POS Checkout

Worldwide, retail stores and their point-of-sale checkouts are as diverse as the consumers they serve.  However, they do share common characteristics.  Retailers must accurately and reliably collect item level transaction data while continually improving the operational efficiency of the checkout.  Operational efficiency translates into improving the speed of the checkout which in turn improves the consumers’ shopping experience while  reducing the costs associated with each item scanned. Despite these commonalities different retail checkout environments have different requirements for collecting item level data.  Checkout environments will vary based on the type of store, merchandise mixes, cultural or geographic differences, and consumer preferences.

Datalogic drives continual improvement in checkout efficiency by applying new technologies, revolutionary design form factors, and new developments in software platforms to the performance and operational efficiency of data collection at the POS checkout.


Counter Checkout

Small counter checkout environments are characterized by a small number (usually 1 to 3) of checkout counters...

Distributed Checkout

In-store distributed position checkout environments are characterized by checkout counters that can be found...

High Volume Checkout

High performance and high volume checkout environments are characterized by large numbers of checkout stands...

Queue Busting

When lanes are backed up, queue busters equiped with hand helds or mobile computers can scan ahead...