Visionify

Facial Recognition Use Cases in Retail

facial recognition use cases in retail industry

You can get the most significant demographic statistics about your clients and fix the ideal product placements with facial recognition technologies. When the device detects a customer, the merchant can examine their activity in the store by tracking their movements. Businesses can use facial recognition can be used to provide tailored, contextual experiences across digital and physical channels for customers. According to Verified Market Research, Facial Recognition Market is projected to reach USD 10.2 Billion by 2028.

Facial recognition is slowly making its way into our lives. Of course, many of us are familiar with Facebook’s tagging feature, which uses facial recognition to scan all the photos on your Facebook account and find the ones containing your friends. But what you may not know is that this technology isn’t just for social media or entertainment use anymore. It has become increasingly important within business. Ordinary businesses like the coffee shop down the street are getting on board, and they use facial recognition not only to watch their customers but people on the streets as well. Here, we look at how this technology could be used in retail use cases.

Innovative Facial Recognition Use Cases for Retailers

  1. Self Service Shopping
  2. Shoppers Sentiments
  3. Sales Alerts
  4. Greeting Customers
  5. Automated Ads
  6. Impression Time
  7. Before you buy, give it a shot
  8. App for a Virtual Changing Room
  9. Avoiding Retail Crime
  10. Employee Tracking

Self Service Shopping

Self-service is a system mainly encouraged by eCommerce, in which users can browse and add things to their carts, then check out. However, self-service is becoming more popular in recent technological advancements. By merging current tools with actual storefronts, businesses make self-service easier for their customers. In addition, face recognition is used by companies to provide a fully automated and self-service shopping experience.

Source: Dutch Review

Shoppers Sentiments

Every shopping website can establish comprehensive customer data such as gender and age, but facial recognition allows them to obtain far more. For example, it can 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. It may also detect whether the user is pleased, dissatisfied, or perplexed and determine total satisfaction during the checkout process. Retailers can employ this data to improve their store displays, promotions and identify any flaws in the user’s face that led him to be disappointed.

Source: gigasource

Sales Alerts

Facial recognition recognizes the user’s face via a camera mounted at the store’s entrance and alerts the sales associate based on the user’s preferences, transaction history, and demographic information. Sales associates use this data to provide personalized product suggestions that provide users with the most outstanding possible experience and purchase options.

Greeting Customers

When a product is purchased, the name on the invoice is combined with the customer’s face attributes and stored in the database. When the same consumer returns to the same store, Face ID and Verification scan their face and bid them well. To ensure that regular customers are serviced well.

Source thestar

Automated Ads

The retail store’s entrance camera captures customer images and displays advertisements. Those were personalized ads displayed based on the user’s age and gender and facial analytics. The customer responds to the ad and is directed to a row of products via an on-screen message.

Source: ezadtv

Impression Time

Clients have requested this dynamic capability feature to analyze user perceptions of specific products. Facial recognition-powered cameras installed around the store can track how long a user spends looking at a particular product. To determine whether a product is appealing or not, the algorithm estimates average impression time.

Source: aclu

Before you buy, give it a shot

Everything nowadays is done online. We can use cutting-edge technology to integrate facial recognition with virtual and augmented reality to continue providing clients with the most satisfactory virtual experience possible. For instance, retailers offer the best virtual assistant, enabling customers to try beauty products virtually. Moreover, 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.

Source: Adobe Stock

App for a Virtual Changing Room

It’s a new technology that’s raising customer shopping standards. This program begins by scanning the customer’s face and body for info about their purchasing interests, preferences, and choices. Makes ideas and recommendations in real-time. Customers may virtually try garments and see how they suit them with this app.

Source: InEcommerce

Avoiding Retail Crime

Currently, facial recognition is aiding police departments in various ways, such as when criminals plan a robbery in a retail store or enter the store. His face is detected, and an alarm is given to security personnel, preventing loss and reducing retail crime.

Source: komonews

Employee Tracking

Every retail company has a large number of employees working in various shifts. 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.

Conclusion 

The retail industry is continuously surprised by revolutionary technologies that enhance the consumer experience in retail stores. For developing software systems that guide humans in various sectors, Facial Recognition employs the most up-to-date machine learning models. To discover challenges and resolve them accordingly. Facial recognition use cases in retail tie into the concept of purpose-driven interfaces, allowing for frictionless consumption of goods and services. Ultimately, this use case will help revolutionize and standardize customer self-service and support functions throughout the retail industry.

Facial recognition solutions from Visionify are adequate, with high detection accuracy and processing speed. We’ve been involved with biometric security for a long time. Our new algorithms will give greater accuracy in a wide range of situations, as well as an end-to-end solution for 360-degree people monitoring on cameras. In addition, our technologies enable businesses to authenticate their customers’ and workers’ identities on video with a 98% accuracy rate. Get in touch with us today for a demo!

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