Hanwha Wisenet Retail Insight uses security cameras to analyze customer behavior

This web tool uses free people counting apps, heat maps and queue management running on Wisenet Q and Wisenet X cameras to display analytics statistics, on a central control panel.

Hanwha Techwin has introduced a business intelligence app that allows retailers to better understand customer behavior and purchasing patterns.

Wisenet Retail Insight uses free people counting apps, heat maps and queue management running on cameras in the Wisenet Q and Wisenet X ranges (cameras with fixed lens or fisheye type) to show statistics of analytics, on a central control panel, along with other practical information such as, For example, weather reports.

With access from anywhere on the network, Retail Insight is a web application that consolidates the data captured by the three analytics applications available out of a total of 500 wisenet Q or X range cameras, presenting them in a customizable control panel.

Retailers can also leverage captured data to measure the impact promotions on the linear and other marketing activities may have on people who go to stores, as well as making better use of human resources to manage the peaks and flow valleys of customers passing through the boxes.

"With looming threats to revenue and profitability, retailers seek to improve productivity. As for the business intelligence that could be offered for operations, Marketing, marketing and store management, it is unlikely that metadata traditionally extracted from electronic point-of-sale systems (Epos) are sufficient for retailers to identify opportunities that allow them to increase productivity or improve the customer experience.", comments Uri Guterman, Product and marketing director at Hanwha Techwin Europe.

Retail Insight generates reports in PDF format, Excel, CSV or HTML. With the help of five screens with customizable tabs, users can see real-time updates on a wide range of activities, including the number of store visitors at any particular time of the day or cumulatively over a specific period of time, as well as data on queue congestion times and heat map information showing the busier areas of a store.

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