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Industrial equipment and machinery

AI agents for equipment aftermarket parts requests

Industrial equipment and machinery systems connected through Stacksync two-way sync: Salesforce, NetSuite, Acumatica, PostgreSQL

Use a Genie to assemble the machine history, approved part references and commercial context behind an aftermarket request. Stacksync fits equipment builders whose service teams spend time searching several systems before they can prepare a compatible parts proposal. The Genie prepares evidence; service engineering and commercial owners approve the consequential decisions.

A customer sends a photo or asset label, and the team must reconstruct the installed configuration before it can responsibly recommend a replacement.

Book a demo

Explore your process in a demo, or get our shared two-way sync architecture guide.

When this fits

Built for this operating problem

COOs, service directors and IT leaders at US equipment builders with 100–1,000 employees and a mix of manufacturing, distribution and service.

Resolve the installed context

Gather serial, shipment and approved modification evidence while preserving uncertain identity matches.

Prepare supported part proposals

Show the applicable replacement or kit rule and required companion components.

Keep commercial decisions explicit

Warranty, pricing and delivery acceptance remain separately owned; unresolved questions do not disappear inside a generated answer.

The process, end to end

Follow the work across systems

an aftermarket leader wants a reviewer to receive one packet containing the resolved serial, retrofit history, supported replacement and open questions. Evaluate a transferred machine and a conditional supersession rather than only a simple catalog lookup.

Scope your implementation

Bring these details to the demo

  • Approved serial and installed-configuration records.
  • Reviewed replacement, supersession and kit references.
  • A service reviewer and the intended quote or order handoff.

Review current platform pricing alongside the records, volume, and actions in your process. Use your own operating baseline to evaluate the economics.

Book a demo

Explore your process in a demo, or get our shared two-way sync architecture guide.

Go deeper

Implementation guides for your team

Explore all industrial equipment and machinery integration and automation guides ↗

Common evaluation questions

Can it identify parts from an image?

Images can assist investigation, but the accepted proposal should follow the manufacturer’s identification and compatibility process.

How does the Genie handle a machine it cannot identify?

It keeps the candidates open instead of picking one. When a photo or local asset label matches more than one serial, or the retrofit history is incomplete, the packet lists each candidate, the evidence that separates them and the specific nameplate or shipment reference that would settle it. The service reviewer decides whether to ask the customer or accept a match. No replacement is proposed as compatible until the installed configuration is established.

How should savings be calculated?

Measure reviewer search and clarification effort, proposal corrections and completed accepted handoffs, including the cost of reviewing Genie output.

Where do Genies sit in the product order for aftermarket parts requests?

Two-way sync goes in first, so Salesforce, NetSuite and Postgres agree on the serial and installed configuration behind the resolved machine, part proposal and commercial draft. Workflows come next when a warranty replacement handoff needs coverage and compatibility matched with named owners. Then the Genie reads those records, assembles the evidence into a review packet and prepares the next action, while service engineering approves the part and commercial owners approve price and coverage. EDI is a separate transport for distributor purchase orders with kits and partial shipments.