The use of retail cameras in the past was limited to one purpose only security. The footage obtained from the cameras was used when incidents had to be looked into. However, this is not the case today since cameras can do way beyond that.
With the use of Video analytics for retail stores, a retailer is able to convert CCTV camera footage into usable information on customer flow, movements, congested areas, queues, and operations within the stores. Video analytics is important in helping retailers know what is going on in their shops.
What Is Video Analytics For Retail Stores?
Video analytics utilises Artificial Intelligence in the analysis of footage obtained from compatible CCTV cameras. As opposed to manually watching the footage, the software is able to identify the pre-defined events, objects and movement patterns.
Some of the benefits of using video analytics for retail stores include information on:
- Customer footfall and peak visiting hours
- Movement patterns within the shop
- Queue length and waiting area
- Crowding and occupancy level
- Entry and exit movements
- Pre-defined and unusual security events
- Shop space and layout usage
Why Traditional CCTV is Not Enough Anymore
Traditional CCTV can be helpful when recording events, but a lot of videos might not even be viewed.
For instance, dozens of customers enter the shop daily, yet just by recording those events does not help the manager identify the time when the busiest period was or what areas received the most attention.
With AI-assisted video analytics, it becomes possible to analyse video information and detect the most valuable patterns. It allows going from the question “What happened?” to “What can we learn from it?”
Footfall Analysis
The knowledge about the number of visitors in the shop could give additional insight into the performance of the business.
Using Video analytics for retail stores, it becomes possible to track footfall information and even compare it between different times, days, or stores.
If there were more visitors in the evenings or on weekends, such information would be useful for planning the operation of the store.
Understand How Customers Navigate Your Retail Store
Every corner of your retail business attracts equal attention from customers.
With the help of video analytics technology, you can track customer behaviour to better understand movement patterns and learn which zones attract more traffic or not. The analysis of customer movement may be used for planning placement, layout of a store, placing promotional zones, etc.
As opposed to traditional methods based on observations only, with the use of video analytics, you will get precise data about customer movement in physical retail stores.
Manage Queues in a Better Way
A long queue can negatively affect customers' shopping experience.
Video analytics technology can be used to track the condition of a queue and even send a notification if the length of a queue exceeds certain parameters. It may allow you to react promptly, for example, open another checkout or assign more personnel.
Upgrading Existing Cameras For Business Purposes
One of the most obvious benefits of video analytics is the ability to get additional value from the current CCTV system infrastructure.
Based on camera compatibility, positioning, picture quality, and software requirements, retailers can get video analytics without replacing their surveillance systems.
This is a camera system capable of serving both security and business purposes.
Why Do Retailers Want To Go Beyond Security?
Today, modern retail enterprises require more insights on the situation occurring inside physical locations. Video analytics is an additional source of information for store managers.
Thanks to it, retailers can:
- Find out about peak hours and be prepared for extra customer traffic.
- Keep track of occupancy in stores and specific zones.
- Make better hiring decisions by analysing historical traffic data.
- Analyse customer behaviour and learn how locations are utilised.
- Manage queues and be ready for peak check-out periods.
- Compare multiple stores with traffic metrics.
- Provide security teams with event detection capabilities.
It will make it possible to concentrate not on video analysis itself, but on the most important events and trends.
From CCTV Footage to Retail Insights
The true benefit of Video Analytics For Retail Stores lies in converting visual data into data.
A camera can record that customers have entered a retail shop. Video analytics tools could provide insight into how many customers entered the shop, at what times traffic increased, where and how they moved around, and how their behavior changed during the day.
In combination with other sales data, these insights may be used by retailers to analyze store performance more effectively.
Conclusion
Want to get more out of your CCTV cameras? Our solution, Video analytics for retail stores, will help you convert your everyday footage into valuable insights for footfall analysis, queue management, space optimisation, security, and improved retail performance.
Reach out to our team today to learn more about how video analytics technology can help your business move beyond surveillance and get the most out of your cameras.
Frequently Asked Questions
What is Video Analytics For Retail Stores?
It makes use of AI technology in the software to examine videos taken by cameras compatible with this technology and derive information about traffic flow, movement, occupancy levels, queue lengths, and pre-determined events.
Can video analytics be used on current CCTV cameras at retail stores?
In many instances, yes. The compatibility will depend on aspects such as the type of camera, camera positioning, video clarity, networking and analytics needs.
How will video analytics improve the customer experience at retail stores?
This technology can assist in identifying busy times, determining queue lengths, helping in making staffing decisions and providing information on customer behaviour in various sections of a store.
Can retailers make use of video analytics technology in multiple stores?
Yes. In most instances, data from several locations can be aggregated through the platform, allowing businesses to compare their traffic and operations between the stores.
Is video analytics limited to just security purposes?
No. Although security is an important application of video analytics, there are other applications such as people counting, crowd monitoring, queuing management, etc.
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