Why Manhattan Active® Agents Are the Right AI for Supply Chain Commerce

AI Agents That Think, See, and Execute Supply Chain Work

Most AI offerings started as chatbots or CRM tools and now claim to "do" operations, but they only talk about them. Manhattan Associates took the opposite approach: we built agents inside the platform that runs your operations.

Microservices APIs for Warehouse and Transportation Systems:

• Built into your operational backbone: Agents run on Manhattan Active Platform, the same cloud-native system powering the world's most complex warehouses, transportation networks, and order management operations. Instead of bolting AI onto legacy systems, agents access real-time data and control actual processes through microservices (small, specialized software components that work together like stations in a warehouse).
• Embedded in the work, not layered on top: Agents operate inside Warehouse Management, Transportation Management, Order Management, and Store Operations, delivering insights, recommendations, and automated actions right where your teams work.

How AI Agents Execute Tasks Across Warehouse Systems:

• Think: When a warehouse supervisor asks why a wave failed, the agent doesn't just pull a status report, it diagnoses root causes across inventory, labor, and system constraints, then maps out solutions.
• See: Agents pull live data from your operations, spot patterns humans miss, and ask clarifying questions to build a complete picture before recommending next steps.
• Do: Agents execute the plan autonomously. They update inventory allocations, trigger replenishment, reassign labor, and adjust shipment priorities, coordinating across systems through APIs to finish the job at scale.

This combination, advanced reasoning, stateful workflows (agents that remember context across multiple steps), and direct access to operational systems, separates Manhattan Active Agents from chatbots that only respond.

Pre-Built AI Agents for Warehouse and Transportation Management

You don't need to build AI from scratch. Manhattan delivers pre-built agents trained on the operations you run every day:

• Labor Agent: Tracks employee performance, utilization, and gap time across shifts. Spots labor shortages in real time so supervisors can reallocate workers before productivity drops.
• Wave Agent: Diagnoses why waves fail to fill, pinpoints the exact items causing problems, and recommends fixes to get orders moving.
• Store Agent: Pulls insights on sales velocity, product performance, customer behavior, and fulfillment metrics into one view.
• CSR Agent: Handles order status lookups, tracking numbers, and common customer questions. Service reps resolve issues faster without escalating to specialists.

These agents arrive pre-trained on supply chain workflows and connect directly to your operational systems. Dispense with the months of configuring generic agents to "learn" fulfillment.

Build Custom Supply Chain AI Agents with No-Code Agent Foundry

Manhattan Agent Foundry comes standard with every Manhattan Active subscription, giving you a complete environment to create, test, and scale custom agents.

• Business users start in plain English: Describe what you need in natural language and Agent Foundry suggests pre-built agents you can combine as building blocks. Customize templates using everyday language without writing code.
• Developers go deeper when needed: Technical teams can build agents from scratch, orchestrate multi-step workflows, and integrate APIs from Manhattan Active or external systems.

Agent Foundry lets you treat AI innovation like product development, continuously creating, testing, and deploying new agents as your business changes. Each agent you build uses reusable components, so your second agent takes half the time of your first.

Measure ROI and Productivity Gains with Supply Chain AI Agents

Every AI initiative faces the same question: "What does this actually deliver?"

Manhattan Associates answers with built-in measurement:

• Track performance before and after deployment: Measure decision speed, error reduction, and operational outcomes. See exactly what changed and whether the agent earned its keep.
• Audit every agent decision in plain English: When an agent reallocates workers, you see the reasoning, current utilization rates, predicted demand, and productivity trends, so you can verify the logic and refine the agent's rules over time.
• Expect productivity gains up to 60%: Manhattan projects this range based on eliminating manual diagnostics, reducing errors that trigger rework, and accelerating decisions that used to require meetings and spreadsheet analysis.

Manhattan Active Agents operate inside your core systems, warehouse management, transportation, order orchestration, where productivity improvements directly affect your bottom line.

Trustworthy AI Agents: Security, Guardrails, and Performance

When AI moves from pilots to running actual operations, trust stops being optional.

• Agents ground answers in your real data: Using RAG (retrieval-augmented generation, giving AI a searchable library of your actual operational data) and grounding (validating AI outputs against trusted sources), agents pull information from Manhattan Active systems, not generic internet knowledge. When a labor agent recommends reassigning workers, it bases that decision on your current shift data and capacity constraints, not hallucinations.
• Multiple guardrails prevent agents from going rogue: Instructional guardrails define what agents can and cannot do. Procedural guardrails ensure agents follow your approval workflows. API guardrails limit which systems agents can access and what data they can change.
• Full visibility into every agent action: Execution logs capture what each agent does, how long each step takes, and which resources it uses. Compliance teams get the trail they need; operations teams spot optimization opportunities.

Competing platforms bolt trust features onto generic AI after the fact. Manhattan weaves trust directly into agents that already operate inside your mission-critical systems.

Future-Proof Agentic AI Strategy for Multi-Site Supply Chains

Agentic AI represents one of the biggest shifts in how software works, moving from tools that wait for instructions to systems that reason, plan, and act autonomously.

Unified Platform for Warehouse, Transport, Order Management:

• One platform connects AI across your entire operation: At Giant Eagle, a labor agent monitoring their Bedford Heights warehouse can trigger adjustments across their seven-distribution-center network based on real-time demand shifts — coordinating labor, automation, and transportation for 470+ grocery stores without custom integrations or data synchronization delays.
• Agents collaborate beyond Manhattan: Using open industry protocols (A2A for agent-to-agent communication and MCP for how messages move between systems), Manhattan agents coordinate with external agents from Salesforce, third-party transportation systems, and other vendors through platforms like Gemini Enterprise Agent Marketplace.
• Enterprise-grade AI from day one: Manhattan Active Agents run on the same platform that executes millions of warehouse transactions daily. The security, audit trails, and performance guarantees already proven in mission-critical systems apply to your AI immediately.

While competitors retrofit AI onto legacy systems, Manhattan embeds agentic AI into the platform that runs your operations.

Manhattan Active Agents vs. Generic AI Chatbots for Commerce

Your competitive advantage lives in operations: how fast you move inventory, how accurately you orchestrate orders, how efficiently you staff warehouses and coordinate transportation. Generic AI tools talk about these processes. Manhattan Active Agents run them.

Manhattan Active Agents stand apart because they:

Operate inside the systems that execute your business: Agents understand fulfillment velocity, labor productivity, and inventory accuracy because they work inside Warehouse Management, Transportation Management, and Order Management, not as a layer talking to them from the outside.

Complete work autonomously: Agents think, see, and do, reasoning across multi-step workflows and taking real action inside your operational systems. They complete work, not just conversations.

Prove value in measurable terms: Track decision speed, error reduction, and productivity gains. Audit every agent action with decision logs that explain the reasoning.

Earn enterprise trust from day one: Agents inherit the security, guardrails, and performance guarantees that already run your mission-critical operations. Trust gets built in, not bolted on afterward.

The bottom line:

AI demos impress. Operational AI delivers. If you want agents that move inventory, reallocate labor in real time, and optimize shipments across your network, not just answer questions about them, Manhattan Active Agents give you the platform, the expertise, and the proven path forward.