Skip to content

Solutions / Manufacturing

One platform across the plant and the office.

Manufacturing runs on systems that were never designed to talk to each other. Tray.ai ties ERP, MES, CRM, and the supplier stack into one.

orders/year processed through Tray.ai at Auctane (ShipStation / Stamps.com)
3B
records synced per day at Zuora
2M+
ROI in 3.6 months at Auctane
356%

Manufacturing’s integration debt is a competitive liability.

Twelve years of ERP projects, MES rollouts, and supplier portals adds up to 40 custom integrations and 15 batch jobs nobody wants to touch. Tray.ai replaces that with one integration layer — one audit surface, one vendor. The same platform deploys the AI agents that handle procurement approvals and quality routing.

What manufacturers build on Tray.ai

ERP-to-everything integration

Connect SAP, Oracle, or NetSuite to CRM, WMS, and supplier portals — no batch exports, no manual reconciliation.

Supply chain visibility

Inventory, order status, and demand signals unified in one view. Production planning runs off current data.

AI agents for operations

Agents that handle procurement approvals, quality exception routing, and supplier onboarding — with human-in-the-loop gates.

Audit trails across every workflow

Every integration run, every agent action logged. Compliance and audit requirements met by default.

Frequently asked questions

How does Tray.ai connect to SAP, Oracle, and NetSuite? +

Native connectors for SAP S/4HANA, SAP PI/PO, Oracle ERP Cloud, Oracle EBS, and NetSuite are in the Tray library. The universal HTTP client covers any remaining proprietary or supplier portal APIs. The workflow that ties them together replaces the point-to-point integrations and nightly batch jobs that typically sit between these systems.

Can Tray.ai handle the data volumes manufacturing generates? +

Yes. Auctane processes 3B orders per year. Zuora syncs 2M+ records per day. High-throughput operational data — production logs, inventory counts, sensor data aggregates — is a standard workload on the platform.

What does AI look like for manufacturing operations? +

The practical starting points are back-office — IT service desk automation, procurement approval routing, supplier onboarding, quality exception escalation. These are lower-risk than production-floor or customer-facing agents and prove the governance posture before you go further. Customer-facing agents (order status, returns, delivery ETAs) follow once the back-office patterns are proven.

How does governance work for regulated manufacturing environments? +

Every workflow run is logged with full audit trail. RBAC controls who can build, modify, and trigger workflows. SOC 2 Type II, HIPAA (where applicable), and GDPR are certified. Agent Gateway adds MCP governance — managed tool access, RBAC, and observability for AI agents acting in production systems.

Talk to someone who's done this in Manufacturing

A tailored demo against your real systems and stack.