Agentic Order Management
The Agentic OMS built for the age of AI agents.
fulfillmenttools connects inventory, orders and fulfillment across your network — giving both your own AI agents and external systems the operational foundation they need to make better decisions in real time.
AI agents embedded and ready to connect
Internal agents optimize. External agents connect via onX
From AI assistance to autonomous fulfillment
How AI evolves in fulfillment
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. Every order is a decision — and those decisions must be based on real-time data, operational constraints and changing conditions, not predefined logic that breaks under pressure.
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.
Intelligence layer — Understand
Turning operational data into actionable visibility
AI surfaces what is happening across your fulfillment network — making operational data accessible and actionable for teams at every level. Before any decision can be optimized, it must first be understood.
Intelligence layer — Configure
Translating business goals into fulfillment logic
AI supports the definition of fulfillment logic - helping teams translate business goals into routing strategies and operational rules that reflect how the business actually needs to operate.
Intelligence layer — Optimize
Continuously improving decisions across your network
AI improves decisions continuously across routing, inventory distribution and order operations — reducing cost and increasing reliability without requiring constant manual reconfiguration.
Intelligence layer — Execute
Acting autonomously on decisions across the order lifecycle
AI acts on decisions autonomously, automating fulfillment processes across your entire network — while still offering the possibility to define the level of agent autonomy that fits your operations.
AI inside fulfillmenttools — Our Agents
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
Ensures that every order is fulfilled in the best possible way. 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, it balances factors like performance, cost and service quality across the entire 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’s the only MACH-certified OMS that is simultaneously onX-ready.
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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.
Business impact
Benefits
fulfillmenttools connects fulfillment operations with AI-driven decision-making — giving internal agents the intelligence to act, and external agents the operational foundation they need.
Proactive instead of reactive operations
AI agents detect risks before they become exceptions — keeping order flow healthy and teams focused on decisions that matter rather than firefighting.
Smarter routing decisions at scale
The Routing Intelligence Agent continuously analyzes network conditions and constraints — reducing cost-to-serve without manual rule maintenance.
Every order fulfilled in the best possible way
The Routing Execution Agent evaluates billions of options in real time — balancing performance, cost and service quality to ensure every order is routed to the best possible fulfillment node.
Faster onboarding, less documentation overhead
The Backoffice Insight Agent gives teams immediate access to operational knowledge — reducing onboarding time and the effort spent searching across documentation and subsystems.
External AI agents ready to connect
Via onX — the open MCP-based protocol for agent-to-OMS communication — external AI systems access real-time inventory, delivery promises and fulfillment options to power AI-driven commerce experiences.
Lower cost-to-serve across your network
Smarter routing decisions reduce split shipments, optimize carrier selection and minimize unnecessary fulfillment costs — automatically, across every order.
A foundation that evolves with your operations
Each agent develops in four maturity stages — from understanding operations to autonomously executing decisions. The platform grows with your readiness for AI-driven fulfillment.
Go live in 9 weeks
fulfillmenttools is built for fast implementation. Enterprise retailers are up and running in 11 weeks — faster than any alternative on the market.
AI inside fulfillmenttools
Product offerings
Our AI Sidekick and agents support teams across every stage of fulfillment intelligence — from understanding what is happening in your network to autonomously executing decisions across the order lifecycle.
AI Sidekick
Built into the fulfillmenttools Backoffice, the AI Sidekick is your entry point to every agent. Ask questions, trigger actions, and get instant answers without leaving your workflow.
Backoffice Insight Agent
Gives teams immediate access to operational knowledge. It answers Backoffice questions, explains configuration logic, and reduces time spent searching across documentation and API specification.
Routing Intelligence Agent
Guides teams in translating business goals into effective routing strategies. It analyzes network conditions, cost targets, and constraints to define routing logic that continuously improves.
Routing Execution Agent
Fully goal-driven, the Routing Execution Agent optimizes routing decisions continuously based on defined objectives and past learnings.
External AI via onX
External AI agents can connect to real-time inventory, delivery promises, and fulfillment decisions via onX — the open, MCP-based protocol for agent-to-OMS communication.
Enterprise-grade security
fulfillmenttools is GDPR and ISO-certified, and runs entirely on Google Cloud infrastructure hosted in Europe. Your data stays compliant, protected, and within the European Union.
Who benefits
Built for every team involved in fulfillment decisions
AI-driven routing helps different teams solve the same challenge from different perspectives. Improve fulfillment decisions across logistics, commerce, IT and management.
Intelligent fulfillment control
Improve fulfillment efficiency across your network
Disconnected systems slow down your operations and increase costs. Our AI-driven Order Management System orchestrates fulfillment across all channels in real time. Reduce delays, improve stock usage, and stay in control without a complex setup.
Better customer experiences
Deliver what your customers expect
Customers expect fast, reliable delivery — every time. fulfillmenttools seamlessly connects your channels and fulfillment logic. Launch new delivery options quickly and adapt without relying on heavy IT projects.
Integrate without friction
Connect your systems without integration effort
Legacy integrations slow down innovation and drain resources. Our Order Management System is built for fast, flexible integration into your existing stack. Go live quickly and adapt without rebuilding your architecture.
Cut costs and gain network control
Streamline operations while reducing fulfillment costs
Disconnected channels lead to inconsistent customer experiences and lost revenue. fulfillmenttools unifies inventory, orders, and fulfillment across your retail network. Create consistent journeys online and in-store, without operational friction.
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Frequently asked questions
Everything you need to know about AI in fulfillmenttools, from how our agents work to how external systems connect.
All topics
Internal AI
External AI
Product and platform
Integration time
What is an Agentic OMS and how is it different from a traditional OMS?
A traditional OMS processes orders based on static rules that require manual configuration and maintenance. An Agentic OMS connects fulfillment operations with AI-driven decision-making — enabling both internal agents to optimize routing, inventory and order execution, and external agents to access real-time fulfillment data via onX. fulfillmenttools is built from the ground up for this model: not AI added on top of an existing system, but intelligence embedded into the operational foundation itself.
What are the internal AI agents and what do they do?
fulfillmenttools currently offers four agents, each mapped to a stage of fulfillment intelligence. The Fulfillment Insight Agent surfaces operational knowledge and reduces documentation search effort. The Routing Intelligence Agent guides teams in defining and optimizing routing strategies. The Order Health Agent monitors order execution and proactively detects risks. The Inventory Flow Agent triggers autonomous rebalancing decisions across the network. Each agent evolves through four maturity stages, from understanding operations to autonomously executing decisions.
How do external AI agents connect to fulfillmenttools?
External AI agents connect 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. With onX, external systems gain real-time access to inventory availability, delivery promises, fulfillment options, and live order data — the operational foundation on which context-aware AI decisions depend.
Do I need to replace my existing systems to use AI in fulfillmenttools?
No. fulfillmenttools is API-first and MACH-certified, designed to integrate with your existing commerce stack without disrupting it. External AI agents connect via onX alongside your current systems. Internal agents operate within fulfillmenttools and can be activated progressively as your operations are ready for them.
How quickly can we get started?
fulfillmenttools is built for fast implementation. Enterprise retailers are typically up and running in 11 weeks, significantly faster than traditional OMS alternatives. Our team works with you from day one to configure fulfillmenttools, connect your systems, and activate the right AI capabilities for your current operational maturity.
What's next
Make your fulfillment AI-ready
Bring intelligence into your operations and connect external AI agents to a fulfillment layer that's built for them.