Tag: Techlancers

How Self-Checkout Works in Mobile Apps

In mobile apps, self-checkout enables customers to use their smartphones to scan items as they shop, add them to a virtual cart, and make payments directly within the app. Some systems use QR codes, barcodes, or RFID technology for item scanning. Once payment is completed, the app generates a digital receipt, and customers can leave the store without standing in line for bill payments.

Traditional Checkout Vs Self-Checkout

Category	Traditional Checkout	Self-Checkout
Cashier Oversight	Cashiers visually monitor transactions to prevent theft	Direct human observation reduces theft risk.
Theft Risks	Lower, as cashiers verify scanned items & pricing	Human verification of items and pricing reduces errors and fraud.
AI-Based Monitoring	Not applicable	No automated AI-based fraud detection.
Weight Verification	Not common	Typically not used for item verification.
Random Audits	Cashiers may manually verify high-value purchases	Manual checks of high-value items for fraud prevention.
Payment Security	PCI-compliant payment terminals	Standard payment security measures.
User Authentication	Not required	No user authentication required.
RFID/NFC Technology	Rarely used	Limited use of RFID/NFC technologies.
Self-Checkout
Cashier Oversight	No cashier oversight, increasing risk of theft	Lack of direct human observation increases theft risk.
Theft Risks	Higher risk of “skip-scanning” (scanning cheap items…)	Vulnerable to “skip-scanning” and other fraud methods.
AI-Based Monitoring	AI-powered fraud detection flags unusual behaviors	Automated fraud detection using AI algorithms.
Weight Verification	Some systems use weight sensors to match scanned items	Weight sensors verify scanned items to prevent fraud.
Random Audits	Systems can trigger random manual checks for fraud prevention	Automated or triggered random audits for fraud prevention.
Payment Security	End-to-end encryption, tokenized payments, and NFC security	Advanced security measures for secure transactions.
User Authentication	Some apps use biometric authentication (Face ID, …)	Biometric authentication enhances security.
RFID/NFC Technology	Can integrate RFID/NFC for automatic scanning & theft prevention	Potential for automated scanning and theft prevention using RFID/NFC.

 

Benefits of Self-Checkout for Retailers

Here are top 7 reasons we recommend businesses go for selfcheckout development:

1.      Faster Transactions

Self-checkouts reduce long queues and wait times. Customers at dining points, grocery stores and retail chains skip long queues – which directly improves customer experience.

2.      Lower Labor Costs

Because self-checkouts inherently don’t require external assistance, let’s say, from cashiers and representatives, more staff can focus on sensitive areas like inventory and complaint resolution.

3.      Increased Sales

Faster checkouts encourage impulse purchases and reduce cart abandonment, while more customers complete transactions without frustration.

4.      Space Efficiency

Self-checkout kiosks and mobile-based solutions take up significantly less space than traditional cashier lanes so stores become space-efficient and accommodate more shoppers.

5.      Customer Convenience

Shoppers enjoy greater autonomy with quicker transactions, eliminate the need to wait in long lines which is perfect for customers who prefer a hassle-free, self-service experience.

6.      Data Collection & Personalization

Mobile self-checkout solutions help retailers track purchasing behavior so they can offer personalized recommendations, targeted promotions, and loyalty rewards in real-time.

7.      Theft Prevention with AI & RFID

AI-powered self-checkout systems use computer vision, object detection, weight sensors, and RFID technology to detect un-scanned items or suspicious behavior to minimize shrinkage and theft.

Approaches to Implementing Self-Checkout in Mobile Apps

There are five common approaches to implementing self-checkout systems via mobile applications. These approaches use diverse technologies and are suitable for different store types and customer experience goals.

1.      Barcode Scanning-Based Self-Checkout

Barcode scanning is the simplest approach to implement self-checkout. A customer uses the retailer’s mobile application to scan product barcodes during/after shopping. This app adds scanned items to a virtual cart. At checkout, customers pay directly through the app using digital payment methods. Such apps typically generate digital receipts before or after the payment and is sometimes required to be shown at an exit.

