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Interview
Toyota in Japan uses smart data capture on tablets to ensure every part on the production line is traceable. Operators scan QR codes on components as they are installed; the system checks against digital work instructions and records which part went into which vehicle. This reduces on-site workload, cuts costs, and gives full traceability for safety and recall scenarios.
At Artivion, a global manufacturer of cardiac and vascular medical devices, teams use smartphone-based scanning to accurately capture product barcodes and perform fast, reliable consignment inventory counts. By replacing manual entry with highperformance scanning, they’ ve strengthened traceability, reduced errors, and ensured high-value, highly regulated devices are always accounted for throughout production, storage, and clinical handling.
Elektro-Material in Switzerland integrated smart data capture into their mobile ordering and stock-management workflows, replacing an open-source scanner. The result was five times faster scanning and more than 95,000 scans in the first three months- significantly accelerating replenishment and improving technician productivity.
For any manufacturers concerned about the cybersecurity side of smart data capture, what protection does Scandit have in place? Security is built into our platform from the ground up. Most scanning and image processing happen directly on the device rather than in the cloud. That alone removes a major security risk.
When customers do choose to transmit data, for example, into their ERP or analytics systems, it’ s encrypted in transit. Scandit is ISO 27001:2022 certified, follows a secure development lifecycle, and complies with all major privacy regulations, including GDPR and CCPA.
The bottom line is that manufacturers stay in full control of what data is captured and where it flows. Smart data capture strengthens operational visibility without compromising security.
How is sustainability or ESG reporting driving demand for better data capture? Regulations like the EU’ s CSRD require manufacturers to provide far more granular, auditable information on waste, material flows, and supply-chain impacts. You can only do that with accurate, real-time data from the frontline, and many manufacturers are discovering that their existing capture methods simply aren’ t robust enough.
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