The retail sector has felt the disruptive impact of e-commerce more than most. The inevitable costs of staffing, rent, maintenance and daily operations has left traditional brick-and-mortar stores struggling to stay dynamic and compete effectively with their more agile online counterparts.
Not only that, but the one competitive advantage of physical retail outlets – being able to provide a more personal customer experience – has also taken a hit in recent years, thanks to a lack of in-store and operational efficiency. Customers find it hard to locate the products they’re shopping for, are faced with longer queues for payment, and the most valuable ‘VIP’ customers are often overlooked.
KPMG’s «Global Retail Trends in 2018» research confirms:
«The customer experience is more important than ever as retailers are striving to differentiate themselves in a challenging and crowded market. Consequently, experience per square foot will be the new retail metric to measure success.»
The question, therefore, is how can stores optimise operations and improve the customer experience at this critical time?
Technology: at the heart of a better customer experience
One challenge that retailers often face is not having a way to collect accurate data and visualise it intelligently in order to make smarter business decisions about the shop floor. For many, reorganising store layout and installing additional equipment is not a realistic option – either because there is not the available space, or because of budgetary constraints.
In these circumstances, an effective solution could be artificial intelligence (AI) and deep learning. Together, these cutting-edge technologies create a video surveillance offering that can give retailers valuable insight into real-time operating conditions, to boost customer service and in-store competitive advantage.
Intelligent video technologies can be applied to retail in a multitude of ways. This includes:
Below, we explore each of these technologies in more detail.
Understanding the flow of customers is the key to optimising a store’s sales performance. And by using an accurate people-counting camera, stores can understand daily/weekly/monthly peak times, so that store managers can arrange staffing accordingly. What’s more, by layering this data over days, weeks and months, retailers can start to see customer flow trends. The data can be benchmarked against the store’s sales figures and its overheads, to inform future operational strategy, and help managers to optimise store profitability.
Furthermore, people counting can also help retail managers gain insights into the customer experience. One example would be to evaluate the conversion rate, which depends on the actual number of purchases divided by the number of people entering the store. Retailers can calculate this rate easily using people counting technology. Even better, people counting can also help stores determine the results of their marketing activities. Each marketing campaign can be quantified by people counting to measure return on investment. This is just one of several technologies that provide insight into consumer behaviour and optimal marketing practices.
Loyal high-end or VIP customers are enormously valuable to retailers, but service staff cannot always identify them immediately. This means that business operators miss valuable opportunities to extend a special service.
Intelligent facial recognition cameras, however, can provide unique opportunities that were previously unavailable. When customers opt to participate in VIP marketing promotions or other incentives, facial recognition technology will give retailers accurate tools to identify VIPs so staff can provide the right kind of service at the right time. There would be no more need for customers to show membership cards to receive special offers, for example. The whole shopping experience becomes more convenient and efficient.
Retailers usually want to know which products customers are most interested in, and which promotional products can attract customers to stop. With heat-mapping technology, retailers can see a colour-coded map of how much time shoppers spend in specific store areas. This can reveal hot spots and dead zones, as well as how many people actually shop for a specific product, versus those who just decide to pick it up as they casually walk by.
By layering this data over time, retailers can get insight into how to best place items in store, and how best to design the overall store layout.
One of the most useful heat-mapping tools available to the retail market is the fisheye camera. A single, compact camera can capture a panoramic high-definition image over an impressively wide area, while its heat-mapping function provides the colour-coded map. Because fewer cameras are needed than with most heat-mapping solutions, installation is cost-effective, making this the ideal solution for a location such as an independent shopping mall.
Waiting time can have a devastating effect on the in-store customer experience. If a customer sees a long queue in a store, they may stop shopping and go elsewhere. Worse still, if there is always a long queue every time they visit the store, they may avoid that store completely in future.
Queue detection solutions can help retailers manage their checkout lines, and the queue detection cameras are designed to monitor queues in real-time. The cameras count the number of people in each queue, and if there are too many people in each checkout line and customers still continue to flock to the checkout area it triggers an alarm to store management, who can open a new checkout.
Transaction records and surveillance videos can provide valuable information to reduce disputes at checkout. In the past, these are two completely independent data systems. In order to find the right video footage, the surveillance video must be retrieved manually. Therefore, collecting evidence around a transaction normally can take several hours, which is costly for the business.
Point of Sale (POS) integration, also known as POS Text Overlay, is uploading of transaction data to the video management system through the POS and encoding it with the video stream. This combination of retail transaction data with surveillance videos makes it easy to identify certain transactions to be reviewed for customer complaints, mainly used for post-retrieval when a transaction disputes occurs.