How Scanflow Delivers AI-Powered Label Capture for Bonfiglioli

Bonfiglioli’s label information capture process was manual and time-consuming, creating risks of data-entry errors, inconsistencies, and delays. Different gearmotor models use different label formats, making standardized and accurate data capture challenging. This could also impact inventory management and production/maintenance activities.

Bonfiglioli engaged Scanflow to bring an AI-powered label text capture solution to the process, letting operators scan a serial number and capture label information directly from an Android mobile or tablet application.

1. Manual Label Capture Was Slow and Error-Prone Capturing label information by hand was time-consuming and created risks of data-entry errors and inconsistencies.
2. 13 Different Label Formats Made Standardization Difficult Different gearmotor models use different label formats, making standardized and accurate data capture challenging across the product range.
3. Inconsistent Data Risked Inventory Accuracy Manual, format-inconsistent capture made it harder to maintain accurate, reliable inventory records.
4. Errors Could Affect Production and Maintenance Activities Data-entry errors and delays in label capture could carry through to affect downstream production and maintenance activities.

Scanflow proposed an AI-powered Label Text Capture solution that allows operators to scan a serial number and capture information from the gearmotor label using an Android mobile/tablet application. The solution is customized for 13 different label formats and extracts key information such as Customer Number, Product Number, Ratio, and Type. The operator can review the captured information, retake the scan if required, and continue to the next item.

• Serial Number ScanThe operator scans the gearmotor’s serial number using the Android mobile/tablet application to begin the capture.
• Label Text Capture Across 13 FormatsThe solution is customized to read 13 different gearmotor label formats, adapting to the specific model being scanned.
• Structured Field ExtractionKey information — Customer Number, Product Number, Ratio, and Type — is extracted directly from the label into structured fields.
• Operator Review & RetakeThe operator reviews the captured information on the device and can retake the scan if needed before continuing to the next item.
• Direct Database SyncCaptured information is returned as key-value pairs against the serial number and stored directly in Bonfiglioli’s database through APIs.

By replacing manual label transcription with a mobile scan-and-capture workflow, Bonfiglioli gains faster, more consistent label data capture across its full range of gearmotor label formats, written directly into its own database.

Key Outcomes

• Fewer data-entry errors — scan-and-capture replaces manual transcription of label information.
• Handles format variability — customized to 13 distinct gearmotor label formats in a single app.
• Structured, ready-to-use data — Customer Number, Product Number, Ratio, and Type captured consistently as key-value pairs.
• Operator control — review and retake before confirming, catching capture issues on the spot.
• Direct database integration — every scan is written straight to Bonfiglioli’s database via its own API.

Deployment Footprint

• Android mobile/tablet app — 16MP+ OIS camera, 8GB+ RAM, 32GB+ storage, Android 10+
• On-device capture and operator review, with no separate backend inference server described
• Data written directly to Bonfiglioli’s database through their provided API

Bonfiglioli strengthens gearmotor label accuracy with Scanflow, giving operators a single mobile workflow to capture and store label data consistently across every format.

By replacing manual label transcription with Scanflow’s AI-powered scan-and-capture workflow, Bonfiglioli now captures gearmotor label data accurately and consistently across all 13 label formats with every result flowing directly into its own database, ready for inventory and production use.

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