News, views and blog posts
Intelligent Toolbox Cabinet Inventory and Tracking Solution
PervasID and CribMaster, a Division of Stanley Black & Decker, Introduce The Most Accurate Intelligent Toolbox Cabinet Inventory and Tracking Solution Globally PervasID, the fast-growing technology company that designs and supplies world-leading, passive...
PervasID introduces battery free RFID tracking technology for improving efficiency and safety in the NHS at Theatres and Decontamination Conference 2020
Healthcare conference, organised by the NHS, is being held at the Ricoh Arena Coventry on 5th March Dr Sabesan Sitharanthapan, CEO and founder of PervasID, developers of the world’s most accurate battery-free RFID tracking technology, has been invited to speak at the...
PervasID showcases portfolio of the world’s most accurate passive RFID reader products at LogiMAT 2020
Fixed Passive RFID readers range from portal and wide area to secure cabinets. Come and visit us on booth 4C76 to find out more PervasID, developers and manufacturers of the world’s most accurate RAIN RFID fixed reader systems, will be showcasing Space Ranger, Portal...
Do fixed RFID reader systems overcome accuracy challenges in industrial manufacturing?
“No”, says Alastair Stewart. “They simply generate inaccurate data more quickly" The digitization of industrial manufacturing means that process-automation is becoming increasingly prevalent. It is data-dependent, and the smallest inaccuracies can have the most...
Transparency is needed between online and in store stock levels
A tall order without knowing what’s on hand, says Alastair Stewart of PervasID The retail industry has undergone a seismic change thanks to the digitization of shopping and a dramatic shift in purchasing trends. Not only do modern shoppers have low attention...
The true cost of inaccurate data
Alastair Stewart explains why only 100% accuracy in near-real time is acceptable Research has shown that inaccurate data costs businesses around 30% of their total revenue. Indeed, according to Gartner, the average cost of poor data quality on large corporates is...
