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Case Study: Retail Store AI Computer Vision Analytics

Written by Brianna Kolder | Dec 2, 2020 2:23:26 PM

AI computer vision technology has been proven effective in the retail industry to help improve the overall consumer experience. The team at V-Soft Digital recently worked with a leading gasoline and convenience retail chain to implement a computer vision solution to help them expand and retain customers. Learn more in the case study video above or check out the recap below. 

Computer Vision in Retail Settings

The client was interested in finding ways of better understanding the consumer shopping experience in order to help retain existing customers and attract new customers. With the use of computer vision technology, they were able to extract insights from camera feeds located throughout each store location. This comprehensive visibility provided a brand new look into the consumer experience and allowed leaders to analyze and grow the business, as well as enhance overall engagement based on consumer behaviors. 

Computer Vision Analytics Solution 

With the power of computer vision, management experienced many benefits for their business, including the ability to:

  1. Improve store layouts to increase purchases 
  2. Optimize item positioning throughout the stores
  3. Better personalize interactions with customers 
  4. Further, customize loyalty programs
  5. Better engage with frequent, VIP customers 

With this integrated computer vision solution in place by the  V-Soft Digital AI team, the client was able to see a 40% increase in overall customer satisfaction, as well a 28% average revenue growth per location due to strategic actions taken by management. 

Technologies Applied

  • Computer Vision 
  • TensorFlow 
  • OpenCV 
  • Amazon Kinesis 
  • Amazon SageMaker 

V-Soft Digital is helping solve business challenges every day. If you're interested in learning more about this computer vision solution or how the team at V-Soft Digital can help your business' technology journey.