Pros

+  Offers a clear distinction between staff and customers

+  Offers the ability to understand staff and customer interactions, but in a limited manner

+ Can be carried in a pocket so more discreet

Cons

– Battery management

– Maintenance of devices

– May have additional operational costs

– Staff need to remember to carry the device

– Bluetooth/wireless tags may be prone to attenuation

Pros

+  Offers a clear distinction between staff and customers

+  Offers the ability to understand staff and customer interactions, but in a limited manner

+  Permits exclusions beyond just staff. Repeat visitors can be excluded (shoppers, service agents, delivery agents etc)

+ Requires little staff interaction

+ The algorithm is maintained, improved and deployed remotely

Cons

– Intensive system learning process

– Requires a defined and fully adopted uniform policy

– Additional hardware requirements

– May incur additional capex and opex

– Deviations from the defined policy need relearning

– Relatively new technology

The user deducts from the source data a value representing perceived staff movements through the supervised area

Pros

+  Little to no cost involved

+  Deductions can be as tailored as the user wishes

Cons

– Assumes non-automated processing of data and information

– Cumbersome and labour intensive

– Not particularly scaleable or suitable for organisations with large supervised zones

Software is programmed to deduct from the source data variable values

Pros

+  Little to no cost involved (once the logic has been developed)

+  Automated deductions can be customised by zone

Cons

– Changes can ne problematic if the data is being consumed by other systems, e.g. an API transaction takes place every 15 minutes, but the staff movement deduction happens at the end of the day. Or if data is being reviewed during the day