Pros

• Barcode-based self-checkout is Simple and cost-effective for retailers to implement.
• It works well in grocery stores, convenience stores, and retail shops because of the ease to integrate with existing POS and inventory systems.

Cons

• Requires barcode availability on all products.
• Customers may struggle with scanning certain items (e.g., loose produce).

2.      QR Code-Based Self-Checkout

Another approach to implementing mobile-based self-checkout systems is to use a QR code – either during entry, or place them on product shelves. When the shopping session starts, the shoppers can scan item-specific QR codes or enter product details manually in the app. Shoppers pay through the app and leave with a digital receipt.

Pros

• QR-Based experiences can be made completely checkout-free in small retail spaces – no hassle, no delays and no rush.

Cons

• Manual QR code scanning can be slower than barcode scanning. That’s why it’s not ideal for large inventories with many products.

3.      RFID-Based Self-Checkout

Retailers attach RFID tags to products. When customers place items in a designated RFID-enabled self-checkout zone, the system automatically detects all items, adds them to the app cart, and allows payment.

Pros

• RFID-based self-checkouts need no manual scanning – that’s why they are fast.
• The overall setup reduces fraud by detecting unscanned items – in time.
• RFID-based self-checkouts are ideal for fashion retail, electronics stores, and libraries.

Cons

• RFID-based checkouts are expensive to implement: the tags, readers and overall infrastructure take human effort too. (RFID tags, readers, and infrastructure).
• Not all products may be compatible with RFID.

4.      AI-Powered & Camera-Based Self-Checkout

Some retail chains also use mobile apps that use AI-powered cameras to recognize items in the cart. These AI-powered cameras are even used at self-checkout stations – so customers can detect items either way.

Pros

• AI-Powered cameras eliminate the need for scanning product barcodes and using RFID tags
• It presents a highly automated and frictionless experience that is suitable for cafeterias, smart vending machines, and autonomous stores.

Cons

• Expensive to develop and maintain.
• Requires advanced AI and object recognition technology.

5.      Fully Autonomous Stores (Amazon Go-Style) – Just Walk Out Technology

In stores where just-walk-out technology by Amazon is implemented, customers enter using a mobile app linked to their payment method. AI-powered cameras and sensors then track the items they pick up. Upon exit, the system automatically charges the customer without requiring manual checkout, as well a top mobile app development company in dubai can bring similar innovative solutions to businesses.

Pros

• It’s real effortless – no checkout process ideal for high-traffic areas like airports and convenience stores.

Cons

• Requires a significant investment in AI, sensors, and infrastructure.
• Serious privacy concerns due to continuous surveillance.

So, which self-checkout approach is best for your business?

As a business analyst serving clients at Techlancers Middle East for 3 years, I have witnessed that:

• small and mid-sized retailers benefit from barcode scanning or QR-based solutions as they are cost-effective and easy to implement.
• large retailers can afford RFID or AI-powered solutions so why not use it to improve efficiency and reduce fraud.
• premium stores implement Just-Walk-Out technology for the best customer experience and they have high investment.

However, what kind of self checkout software and equipment will suit your particular business highly depends on the nature of your operations, the niche, the rush hours. I would recommend sharing your business requirements with a self checkout software development company in Dubai and working out a thorough feasibility analysis before investing in the discovery or UX stage.

Build a Self-Checkout for Your Business

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6 Best Practices for Self-Checkout Development

Consider these 6 best practices to develop an efficient and user-friendly self-checkout system mobile app:

Optimize Camera Functions for Accurate Product Recognition

For a smooth self-checkout experience, the camera needs to work efficiently under different conditions.

• AI and computer vision help recognize products without barcodes, which is essential for fresh produce.
• Barcode and QR code scanning should be fast and accurate, even in poor lighting.
• To assist users, UI overlays, haptic feedback, and clear instructions can guide them if a scan fails. Then, multiple scanning modes, like batch scanning, speed up the process when checking out multiple items at once.

