Scan&Go Mobile Self-Checkout Case Study

1. Client Background

Scan&Go is a mobile self-checkout initiative delivered for a chain of supermarkets in Europe. The retailer wanted to make in-store shopping faster and more comfortable during peak hours, when traditional cashier lanes created long queues and customer frustration.

One Logic Soft partnered with the client to deliver an MVP that could scale across stores, adapt to different regions, and serve as an additional customer engagement channel through personalized offers and recommendations inside the app.

2. Challenge

Peak-hour queues increased customer complaints and weakened the in-store experience.

The existing checkout model could not increase throughput without adding more staff, lanes, or expensive self-service hardware.

The client needed a mobile-first alternative that also supports personalized recommendations and discounts during the shopping journey.

3. Solution and Approach

One Logic Soft delivered an MVP of Scan&Go, a mobile self-checkout flow where customers scan items, add them to a digital cart, and pay on the go.

Technology Stack: React Native, Java 17, PostgreSQL, HTML5, CSS3.
(Provided materials also reference QR and barcode scanning, plus Angular and Cordova mentioned in the MVP description.)

Project Approach: MVP-first delivery focused on scalability and localization readiness.
Team Composition: Not specified in the provided materials.

Feature Highlights:

• QR and barcode scanning for fast item capture
  
• Digital cart building optimized for in-store speed
  
• In-app checkout and payment on the go
  
• Intuitive UI designed for quick use in real store conditions
  
• Scalable rollout across multiple stores, including franchise-style expansion scenarios
  
• Localization and customization by country or region
  
• Personalized recommendations and discounts based on shopping preferences
  
• Loyalty programs and personalized offers delivered inside the app
  

4. Execution

Delivered an MVP around the core customer path: scan, cart, pay.

Implemented scanning and cart logic optimized for quick in-store interaction and minimal friction.

Designed the solution for multi-store expansion and regional customization to support rollout across different locations.

Added personalization capabilities to support promotions and loyalty engagement without interrupting the checkout flow.

5. Results and Business Impact

• Reduced wait time and checkout lines during peak hours
  
• Fewer complaints related to queues and slow checkout
  
• Lower customer attrition and fewer abandoned carts
  
• Reduced dependence on costly self-checkout machines and their maintenance
  
• More seamless, contactless in-store checkout experience
  
• Higher engagement through loyalty programs and personalized offers
  
• A scalable base for further product growth and regional expansion
  

6. Client Testimonial

“One Logic Soft delivered our Scan&Go self-checkout MVP with a clear, fast user flow that reduced peak-hour queues and improved the in-store experience. The team stayed practical, moved quickly, and built a strong foundation for personalized offers inside the app.”

7. Lessons Learned and Best Practices

A mobile checkout flow succeeds when the experience stays simple under real store conditions and remains fast even during peak load.

Early planning for rollout and localization reduces friction when expanding to new locations and markets.

Personalized offers work best when they add value without slowing down the checkout process.

8. Future Improvements & Features

To further enhance the Scan&Go mobile self-checkout MVP, the following improvements are recommended:

• Deeper POS and inventory synchronization for real-time pricing and product availability
  
• Optional validation scenarios to improve trust and loss prevention, depending on store policies
  
• Smarter loyalty targeting and personalized offers based on shopping behavior and purchase history