Facial Recognition Use Cases in Retail

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Facial Recognition Use Cases in Retail

• Ensure Safety and Improve the Retail Experience
  with Facial Recognition

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Introduction
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!

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Self Service Shopping
01
Shoppers Sentiments
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Sales Alerts
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Greeting Customers
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Automated Ads
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Innovative Facial RecognitionUse Cases for
Retailers

• Save time by skipping lines

• How long a consumer spends looking at a
  particular product

• Personalized product suggestions

• Bid them well to ensure customer satisfaction

• Personalized ads displayed for each customer

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Impression Time
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Before you buy, try
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Virtual Changing Room
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Avoiding Retail Crime
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Employee Tracking
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Innovative Facial RecognitionUse Cases for
Retailers

• Track how long a user spends looking at a
  particular product

• You can try things out virtually before you buy

• Customers virtually try on clothes is now
  possible with a new app

• Help reduce the amount of retail crime committed

• Track employee status and access the store

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Self Service Shopping
O1
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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

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Shoppers Sentiments
O2
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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.

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Sales Alerts
O3
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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.

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Greeting Customers
O4
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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 customers face
  attributes and stored in the database. When the
  same consumer returns to that location, facial
  recognition ensures that regular customers are
  serviced well.

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Automated Ads
O5
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Automated Ads

• When someone walks into a retail store, the first
  thing the store looks for is the customers 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 persons age, gender and facial analytics.

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Impression Time
O6
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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.

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Before you buy, try
O7
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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.

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Virtual Changing Room
O8
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Virtual Changing Room

• A new tech thats 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.

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Avoiding Retail Crime
O9
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Avoiding Retail Crime

• Facial recognition is an effective tool in
  preventing retail crime, since the technology
  detects when a criminals face enters the store
  and gives an alarm to security personnel. This
  helps prevent loss and reduces retail crime.

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Employee Tracking
1O
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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.

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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
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