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Business Impact

  • Enhanced Customer Experience

  • Scalable and Flexible Application

  • Valuable and Smarter Insights

Customer Key Facts

  • Location : North America
  • Industry : Retail

Problem Context

The client is a leader in producing the highest quality CBD products. It has customized vending machines installed where the complete setup of its hardware, software, and integration was done by a third-party vendor. They wanted to own the software for these machines to make the entire solution package a licensed product with add on components like HD cameras to use it for facial recognition and license scanning.

Challenges

 

  • Limited understanding of the Vending Machine hardware
  • Difficulty in testing commands on a vending machine without having physical access to it.
  • Complexity in integrating different hardware components such as bar code scanners and payment processing devices in the VM
Challenges

Technologies Used

Amazon S3
Amazon RDS
AWS Lambda
AWS EC2
Amazon ECS

Built an intuitive UI for the client’s Vending Machines and a CRM database that can store product information and customer interactions

Solution

Quantiphi developed an intuitive user interface, a middleware layer as well as a CRM database that stores product information and customer interactions in the vending machine. They integrated technologies such as Computer Vision enabled age verification, card scanner, and barcode scanner in the vending machine.

Result

  • Enabled the client to make desired changes in the vending machine system, thereby improving customer experience
  • Built a CRM database for analysis and reporting purposes

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