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Big Data, Data Mining, and AI Arrive in the Warehouse Featured in Industrial Technology Magazine

Big Data, Data Mining, and AI Arrive in the Warehouse Featured in Industrial Technology Magazine

Carsten Funke, CEO of Picavi USA, the leader in pick-by-vision technology, recently discussed the increasing use of Big Data, Data Mining and AI (Artificial Intelligence) in the warehouse. According to Funke, using Big Data, Data Mining, AI, and Digital Twins warehouses managers can demonstrate to employees a commitment to inspire engagement, safety, and ergonomic well-being. Read the recent article in Industrial Technology magazine.

Funke shared, “Delivering composable smart manufacturing applications enables warehouse managers to scale deployments flexibly. Only with integrated warehouse systems’ capabilities, enterprise-level governance, and AI-based process optimization are these data now accessible. These data allow distribution centers to achieve Industry 4.0 smart operational goals of data-driven process optimization at enterprise scale. The combination of the connected worker and asset performance management applications only enhance established artificial intelligence capabilities.”

Google glasses move beyond operational accuracy to a cloud-based IoT and AI platform that supports high-speed data utilization generating predictive and prescriptive recommendations and reporting for enabling increased productivity and throughput. Warehouse performance applications range from predictive maintenance and process health and optimization, extending the length of warehouse employee tenure.

Industrial Technology is an international magazine focusing on machines, plants, components, automation, plastic, industry 4.0, and steel.

Current vs. Future State of Warehouse Picking

Whether warehouse or distribution center, the current state of picking remains problematic. These challenges grow more serious as picking migrates to e-retail fulfillment. The metrics and justification of Google Glasses, as a picking methodology, must include a constant, iterative, and continuous process improvement system. This requirement defines the future state of warehouse picking; only Picavi is ready to meet the future state today. 

About Picavi USA

Picavi USA Pick-by-Vision solution makes it possible to visually manage the picking process for goods in intralogistics in a consistent manner. Picavi’s Cockpit uses artificial intelligence (AI), machine learning (ML), and digital twin technology as a breakthrough innovation, maximizing productivity at warehouses and minimizing error rates. Only with this Smart Data technology are e-fulfillment solutions possible, transcending the initial value proposition of Google Glasses.

When wearing the smart glasses, warehouse workers have both hands free for primary tasks, including picking and packing goods. Augmented reality (AR) with context-based information makes work much more precise, predictable, and fun. Google Glasses have become an indispensable part of warehouse life. 

Picavi USA, based in Illinois, is a subsidiary of Picavi, headquartered in Germany. Call (312) 585-8312 to learn more about Picavi USA Pick-by-Vision. Follow on Twitter at @Picavi_GmbH.

Media Contact
Company Name: Picavi U.S., Inc.
Contact Person: Natalia Kopytynska
Email: Send Email
Phone: (312) 585-8312
Address:150 North Michigan Avenue, 35th floor
City: Chicago
State: Illinois
Country: United States
Website: https://picavi.com/en/company/


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