Open Technologies: Solution for job analysis of points of sale

2019: Product development for smooth operation of cash desks

On August 5, 2019 the company Open Technologies reported that it together with Oracle developed the product ensuring smooth operation of cash desks in retail. Using methods of artificial intelligence service monitors work of each point of sale, establishes the reasons of failures and eliminates them. The product is based on Oracle Big Data Cloud Service.

Problems in operation of the cash equipment are analyzed with the help data: magazines of registration of transactions CRs, Wi-Fi/ Bluetooth- radars, a log from cash desks, video analytics systems security video surveillances, GSM/ LTE- registrars, infrared observation systems. The processed information defines existence of a system problem on point of sale in real time with the operational notification on approach of this event. The represented service predicts and reveals systematic problems at service of buyers on each point of sale trade of a point.

The reasons of formation of queue can be a little:

1. Insufficient number of open cash desks
2. Breakdowns of the cash equipment
3. Increase in delays at accomplishment online of transactions
4. Insufficient level of training of cashiers
5. Problems of marking of goods

The shop has an opportunity to monitor in real time operation of the cash equipment and cashiers, to take timely measures on elimination of problems. Service is not limited to improvement of work of points of sale, but sale \demand allows to optimize significantly a cashfloa at the expense of efficiency evaluation of sale of goods in categories cost \duration. This service is relevant first of all for network outlets with a small amount of cash desks in which failure even of one point of sale leads to deceleration of service of buyers.

Results of monitoring are reported in real time and is at once visualized in a schedule type. It should be noted that the offered service ensures safety of information processing in a cloud and saves all practices and analysis results in information systems of shop.