IDentify-it Set to Launch New Products at Retail Technology Show

PRLog (Press Release) - Feb. 27, 2012 - Oxford, UK, February 27, 2012 - IDentify-It online, (Oxford, UK) the UK’s internet based store for innovative auto identification products will be demonstrating their range of auto identification products at the Retail Technology Show, on the 13th/14th March 2012 at Earls Court.

Passing comment, Richard Atkins, Commercial Director of IDentify-It said, “IDentify-It will be showcasing our auto identification product portfolio at the upcoming Retail Technology Show in London where we look forward to demonstrating our capabilities to new and existing clients.” He continued, “As we expand our range, to include industrial and OEM scan engines, it is important that we show our customers this leading edge technology, at the earliest opportunity”

iDentify-It Limited has launched a new range of industrial and OEM scan engines. The new range boasts a host of new features including highly compact integrated 2D scanning, high performance CMOS reading modules, PDA and ATM 1D integrated scanning and RS232 and USB supported 1D and 2D scanning functionality.

About the company, IDentify-It Limited is an Oxford based company that specializes in supplying a broad range of barcode scanning and labeling technologies. By providing products online IDentify-It Limited offers highly competitive prices to its customers and the freedom to purchase in their own time. With the backing and support of the Axicon Innovation Group, world renowned barcode verification experts, iDentify-it Limited aims to grow by developing innovative product ranges for the auto identification industry.

IDentify-It Limited encourages anyone with an interest in barcode scanners and scan engines to visit their website - www.identify-it.com.

Or please visit booth 758 on March 13th and 14th at the Retail Technology Show in Earls Court, London.

Contact:
Mathew Taylor
Director
Algorythm Solutions Ltd
10 Torkington St
Stamford
Lincolnshire PE9 2UY
+44 (0)773 403 2112
mtaylor@algorythmsolutions.com
http://www.algorythmsolutions.com

Photo:
http://www.prlog.org/11810223/1