Facial Recognition Use Cases in Retail

1. Facial Recognition Use Cases in Retail Ensure Safety and Improve the Retail Experience with Facial Recognition

2. Introduction In the retail industry, facial recognition use cases have been widely implemented and accepted. In fact, the uses for this technology are many and diverse, ranging from theft prevention to brand enhancement. Like it or not, this is going to be a prospective technology that we'll all have to deal with sooner than later. So, here's the lowdown on facial recognition in retail. Facial recognition is set to be one of the most used “AI” technologies in the next few years. With the countless industries being disrupted by it, here are some of the best use cases for facial recognition in retail!

3. Innovative Facial Recognition Use Cases for Retailers 01 02 03 Self Service Shopping Shoppers Sentiments How long a consumer spends looking at a particular product Sales Alerts Personalized product suggestions Save time by skipping lines 04 05 Greeting Customers Bid them well to ensure customer satisfaction Automated Ads Personalized ads displayed for each customer

4. Innovative Facial Recognition Use Cases for Retailers 06 07 08 Impression Time Track how long a user spends looking at a particular product Before you buy, try You can try things out virtually before you buy Virtual Changing Room Customers virtually try on clothes is now possible with a new app 09 10 Avoiding Retail Crime Help reduce the amount of retail crime committed Employee Tracking Track employee status and access the store

5. Self Service Shopping O1

6. Self Service Shopping Self-service shopping, also known as assisted self-service or, more commonly, self- checkout, refers to a system in which customers scan and package their own items at checkout. Benefits of self-service systems • reduced staffing costs • increased shopping speed and capacity • positive consumer response

7. Shoppers Sentiments O2

8. Shoppers Sentiments Facial recognition allows retailers to identify their customers’ ages, gender and other basic information. In addition, this technology allows them to record users’ emotional qualities, how long they explored and gazed at a specific product, or what section of the store the user spent the most time on.

9. Sales Alerts O3

10. Sales Alerts Sales Alerts notify sales associates in real-time of approaching customers, so they can be prepared to provide immediate assistance. People will enjoy a personalized experience and receive trend information about the products that are most important to them.

11. Greeting Customers O4

12. Greeting Customers During the sale of a product, made possible by facial recognition, the name of the customer on the invoice is combined with the customer’s face attributes and stored in the database. When the same consumer returns to that location, facial recognition ensures that regular customers are serviced well.

13. Automated Ads O5

14. Automated Ads When someone walks into a retail store, the first thing the store looks for is the customer’s image and their age and gender. The next thing it does is to display ads directly on the entrance screen. These ads are personalized according to the person’s age, gender and facial analytics.

15. Impression Time O6

16. Impression Time This dynamic feature can track how long a user spends looking at products. Using facial recognition, the system looks for eye contact and estimate average impression time, then provides this information to clients so they can see what attracts people most.

17. Before you buy, try O7

18. Before you buy, try Especially for beauty products, many customers are interested to try it before they buy it. Retailers can use cutting-edge technology to provide informative virtual experience possible. For instance, customers will get a 3D live experience by displaying their faces to the camera. This experience will enhance the shopping skills to a new level, resulting in increased sales.

19. Virtual Changing Room O8

20. Virtual Changing Room A new tech that’s raising customer shopping standards! The Virtual Changing Room is a mobile app that begins with scanning your face and body for info about your purchasing interests, choices, and preferences. It makes ideas and recommendations in real-time as you shop. You may virtually try garments and see how they suit you with this app.

21. Avoiding Retail Crime O9

22. Avoiding Retail Crime Facial recognition is an effective tool in preventing retail crime, since the technology detects when a criminal’s face enters the store and gives an alarm to security personnel. This helps prevent loss and reduces retail crime.

23. Employee Tracking 1O

24. Employee Tracking With facial recognition, retailers can track employee status and access the store even if they do not have their ID cards. As a result, you have complete employee data schedules, and anyone attempting to enter the store using another employee ID will be tracked down. Facial recognition improves security and reduces the risk of internal theft.

25. Conclusion Retailers will have to leverage all possible tools, including facial recognition software, to engage with their customers and improve the overall customer experience. Even still, facial recognition technology leaders in the retail sector continue to explore the possibilities for this revolutionary solution. The use of facial recognition technology has the potential to increase business efficiencies, maintain greater levels of security, and enhance customer experience. If you are considering using facial recognition technologies in your business, contact Visionify.ai now for a demo. Original blog source: Facial Recognition Use Cases in Retail

26. THANKS Do you have any questions? info@visionify.ai +1 720-449-1124 https://visionify.ai CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, and infographics & images by Freepik