Laundry managers can now quickly self-deploy RFID textile identification technology that integrates seamlessly with their existing management or accounting software using a new solution from Datamars.

Laundry managers can now quickly self-deploy RFID textile identification technology that integrates seamlessly with their existing management or accounting software using a new solution from Datamars. Cloudburst is bespoke software that runs directly on Datamars’ RFID readers, so laundry operations can take advantage of all the efficiency and service improvement associated with the technology, without complex interfacing requirements or hidden development costs.

“The complexity of integrating an RFID system with existing laundry IT systems is often overlooked, leading to unforeseen development costs and poor reading performance,” Andrea Carbonetti, senior UHF product engineer and Cloudburst development team leader. “Laundries are turning to RFID solutions to help stand out among competitors and achieve performance benefits, but fitting such a system into their existing management or accounting software is a fundamental part of the RFID package to make the most of its potential. Cloudburst guarantees a perfect integration into existing software solutions in a matter of minutes.”

UHF RFID Laundrychips, designed to withstand the harshest environments of the industrial laundry sector, are proven to help laundries to efficiently control and assign laundry items and provide them with important competitive advantages. Cloudburst enables existing laundry management or accounting software to quickly and efficiently receive clean and pre-processed data from the RFID reading systems, so this useful information is ready for any reports or billing. In addition, the solution automatically configures the RFID parameters of each reading system, guaranteeing the best functioning that automates the management of tagged textiles.

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Source: Datamars launches integration software for self-deployed RFID system – Laundry and Cleaning News