Managing fleets of excavators, mobile cranes, and bulldozers deployed across remote mining concessions generates thousands of grease-stained, handwritten machinery time-sheets. A prominent heavy equipment rental contractor reduced its invoice turnaround cycles from 25 days down to two days by integrating Goodsyst’s specialized computer vision and OCR AI engine.
1. The Billing Bottleneck: Illegible Time-Sheets and Machine Hour Disputes
Previously, field operators logged machine hour-meters on carbon copy paper manifests. Sheets frequently arrived illegible, torn, or delayed by weeks. Once monthly invoices were compiled, enterprise clients contested disputed operating hours, locking up billions in working capital.
2. AI-Driven Optical Character Recognition Cross-Referenced with IoT Telemetry
Goodsyst deployed a mobile site utility enabling field supervisors to photograph manifests on smartphones. Specialized OCR models parse machinery serial numbers, operator shifts, and run-times, cross-validating extracted figures against on-board GPS IoT telemetry streams to eliminate discrepancies.
3. The Outcome: Immediate Billing and 80% Reduction in Days Sales Outstanding (DSO)
Manifests reconcile and receive client digital sign-offs daily. Verified billing packages dispatch weekly without dispute cycles. Days Sales Outstanding (DSO) plummeted by over 80%, preserving substantial enterprise liquidity.
"Pairing AI OCR with machine telemetry collapses invoice verification windows from 25 days to 48 hours, permanently eliminating client operational disputes."
Automate difficult paperwork extraction and protect your operational liquidity with custom computer vision applications. Speak with Goodsyst’s industrial AI engineers via WhatsApp or Email today.