Uncovering In-Store Traffic Analytics with Intelligent Video Surveillance

Digital technology is enhancing and becoming intelligent with each passing day. Video analytics is one such example of intelligent and extensive analysis of data that understand visitor's navigation and interaction with the pages visited to return traffic and bounce rates.

Intelligent video surveillance can let businesses understand how customers interact with their sites. Furthermore, the insights gained through intelligent video analytics can help understand customer trends, interests, and demographics, retailers can make intelligent decisions about advertising and marketing for their brand.

Video Analytics solidifies your current understanding and strategies and generates extra revenue for your company.

History of Video Analytics

Americans were the first to instill CCTV cameras, between the 1960s and 1970s for monitoring the behavior of people within their premises.

Since the data monitoring each time grew, it became extremely difficult for the retail owners and managers to manage this overwhelming flow of data.

Later, the software engineers and data analysts developed Video Content Analytics (VCA). Video Analytics software had the ability, back then, to automatically analyze the surveillance footage with much efficiency and accuracy.

Identifying Non-utilized Space

A huge benefit of retail analytics is knowing what is going well and what needs perfection or alteration. Video Analytics can improve and optimize the areas which are strongly needed.

Nowadays, surveillance cameras are available with heat mapping software which gives complete visibility to the areas that gain traction and those that are left empty. Moreover, you may also know what to do with the type of data you receive. This type of data obtained from retail analytics is important to understand if items and signs are prompting people to move faster and engage them in specific areas.

This type of data obtained from retail analytics is important to understand if items and signs are prompting people to move faster and engage them in specific areas.

Real-Time Customer Behavior Data To Optimize Decisions

Retail product placements are essential for the sales and the journey of the shoppers across the retail floor. The data is critical as this can improve the foothold which sometimes merchandisers fail to evaluate. However, the merchandising point of sales is influenced by many factors which can be obtained from a few dedicated tools.

The in-store analytics merchandising module is a dedicated tool that helps retailers gain actionable insight into customers engaging with fixtures and product placements in-store every day. This gives transparency to the merchandise performance, uncover performing concepts, and inspire improvements and finally measure their real-time impact.

Enhancing Better Customer Service

The real-time analytic data can help companies in accelerating customer service. This enhancement can outshine the store from the others, maximize sales and customer loyalty.

strategizing the appropriate level of staffing can aid in delivering excellent service, be it difficult times, especially during peak times.

Further, the in-store analytics operations architecture can provide reliable customer traffic data that can ensure sufficient staffing and continuous optimized quality customer service.

Aid in Traffic and Liability Management

Video Analytics service providers have become active and understand the need for VA in the retail environment. Video Analytics systems such as the agent VI can easily measure and count feet in retail stores.

This count is analyzed allowing the retailers to visualize traffic patterns in store, determine product placements, and how the change impacts the sales. This also allows quick response and promotes more ROI in the retail environment.

Facial Recognition and Re-Identification For Robust Insights

Facial recognition is an important feature of Video Analytics that has been used in identifying any suspect for security reasons. However, this feature is persistently growing in applications, which leverages the video surveillance infrastructure & architecture to identify or detect faces.

Face recognition is increasingly becoming the key enabler to personalize the experience that also drives long-term sales and loyalty. With the real-time alerts, managers can deploy an associate that can engage with customers throughout the in-state journey. Furthermore, face recognition can enable automatic email follow-ups, encourage return visits, and continuous engagement.

Maximizing Current Technology Investment

Retailers might want to leverage the latest tools and technology used for investment purposes instead of standalone technologies. Retailers can combine the existing video surveillance infrastructure with the latest VA technology to derive business & operational intelligence. This integration can streamline a myriad of functions such from the marketing of merchandising to security posture and operations. 

To Conclude -

Those stores that have already integrated intelligent analytics solution within that offers advanced features such as the face recognition can not just improve their security posture, but enhance customer service, store layout, and data-driven marketing and merchandising strategies. With this, they gain a competitive edge without the need for extra resources yet collect more store traffic, navigation, customer data and further capitalize video surveillance investments.