A manufacturing company relied on manual review and data entry from production batch sheets to generate operational reports. This time-consuming process delayed access to critical production insights, limited real-time visibility into manufacturing performance, and slowed decision-making. The company needed a faster and more efficient way to digitize batch data and enable real-time analysis.
Infognana implemented its Cognitive Data Extractor (rannsCDE), an AI-powered document processing solution designed to automate the extraction of production data from batch sheets. Using intelligent document processing, structured field detection, unit normalization, and validation rules, rannsCDE automatically captured key production metrics from both handwritten and digital documents across multiple formats.
The solution transformed production records into structured, actionable data that could be analyzed in real time, eliminating the need for manual data entry and accelerating reporting workflows.
The implementation delivered 92% AI extraction accuracy while dramatically reducing reporting turnaround times from 2 days to just 3 hours. Faster access to production data enabled teams to improve quality control, enhance forecasting accuracy, and make more informed operational decisions.
By automating batch sheet processing, the manufacturer streamlined reporting workflows, improved operational visibility, and empowered teams to make faster, data-driven decisions.
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