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DAS ran its operations on an aging on-premises legacy order management system, which experienced frequent outages and required regular maintenance and updates at considerable expense. The company's business processes also involved numerous manual steps that required significant staff time.

Established in 1854, Berendsen is a European textile service business with 127 locations in 15 countries throughout Europe. Berendsen provides service solutions to lease, source, clean and maintain textiles used in various settings, including healthcare, washroom, hotel, restaurant, and cleanroom. Since 1996, Berendsen has focused on providing services for the healthcare and industrial areas, becoming a leader in their field. Supplying hospitals, retirement homes and care facilities with linens represents a significant part of the daily business for one Berendsen facility in Germany. This facility receives tons of used linens each day. The contaminated linens, shipped in laundry bags and roll cages, are weighed rather than counted to protect workers from the risk of infection. Once the linens are washed, they are manually sorted, giving Berendsen insight into what they’ve received and how much manpower they will need to process the laundry. Berendsen needed a solution that allowed for the bulk reading of contaminated linens, enabling them to better plan the manpower needed to finish each job. They also wanted a solution that would scale in the future to meet other project needs. In the past, RAIN RFID solutions had been implemented in other Berendsen facilities to give better insights into laundry care. As bulk reading was the number one priority of the new system, a RAIN RFID solution, powered by Impinj technology, was implemented to analyze the bulk shipments arriving at the facility.

With greater market demand for food safety, traceability is receiving increasingly more attention in the food and beverage industry as well as the packaging industry. One of the world's leading providers of beverage containers required a system to identify bar codes and alphanumeric characters on ink-jet-printed labels at a run rate of 7 units and minimum 99.9% accuracy. Since there were few engineers in the factory, the customer sought to implement a reliable system with an easy-to-use GUI for workers with a less technical background.