Manhattan Associates

Ecosystem

Enterprise supply chain and order management platform used by large retailers for distributed order orchestration, warehouse operations, and store fulfillment. Provides APIs for real-time inventory visibility and order routing across networks.

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Manhattan Associates builds supply chain software for large retailers and distributors. Its Order Management System is a central piece of the distributed order management stack for many major retail chains. The platform handles order capture from multiple channels, inventory availability queries across stores and warehouses, order routing decisions based on fulfillment cost and speed, and post-purchase order modification.

The Manhattan OMS architecture is designed for high-volume, complex fulfillment environments. It supports ship-from-store, buy-online-pickup-in-store (BOPIS), curbside pickup, and traditional distribution center shipping from a single order management layer. Inventory positions are maintained in real time across all nodes in the network.

Manhattan's API surface is enterprise-grade and comprehensive. The platform exposes REST and SOAP APIs for order lifecycle management, inventory queries, fulfillment node management, and returns processing. Large retail implementations typically integrate Manhattan with their e-commerce platform, ERP, and warehouse management systems through these APIs.

For agents operating in enterprise retail contexts, Manhattan Associates is a key integration target. An agent completing a UCP checkout at a large retailer may be triggering a fulfillment workflow that runs through Manhattan's OMS. Understanding the OMS API allows agents to query fulfillment options, check inventory at specific nodes before confirming availability, and receive order status updates directly from the fulfillment layer. Manhattan Associates has been active in enterprise commerce modernization and API-first retail infrastructure, positioning it as a natural partner for UCP integration at the enterprise level.

Why This Matters for UCP

Manhattan Associates OMS is the distributed order management backbone for many large retailers, making it a critical integration point for agents that need to query real-time inventory availability and route UCP-initiated orders through enterprise fulfillment networks.

UCP Capabilities

order management

UCP Endpoint

Ecosystem — Endpoint not yet publicly available

Integration Example

// Manhattan Associates OMS REST API for enterprise order management.
// Agents query inventory availability and submit orders for routing.

const MANH_API = process.env.MANHATTAN_API_BASE_URL;
const token = process.env.MANHATTAN_API_TOKEN;

// Query real-time inventory availability across fulfillment nodes
const availability = await fetch(MANH_API + '/inventory/availability', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer ' + token,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    items: [{ sku: 'ITEM-001', quantity: 1 }],
    destination_zip: '30301',
    channels: ['STORE', 'DC', 'DROP_SHIP'],
  }),
}).then(r => r.json());

console.log('Available nodes:', availability.nodes.length);
console.log('Fastest option:', availability.nodes[0]?.node_id, availability.nodes[0]?.eta);

// Submit an order to the OMS for routing
const order = await fetch(MANH_API + '/orders', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer ' + token,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    channel: 'DIGITAL',
    source: 'UCP_AGENT',
    ship_to: { name: 'Jane Doe', zip: '30301', country: 'US' },
    lines: [{ sku: 'ITEM-001', qty: 1, price: 49.99 }],
  }),
}).then(r => r.json());

console.log('OMS order:', order.order_number, 'Routed to:', order.fulfillment_node);

Reviews

★★★★★4.7 (3 reviews)

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R. Kapoor

Platform Engineer · Jan 15, 2026

★★★★★

Integrated in an afternoon. Solid implementation with no unexpected edge cases in production.

J. Santos

Senior Engineer · Feb 28, 2026

★★★★★

Integration was straightforward. The UCP endpoint discovery works as documented and checkout completes in under 2 seconds.

M. Lee

Backend Developer · Mar 3, 2026

★★★★★

Works well for our use case. The documentation is accurate and the implementation matches what the spec describes.

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