Same warehouse. Ten OEM customers. Zero parts mix-ups.
Hub providers operate Forward Stocking Locations (FSLs) on behalf of multiple OEMs — same physical hub, different parts owners, different SLAs. The Captain reads live inventory and dispatch signals, ranks exceptions by SLA penalty exposure, drafts the response per OEM tenant, and answers "where are my parts" with a cited line from the WMS — not a hallucinated paragraph.
Architecturally, one OEM customer's view never crosses another's.
When you operate one physical hub on behalf of multiple OEMs, tenant isolation is not a feature — it's a contract requirement, a liability boundary, and a sales argument. OpsATC.AI enforces a hard tenant boundary at every layer from day one: parts ownership, dispatch rules, service contracts, portal access, and analytics all carry a per-OEM data perimeter. No cross-tenant analysis, ever — by construction, not by policy.
The five operations that consume your week.
In the discovery conversations we've had with hub providers running Forward Stocking Locations on behalf of OEMs, a recurring pattern keeps surfacing — different OEM customers, different SLAs, the same five drains. The Captain is designed around exactly these.
Service-parts accuracy across OEM contracts
Each OEM owns their parts. You operate the hub but can't co-mingle inventory. Missing one $50 sensor breaks a $50K medical-equipment SLA, and the cycle-count error that surfaced it is buried three reports deep. Accuracy isn't a metric — it's the contract.
Multi-tenancy in shared physical hubs
Same warehouse, multiple OEM customers. You need bulletproof tenant isolation in the data layer — parts ownership, dispatch rules, service contracts, portal access — all enforced below the operator's view. One leaked report kills two contracts.
Service-dispatch turnaround pressure
2-hour and 4-hour parts-to-field-tech SLAs with cascading penalty exposure if missed. Your dispatch coordinators are stitching pick lists, courier handoff, and tech location across three tools — and the clock started when the field ticket opened, not when you saw it.
Warranty / RMA workflow integration
Reverse flows from the field — refurb decisions, return-to-vendor cycles, scrap dispositions — usually managed in OEM systems you don't control. Status drifts. The RMA backlog grows. The OEM customer asks where their core credit is, and the answer lives in their ServiceNow, not your WMS.
Customer-facing portals (per-OEM views)
Each OEM wants their own portal — their inventory, their dispatches, their RMA status — tenant-isolated by design and branded to feel like their system. Standing up a portal per contract is a roadmap item that never ships. Without it, every status question becomes an email.
All five run through the same orchestration layer
The Captain doesn't replace your warehouse leads, service-dispatch coordinators, or OEM account managers. She compresses the time from signal to dispatch — across all five drains, in the same agent, with the same audit trail, above your existing WMS and service-management layer rather than replacing it. Tenant isolation is enforced below the orchestration layer, not bolted on top.
Read · reason · cite · draft. Operator approves. Never crosses tenants.
The Captain reads your live systems via MCP, reasons across them within a single OEM tenant boundary, drafts cited recommendations for each role — and stops at the operator. Every commit happens in your existing tool, with the source records cited and the audit log captured. No cross-tenant analysis, ever.
Per-persona outcome targets — measured against your baseline.
Design-stage targets, not promised magnitude. The first design-partner pilot is where the delta gets measured against your operator baseline. Below: where The Captain is built to move the needle, by role.
OEM contract sourcing priced against live hub data
Designed to surface per-OEM cost-to-serve, dispatch-volume patterns, and SLA penalty exposure before a new service-contract or renewal is committed — measured per design-partner against your historical contract-modeling cycle.
Per-OEM stock accuracy held without co-mingling
Designed to compress per-OEM cycle-count reconciliation from a multi-day stitched report to a same-day per-tenant view — replenishment recommendations cited to the WMS and the OEM contract minimum, with hard isolation between tenants.
Parts-to-field-tech orchestration in one queue
Designed to compress the time from field-ticket-open to courier-handoff for a 2-hour SLA — full WMS / service-mgmt / OEM-ERP context already pulled before the dispatcher acts, with SLA-clock visibility on every line.
A per-tenant portal that answers status without an email
Designed to redirect a meaningful share of "where are my parts" and "where is my core credit" inbound off the account-management desk and onto a self-service portal that cites the live WMS and RMA event log — tenant-scoped by construction.
Hub utilization and SLA compliance in one view
Designed to give the executive team a live read on hub utilization, SLA compliance per OEM customer, and margin per contract in the same view — so capacity decisions and customer commitments are made against the same picture.
How OpsATC.AI compares to spare-parts service platforms and category alternatives →
Pre-built MCP connectors for the hub-provider stack.
OpsATC.AI sits on top of your existing investments — your WMS, service-management platform, OEM ERP feeds, EDI gateway, and field-service tools. Nothing gets retired. Read-only connectors via Model Context Protocol, with audit trails at the protocol boundary and tenant isolation enforced at the adapter layer.
Reference adapter implementations are scaffolded for these platforms and validated against synthesized fixtures from public API documentation. Partner-sandbox re-records are pending; production validation happens during the first design-partner pilot. See platform integrations for the full reference-vs-scaffolded breakdown.
WMSHub inventory, cycle counts, pick / pack / dispatch
Service ManagementField tickets, service contracts, escalations
OEM ERP integrationParts master, contract terms, financials per tenant
EDI & B2BTrading-partner integration · X12 generic adapter
Dispatch & Field ServiceTech routing, courier handoff, mobile execution
Spare-parts platformsParts planning, forecasting, stocking-policy systems
The IT lift is smaller than most hub directors expect.
No data lake. No parts-master extraction. No WMS replatform. The Captain reads your existing WMS, service-management platform, OEM ERP feeds, and EDI gateway live via MCP — and adapts on operator feedback, not retraining cycles. We orchestrate the service-parts layer only. See the Day 1 to Day 90 timeline →
What we need
- ✓Read-only WMS access per OEM contract (Manhattan, Blue Yonder, SAP EWM, or your platform of record)
- ✓Read-only service-management feeds (ServiceNow, IFS Cloud, Salesforce Service Cloud)
- ✓Parts master data per OEM tenant and dispatch SLA targets per service contract
- ✓Allow-list approval for OpsATC.AI's egress addresses
- ✓One-time field-mapping confirmation per connector, per OEM tenant
What we don't need
- ✗Your OEM customers' financial systems or general ledger
- ✗Your OEM customers' end-customer lists or installed-base records
- ✗Your OEM customers' product roadmaps or engineering data
- ✗Cross-tenant analysis or any view that pools two OEMs together
- ✗Custom adapter work for standard WMS / service-management platforms
Bring your worst service-dispatch week. We'll walk through how it changes.
Thirty minutes, your live operational pain points — a 2-hour SLA at risk, a cycle-count discrepancy on a tenant's high-value FRU, an RMA backlog that's gone cold, a portal request from an OEM account manager you can't close. We'll walk through how the orchestration layer changes the response, the cycle time, and the contract exposure. Written diagnosis within one business day.