Tech Stack: OpenCV, Google ML Kit, Amazon Rekognition

 

Create a Responsive & Intuitive UI

A self-checkout UI should be simple and fast, with minimal steps to complete a purchase.

• Large, easy-to-tap buttons for scanning, payment, and editing improve usability.
• Real-time cart updates help users track their scanned items, while undo and edit options let them make changes before paying.
• If something goes wrong, clear error messages like “Barcode not detected – try again” should guide users.

Tech Stack: React Native, Flutter, Swift (iOS), Kotlin (Android)

 

Incorporate Digital Payment Methods for Seamless Checkout

Offering multiple payment options like Apple Pay, Google Pay, credit cards, and digital wallets makes checkout quick and convenient.

• One-tap payments with saved cards speed things up even more.
• Features like PCI DSS compliance, tokenization, and biometric authentication (Face ID, fingerprint) protect transactions.
• For users with unstable internet, an offline payment mode can queue transactions until connectivity is restored.

Tech Stack: Stripe, PayPal SDK, Square API, Razorpay

 

Enhance Fraud Prevention & Security

Preventing fraud is key in self-checkouts, and AI-powered models can detect unusual behavior, such as missing scans or checkout manipulation.

• RFID or NFC verification adds an extra layer of security, especially for high-value items. R
• andomized manual checks on flagged transactions can deter theft.
• To protect sensitive data, all transactions should be encrypted end-to-end.

Tech Stack: AWS Cognito, Firebase Authentication, Azure Security

 

Ensure Seamless Backend Integration

A self-checkout system must sync in real-time with POS and inventory management to update stock levels instantly.

• Omnichannel integration ensures users have a consistent experience whether shopping in-store, online, or via mobile.
• An API-first approach makes it easy to integrate with third-party systems, keeping the platform scalable.

Tech Stack: GraphQL, RESTful APIs, Firebase Firestore, AWS Lambda

 

Improve Customer Experience & Engagement

A great self-checkout doesn’t just make payments easier—it also enhances the customer experience. For example:

• Integrating a loyalty program allows users to earn and redeem rewards automatically.
• Personalized offers based on purchase history can increase engagement.
• Accessibility features like voice commands and gesture support make checkout even more user-friendly.
• Lastly, adding real-time chat support or self-help guides helps customers resolve issues quickly.

Tech Stack: Twilio (chat support), Google Dialogflow (voice commands), Firebase Analytics (personalization)

Technology Stack for Developing Self-Checkout Software

Frontend Development
Frameworks	React Native, Flutter, Swift (iOS), Kotlin (Android)	Cross-platform or native development options
UI/UX	Figma, Adobe XD	Design and prototyping tools
Camera & Scanning	Google ML Kit, OpenCV, ZXing	Barcode/QR scanning, image processing
Backend Engineering
Programming Languages	Node.js, Python (Django/FastAPI), Java (Spring Boot)	Server-side logic and API development
Database	PostgreSQL, Firebase Firestore, MongoDB	Data storage and retrieval, real-time synchronization
Inventory Management	SAP, Odoo, Zoho Inventory	Integration with existing inventory systems
Payment Processing
Payment Gateways	Stripe, PayPal, Square, Razorpay	Online payment processing
NFC Payments	Apple Pay, Google Pay	Contactless payment options
Security & Encryption	PCI DSS Compliance, Tokenization, OAuth2, JWT Authentication	Secure transactions and user authentication
Automation
Computer Vision	TensorFlow, OpenCV, Amazon Rekognition	Product recognition, image analysis
Fraud Detection	AWS Fraud Detector, Azure AI, Google Cloud AI	Identifying and preventing fraudulent activities
Deployment
Cloud Providers	AWS (Lambda, S3, EC2), Google Cloud, Firebase	Cloud infrastructure for hosting and scalability
CI/CD	GitHub Actions, Jenkins, GitLab CI/CD	Automated build, testing, and deployment processes

 

Step-by-Step Guide to Developing a Self-Checkout App for a Retail Store

Here’s a quick rundown with an insider look of how we develop customized self-checkout software at Techlancers.

