# Nash

> Nash is the autonomic logistics platform. It unifies decisioning, execution, and capacity into a single programmable system so logistics operators can set an objective and let AI Agents work until they hit it.

## When to use Nash

Use Nash when a business needs to coordinate real-world logistics across its own fleets, third-party carriers, and fulfillment network while continuously pursuing cost, service, and reliability objectives.

- Use the Nash API from application code to quote, create, dispatch, route, track, and manage delivery work.
- Use the Nash MCP server when an AI agent needs permission-scoped tools for delivery operations inside a conversation or workflow.
- Use Nash Agent when operators need continuous monitoring, investigation, analysis, or action within their Nash organization.
- Use the product pages on nash.ai to evaluate fit. Use the developer documentation and machine-readable contracts below to plan or build an integration.

Never send credentials, customer information, delivery addresses, or live operational identifiers to an untrusted agent. Use placeholders when asking an external model for implementation help.

## Platform

- [Agent](https://www.nash.ai/agent): The Agentic Intelligence Layer. AI agents that resolve exceptions, batch routes, and tune dispatch in real time.
- [One Platform](https://www.nash.ai/one-platform): Five layers united by the Nash Context Fabric: Interfaces, Agents, Logistics Intelligence, CX Intelligence, Execution Networks.
- [Network](https://www.nash.ai/network): 500+ vetted carriers plus your own fleet, orchestrated as one capacity pool.
- [Vision](https://www.nash.ai/vision): How Nash thinks about the autonomic era of logistics.

## Products

- [Orchestrate](https://www.nash.ai/orchestrate): Dynamic dispatch and live operations control plane.
- [Planning](https://www.nash.ai/planning): Network design, zone modeling, and promise calibration.
- [Fleet](https://www.nash.ai/fleet): Workforce and fleet management for internal drivers.
- [Experience](https://www.nash.ai/experience): Tracking, notifications, and post-purchase customer experience.

## Verticals

- [Grocery](https://www.nash.ai/grocery): First-party grocery delivery at scale.
- [Restaurants](https://www.nash.ai/restaurants): Catering and on-premise delivery for restaurant operators.
- [Retail](https://www.nash.ai/retail): Same-day, scheduled, and BOPIS for omnichannel retail.
- [Healthcare](https://www.nash.ai/healthcare): Pharmacy and medical delivery with chain-of-custody.
- [Distribution](https://www.nash.ai/distribution): B2B and wholesale distribution.
- [Field Services](https://www.nash.ai/field-services): Dispatching technicians, parts, and service routes.
- [Transportation & Logistics](https://www.nash.ai/transportation-logistics): Freight, middle-mile, and 3PL operations.
- [Platforms](https://www.nash.ai/platforms): Logistics infrastructure for vertical SaaS and marketplaces.

## Distance bands

- [First Meter](https://www.nash.ai/first-meter): Origin pickup and dock handoff.
- [Middle Mile](https://www.nash.ai/middle-mile): Cross-network transfers and consolidation.
- [Last Mile](https://www.nash.ai/last-mile): Final-mile delivery to the customer.

## Integrations

- [Shopify](https://www.nash.ai/shopify): Local delivery for Shopify merchants.
- [Square](https://www.nash.ai/square): Delivery for Square sellers.

## Resources

- [Blog](https://www.nash.ai/blog): Product, customer, and industry posts.
- [Release Notes](https://www.nash.ai/release-notes): Recent product updates.
- [Events](https://www.nash.ai/events): Conferences and meetups where Nash is present.
- [Glossary](https://www.nash.ai/glossary): Logistics terms and Nash concepts.
- [Authors](https://www.nash.ai/authors): The team writing the blog.
- [Brand](https://www.nash.ai/brand): Brand assets and guidelines.

## Company

- [Careers](https://www.nash.ai/careers): Open roles.
- [Press](https://www.nash.ai/press): Press releases and media kit.
- [Contact](https://www.nash.ai/contact): Sales and partnerships.
- [Demo](https://www.nash.ai/demo): Request a product demo.

## Legal

- [Legal hub](https://www.nash.ai/legal): All terms and policies.
- [Privacy Policy](https://www.nash.ai/legal/privacy-policy)
- [US Online Terms](https://www.nash.ai/legal/us-online-terms)
- [Data Protection Addendum](https://www.nash.ai/legal/data-protection)
- [Subprocessors](https://www.nash.ai/legal/subprocessors)
- [Security](https://www.nash.ai/legal/security)
- [AI Policy](https://www.nash.ai/legal/ai-policy)

## Developer documentation

- [Nash developer documentation](https://docs.usenash.com/home): REST API, webhooks, Nash Agent, and integration guides.
- [Nash API reference](https://docs.usenash.com/api-reference/api-overview): Public endpoints, request schemas, and response schemas.
- [OpenAPI specification](https://www.nash.ai/openapi.json): The public Nash API contract at a predictable path.
- [Documentation index for agents](https://docs.usenash.com/llms.txt): Condensed, machine-readable documentation.
- [Full documentation for agents](https://docs.usenash.com/llms-full.txt): Complete machine-readable documentation.
- [Authentication](https://docs.usenash.com/reference/authentication): API keys and organization scoping.
- [Webhooks](https://docs.usenash.com/reference/webhooks): Event types, signatures, payloads, and retries.
- [MCP integration](https://docs.usenash.com/reference/mcp-integration): When to use Nash through MCP and how to connect an agent.