Case studies

Deployed on real lines. Numbers attached.

Vacuum AI and Local Industrial Agent in production at a vacuum pump manufacturer, a semiconductor fab and a coating line. Every case carries a measurable engineering result.

CASE 01

International vacuum pump manufacturer

Tier-1 OEM · Shanghai · Model computing
Problem

Complex operating conditions made pump selection depend on senior engineers. A proposal took an average of 3 working days to produce, capping engineering throughput.

Solution

Vacuum AI embedded the operating-condition surface and pump parameters to automatically match the optimal configuration for each inquiry.

3 d → 10 min
Selection cycle
98%
Recommendation accuracy
+40%
Engineer productivity
CASE 02

Semiconductor fab

8-inch wafer · Suzhou · Parts marketplace
Problem

Tens of thousands of MRO spare-part SKUs, slow inventory turnover, a purchasing premium, and emergency downtime that depended on someone manually finding stock.

Solution

A parts marketplace aggregating suppliers, with AI predicting spare-part demand and auto-quoting; emergency parts expedited.

+60%
Inventory turnover
−25%
Procurement cost
24 h
Emergency part delivery
CASE 03

Coating industry leader

Shenzhen · Service operations
Problem

20+ lines spread across multiple sites. Fault response ran on a phone roster, and OEE sat below the industry average.

Solution

Local Industrial Agent plus a remote expert network — the agent diagnoses first, then dispatches, escalating to remote assistance only when needed.

−80%
Fault response time
+18%
OEE
7×24
Expert availability

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