META-aiviCase Study
Automated Self-Checkout Using AI
Customer
The customer is an international chain of doughnut stores originally founded in the United States.
Case
Enhancing Retail Checkout
In response to the growing demand for seamless in-store shopping experiences, the client sought to adopt an automated self-checkout process. Traditional manual checkout processes often result in long queues, negatively impacting the customer experience. By automating this process, the retailer aimed to improve efficiency and enhance the in-store experience by minimizing wait times for customers.
Challenge
Overcoming Checkout Limitations
Distinguishing between different doughnuts and pastries poses a challenge due to their similar appearances and varying prices, resulting in slower checkout times. Automating the checkout process for these items is further complicated by the absence of scannable barcodes, essential for ordinary self-checkout methods. Without clear item identification, automating scanning and payment becomes impractical, adding complexity to the checkout process.
Solution
Automated Self-Checkout with META-aivi
META-aivi AI technology automates self-checkout by using advanced classification and counting algorithms to swiftly detect items placed on the tray, streamlining the checkout process. The system ensures precise product identification and pricing without the need for barcodes or cashier handling. Integrated with the store’s existing POS system, META-aivi enhances retail efficiency, reducing wait times, simplifying checkout, and improving the customer experience.