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A case study · Tractor component manufacturing

AI-powered operational intelligence platform

From sourcing and foundry to executive decisions through one connected intelligence layer.

Where it started

Sourcing, foundry, and machining each generated their own record, and none of them lined up with the master assembly schedule. Bottlenecks showed up after they had already cost time, and an audit question meant tracing certificates and serial numbers by hand.

What we put in place

Heavy machining bottlenecks

Correlates work orders with operator logs to uncover inefficiencies in heavy drilling and tractor-mount component lines.

Component shortage windows

Forecasts assembly line stoppages by evaluating supplier lead-time changes in freight and shipping notices.

Batch production velocity

Monitors structural fabrications, hydraulic kits, and lathe operations against the master assembly schedule.

ISO 9001:2015 traceability

Links raw steel mill test certificates to rig/component serial numbers for immediate audit-readiness.

Measurable impact

$2.5M
Actual ROI, up 12% vs previous quarter
$8.8M
Cost savings — $6.4M budget, $2.3M labor
Unit 3 optimization
Overall performance up

What changed

One connected layer now carries the picture from sourcing and foundry through to executive decisions, so performance, shortage risk, and traceability questions answer from the same place.

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