How Brick & Mortar is Leveraging Artificial Intelligence to Boost In-Store Sales
AI technology is infiltrating its way into many different sectors, including retail. Brick & mortar locations are beginning to partner with detection and recognition technology companies in order to take advantage of artificial intelligence and its powerful ability to provide pertinent business insights.
Facial and object recognition technology has proven to be extremely effective in this industry. Applications connected to cameras can now detect and recognize faces and objects quicker and more accurately than ever. Before artificial intelligence, businesses would have to collect information that was heavily subjected to human error.
For example, a business would rely on customers filling out a survey for feedback about their experience. Most of the time, the survey was tossed in the trash before customers even reached their car. By using object and facial recognition to gather customer feedback, the struggle in identifying common consumer patterns is no longer a concern.
Facial & Object Recognition Has Enhanced the Retail Industry: From Theft Prevention to In-Store Sales Optimization
Security in Retail : Connected Cameras Can Detect Threats in Seconds
AI recognition has the capacity to detect certain predefined suspects based on a programmed set of parameters. In order to boost security to the highest level, a blacklist can be formed to specifically search for and inform employees or guards if any member of this list is within the area. Additionally, a whitelist can be created in order to detect if any unrecognized person is in the vicinity.
When placed in the retail field, artificial intelligence can identify dangerous persons or weapons with cameras that incorporate facial and object recognition. Upgraded cameras can notice threats much faster and more accurately than the human eye, thus allowing for a heightened level of security.
Unlike security guards, AI has the vision capable of sifting and observing hidden weapons under clothing such as guns, knives, and bombs. This technology is the ultimate enhancement during an emergency since it can alert authorities and employees if there is a threat before they may even realize it. With these installed precautions, retail stores will be much safer and secure, ensuring a pleasant shopping experience free from harm.
Retail Theft Prevention is Ensured
Facial and object recognition is capable of preventing burglaries by detecting a shoplifter in action. Additionally, it can remember previous thieves and upon their return, notify security that a shoplifter is on the premises. Thieves can steal at any moment and escape quickly. Therefore, notifying security in a speedily and secretive manner is crucial to catch the criminal without delay.
While employees can focus on catering to customer needs, organizing the store and restocking the shelves, facial and object recognition will keep an eye out for any suspicious and fraudulent behavior.
Digital Signage Takes Marketing & UX to the Next Level
Digital signs that incorporate artificial intelligence can gather test results from simple A/B tests better than current algorithms. Using screens in stores for logos, discounts, email groups, call to action buttons, and more will help companies gather the data they need in order to generate more profit for their business.
Artificially intelligent signs will be able to provide highly accurate tracking of a viewer’s behavior and emotional reactions throughout the entire store. Facial expressions and body pose analysis will result in the business obtaining knowledge of which products are enjoyed and where.
Digital signage equipped with AI will be strategically placed to capture moments of the average consumer’s shopping experience. While a customer approaches a rack of clothing, AI will identify the customer’s interests and the time vested in their shopping visit, all recorded data will be outputted through a Digital Signage Analytics console, providing precious insights to Marketing teams.
AI signage has the capacity to switch or modify advertisements if the attention received by customers were not adequate. With this device, retail stores will be aware of areas particularly common to certain shoppers or areas shoppers never make it to at all.
Store Optimization to Increase Sales
One of the greatest challenges physical retail locations face is how they appeal to customers through the design of their store. As artificial intelligent systems record data, businesses will have easy access to real-time results of where customers are looking and spending most of their time.
Positive results portray a layout that is functioning favorably and can be used to inspire other branch locations aiming to increase sales on a macro-scale. Furthermore, unpopular attractions can result in the reorganization of the store layout to boost customer engagement and promote public interests.
Point of interest analytics can help stores learn their hotspot locations with the most traffic and sales. If an old product you need off the shelves isn’t selling, the data will suggest moving the old product to a more popular section of the store.
Quicker Self Checkout
Self checkout has been around for the past decade or so due to barcode recognition technology. Artificial intelligence does not need barcodes to remember objects and makes the checkout process quicker. Using a small camera, AI will quickly identify objects in a shopping cart or bag.
The old barcode scanners are unreliable and tricky for most customers to use. Self checkout integrated with object recognition will help retail stores by lowering the amount of employees needed and keeping checkout lines moving.
The emergence of ‘smart’ retail
Artificial intelligence allows businesses to learn about an audience and make decisions in the quickest of time frames. This unmatched efficiency has begun to transform the retail experience for consumers as well as the businesses that run them.
By integrating object and facial recognition, businesses will increase their customers’ shopping experiences, their profits, and their security. These systems can easily and cost effectively be installed on a small scale or large scale location level. Real-time analyses offer different retail locations the ability to check data with lightspeed results across different Edge devices.
Implementing AI in Retail Stores With KanduAI
KanduAI’s innovative technology enables brick & mortar retailers to analyze customer trends through AI technology on standard Edge devices. A quickly installed app enables retailers to identify who their shoppers are and seamlessly adapt their message to better fit their needs through KanduAI’s Point of Analytics for Retail.
KanduAI’s technology is built on privacy, security, and scalability and is capable of accommodating any enterprise requirement.
Interested to know more about KanduAI’s product? Book a Demo now.