— Let's imagine that every store salesperson, courier, production floor technician or warehouseman has at their disposal wearable devices, mobile computers or infrastructure technologies – such as vision systems or RFID – all supported by AI tools that increase their capabilities and operational reliability – Tom Bianculli, Chief Technology Officer at Zebra Technologies, tells Business Insider Polska. He adds that we are on the threshold of a revolution in “first-line” professions.
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— Modern frontline work means full connectivity between employee, customer, data and machines – all in real time. This gives companies full visibility into operations and allows them to automate routine tasks so people can focus on higher-value activities. We often talk about the impact of AI on office work, but it is on the front line – which constitutes approximately 80%. entire workforce – some of the most interesting and disruptive changes are taking place today – says Bianculli.
— We also know that many industries face staffing challenges – it is difficult to recruit, train and retain employees. In such conditions, AI helps fill employment gaps, increases the efficiency of current teams and improves retention. Artificial intelligence may also change the perception of frontline work, he adds.
“7.5 hours a week”
As a representative of Zebra Technologies says, logistics and trade companies often invest in AI solutions simply to save time.
— Both the Zebra Intelligent Operations report and other research conducted by British scientists show that employees save an average of 7.5 hours a week – which translates into approximately PLN 14,000. pounds (16,000 euros) of value per person per year thanks to the use of AI. In turn, in another global study, as many as 66 percent leaders in the EMEA region declare that AI has already significantly improved the productivity of their organizations, and 41 percent expects a return on investment in less than a year, says Tom Bianculli.
This is how logistics and trade companies use AI
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According to research by Zebra Technologies, in retail 27 percent companies already use AI to forecast demand, 24 percent for dynamic and ongoing pricing, and 20 percent to optimize inventory and costs. These numbers increase even more when we look at companies currently conducting AI pilots: inventory optimization – 51%. , cost optimization – 45 percent , pricing – 41 percent , demand forecasting – 37 percent
AI is also becoming a technology commonly used in logistics. Almost 40 percent of respondents use AI tools for demand forecasting, and over two-thirds implement or test them in the area of inventory management. Delivery and field operations processes are also benefiting from AI, with almost two-thirds of companies using the technology to predict estimated delivery times, and 57 percent uses it to plan routes and optimize journeys.
In the manufacturing sector, 28 percent companies use AI to optimize inventory, and 31 percent for demand forecasting. Manufacturers that have achieved significant improvement in quality control use a broad set of technologies – including 32 percent. , which pointed to AI. Among companies that still want to improve quality processes, as many as 55 percent declares the need to implement AI solutions.
— At the same time, there are very different levels of maturity in data management. Only 11 percent companies claim to have automated data management supported by AI insights throughout the organization. Most manufacturers indicate that structured data analysis takes place only in selected areas – 42%. — or remains limited and siled — 23 percent – says the CTO at Zebra Technologies.
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