RETAIL ANALYTICS is the solution to reduce inventory cost and shoplifting ,and for marketing integrated with POS system ,through measuring and analyzing the customer’s gender, age, residence time, traffic pattern and etc, in real time via face recognition and tracking.
.
Our Solution, Metafacev.2.0 measures the number of visits, gender, ages and the residence time through the Image Recognition, and save/analyze them to utilize to marketing data .
Customer Face Recognition, Detection and Tracking
Our technology enables users to recognize and track customers on a real-time basis with the use of a single, strategically placed camera per designated area. In addition to its ability to identify and track specific customers, our software is able to detect, track and categorize a myriad of other human factors, such as age and gender, for purposes of advertising and retail-related statistical analysis. Unlike other face recognition products currently on the market, our software is able to simultaneously recognize, detect and track multiple individuals at multiple locations, all on a real-time basis.
Customer Behavior, Detection and Analysis
In addition to its ability to simultaneously identify and track individual and multiple customers, our software is a powerful analytical tool which enables users to recognize and statistically track,categorize and analyze, on a real-time basis, individual and aggregate customer behavioral characteristics, tendencies and patterns. This invaluable information enables users to better understand and to improve areas such as store location within a multi-store commercial facility,store layout, in-store merchandise placement, etc. Similar to its face recognition and tracking capabilities, our software Is able to simultaneously recognize, detect and track multiple customer behaviors and actions at multiple locations, all on a real-time basis.
Object Recognition, Detection and Analysis
Our software’s recognition and tracking capabilities extend beyond individuals and can also be applied to inanimate (i.e., non-human) objects. As a result, users of our technology are able to also recognize, detect, track and analyze, on a real-time, multiple location basis, numerous other data points relevant to retail analytics and operations. With access to this type of data, retailers are able to better understand their existing customer base as well as local prevailing market trends, thus allowing for the development of more effectively targeted advertising and marketing campaigns.
Creating data after real-time analysis of customer’s gender, age, staying time through face recognition
[AFTER SOLUTION APPLICATION]
POS Linkage Analysis
– Secure the good quality of customer class data about customers
– Planning for Regional, seasonal stock
– Develop new items according to the buying patterns
– Planning Marketing/Events depends on the merchandises
Store Analysis Solution
-Analyze the number of visitors, gender, ages, faces and residence time, and make data.
– Through the store analysis & reporting, utilize it to innovative marketing
