Improving Retail Checkouts with ScanWatch A Case Study

Enhancing Retail Checkouts: ScanWatch Case Study

In this case study, we explore how AI-powered ScanWatch, in conjunction with advanced MLOps services provided by EasyFlow, revolutionized the retail industry by transforming checkout processes.

Discover how leading retail chains harnessed the power of ScanWatch’s real-time visual inspections and automated product recognition to enhance efficiency, prevent losses, and elevate the overall customer experience at checkouts.

Let’s dive into the success story of ScanWatch and its impact on retail operations.

Background

A prominent retail chain, operating multiple branches, faced significant challenges at their checkout counters.

Checkout losses, mis-scanning incidents, and manual product selection resulted in operational inefficiencies and compromised customer experience.

To tackle these issues head-on, they sought a tailored solution that would integrate seamlessly with their existing checkout hardware while enhancing retail security and optimizing operational processes.

The Problem

The leading retail chain needed a sophisticated and customized solution to address their specific pain points related to checkout losses, mis-scanning incidents, and inefficient manual product selection at the checkout counters.

Solution

In partnership with EasyFlow, a leading provider of MLOps services and solutions, the retail chain embarked on a collaborative journey to develop a powerful solution from scratch.

Leveraging EasyFlow’s experienced team, the development process began by conducting a thorough analysis of the client’s requirements and operational challenges.

Developing ScanWatch

EasyFlow’s team of experts used their extensive expertise in MLOps to design and develop ScanWatch, a state-of-the-art retail software suite tailored to the unique needs of the retail chain.

The solution seamlessly integrated with the existing checkout hardware and leveraged the inbuilt checkout register cameras for instant food recognition and products in general of scanned items.

YouTube video
ScanWatch’s AI-Powered Solution automates product recognition, streamlining checkout experiences. No more manual item selection from lists, and instant notifications for scanning discrepancies ensure a seamless retail operation.

MLOps Services by EasyFlow

Throughout the development process, EasyFlow’s MLOps services played a pivotal role in ensuring a seamless deployment and continuous support for ScanWatch.

MLOps best practices were implemented to ensure data accuracy, seamless updates, and optimal performance.

Results and Benefits

  1. Streamlined Checkouts:
    With ScanWatch’s automated product recognition, the need for manual selection from a list was eliminated, leading to faster and more efficient checkouts.
  2. Prevention of Losses:
    Real-time visual inspections detected scanning discrepancies, preventing losses from mis-scanning incidents and checkout fraud.
  3. Enhanced Customer Experience:
    The automation of the checkout process improved the overall customer experience, reducing wait times, and ensuring smooth transactions.
  4. Increased Efficiency:
    Checkout transactions involving unwrapped products were expedited, leading to increased efficiency and reduced dependency on employee assistance.
  5. Revenue Optimization:
    By addressing mis-scanning incidents and optimizing checkout processes, ScanWatch significantly increased sales revenue for the retail chain.
YouTube video
ScanWatch checks every scanned item at checkout counters. It makes sure the product matches its picture. If there’s a difference, it alerts the security officer.

Conclusion

The successful implementation of ScanWatch, powered by AI and MLOps services from EasyFlow, has transformed the checkout processes for leading players in the retail industry.

The customized solution addressed their specific challenges, optimizing efficiency, preventing losses, and elevating customer satisfaction.

The partnership between the retail chains and EasyFlow continues to drive innovation and growth, solidifying their position as trailblazers in the competitive retail market.


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Vejune-Krasinskiene

Vėjūnė Krašinskienė
Chief Operating Officer

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