time, it will take on more of the execution — supporting and ultimately automating decisions across the entire order lifecycle while still offering the possibility to define the agent’s autonomy.
This is what it means to be an Agentic OMS: a system that doesn’t just process orders, but actively drives the best outcome for every single one.
The business case for fulfillment intelligence is not abstract. It follows a clear logic: AI that acts proactively — before stock runs out, before an SLA is missed, before a routing decision costs more than it should — creates compounding value across every order, every day.
Retailers working with fulfillmenttools see this in three concrete areas. Smarter inventory distribution reduces overall stock levels and frees up working capital that was previously tied up in the wrong locations. Proactive order lifecycle management keeps fulfillment on track and maintains customer communication even when exceptions occur — driving higher satisfaction and reducing churn. And optimized routing decisions lower cost-to-serve systematically, without requiring constant manual reconfiguration.
The outcome is an operation that improves continuously — and a business that captures the revenue and cost advantages that reactive, rule-based systems leave on the table.
Make your fulfillment AI-ready
Bring intelligence into your operations and connect external AI agents to a fulfillment layer that's built for them.