Case study · Delivery evidence

A trusted data path from industrial operations to management decisions

An ERP and AI information layer connecting weighbridge, laboratory, vehicle, energy, and PLC data while keeping operational technology control separate.

The operating challenge

Production information was fragmented across equipment, paper records, and isolated systems. Management received delayed summaries, but connecting the data could not compromise safety-related industrial control.

Designed intervention

01

Mapped material movement, weighing, quality testing, vehicle energy, and production records to accountable business objects.

02

Established a controlled data interface between PLC information and management systems.

03

Unified operational dashboards, mobile access, permissions, validation, and audit records.

04

Added business questions and exception explanation above the trusted data layer, not direct AI control of production.

Validation snapshot

These figures separate delivered scope from pilot validation. Each metric retains its measurement definition so product coverage is not mistaken for business impact.

4

field processes connected

Weighbridge, laboratory, vehicle, and energy

1

unified operating entry

ERP, mobile access, and industrial data

96.1%

field-data coverage

Critical shifts, equipment, and business events recorded

99.2%

on-time collection

Data arrived within the defined dashboard window

27 min

exception acknowledgement

Alert to accountable operator confirmation; 41 min before

Evidence boundary

Validation covers data-record completeness, collection timeliness, and operator acknowledgement in the delivered project scope. Safety-related actions remain under authorised site personnel.

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