 

Step 1: Define Business Requirements & User Flow

A business analyst connects with business stakeholders and decision-makers like you to understand the key requirements, goals, budget, design vision and so on. Then we ask them to decide if their mobile application/software will be store-specific or sync for multiple locations. Based on their answers, we recommend them options and ask them to discuss their preferences as per the budget allocations from:

• Barcode/QR scanning
• AI-based product recognition (optional)
• Real-time cart updates & modifications
• Digital payments (multiple options)
• Receipt generation & loyalty program integration

 

Step 2: Build the Backend & API Integration

Once designated to the design and development teams, developers start working on the client-side prototype. After this approval, the backend, which is the server-side starts with architecture.

Database developers set up a database management system to store inventory, pricing, and user transactions. Then the backend engineers develop a RESTful or GraphQL API to handle:

• Product lookup by barcode/AI
• Cart updates & pricing calculations
• Payment processing
• Inventory sync with POS
• Order & receipt generation

 

Step 3: Implement the Barcode & AI-Based Product Recognition

Based on the business requirements, some developers take the basic approach (use ZXing for barcode/QR code scanning), while others take the advanced approach and train an AI model with TensorFlow or OpenCV for visual product recognition (useful for grocery stores dealing in fresh produce).

 

Step 4: Develop the Mobile App (Frontend)

To save time and financial resources, we choose React Native (for cross-platform) development. In case businesses wat to go native, we work with Swift/Kotlin to become device-specific.

During this process, we implement scan feature, cart management, price calculation and checkout screen

 

Step 5: Integrate Secure Payment Processing

This step deals with all online payment-related matters. For example, we use Stripe/PayPal/Square API to handle transactions and implement tokenization & PCI DSS compliance for security.

For contactless payments, we add Apple Pay & Google Pay, and Provide bnpl (split payments into installments) or wallet balance options (if needed).

 

Step 6: Implement Fraud Prevention & Security

The cybersecurity developers add AI-based fraud detection to flag suspicious transactions. We also recommend using multi-factor authentication (MFA) for user login. Last step is typically implementing randomized manual checks for high-value transactions.

 

Step 7: Connect with Inventory & POS System

We use APIs to sync the checkout app with SAP, Odoo, Zoho Inventory, or a custom POS system and ensure real-time stock updates to avoid overselling.

 

Step 8: Test, Deploy & Optimize

Before this step, the major development tasks are done. So here we initiate the quality checks and fixing. Here’s how we test:

• Check scanning accuracy, payment processing, and UI responsiveness.
• Get feedback from real customers before launch.

Once all fixes are done and the app is QA-passed, we use AWS/GCP/Firebase for scalability, and use Firebase Analytics & Google Cloud Monitoring.

Over to you…

Self-checkout technology is no longer a convenience—it’s an expectation. As retailers, restaurants, and businesses continue to adopt self-service solutions, the benefits are clear – and it’s a business initiative you can afford! Whether implemented through kiosks or mobile apps, self-checkout empowers businesses to streamline operations while providing a seamless, modern shopping experience. Because the way people shop is evolving, and businesses must evolve with it, now is the time to future-proof your business with self-checkout technology.

What is Circle to Search?

Launched recently on exclusive Android devices, Circle to Search is a visual search feature that gives users the power to search for anything in a matter of seconds. Now, if something catches your eye online, be it random words, an interesting image, a mere object, or anything else, you can simply circle, squiggle, or highlight it with ease. No need to open Google and type anything in! With just a single click, you’ll instantly get flooded with AI-powered search results about it, answering all your questions and satisfying your curiosity in a flash.

How Techlancers Seized This Opportunity 

With the power to instantly pull up detailed results, the Circle to Search feature makes product shopping easier than ever before. This makes it a gold-mine for brands and marketing agencies. As always, Techlancers wasted no time jumping on this trend and turning it into a major win for our marketing clients. Here are all the ways we seized this golden opportunity!

Boosted Our Local SEO Efforts

Local SEO thrives on location-based keywords and optimized text based content. To make sure our client’s website appears in Circle to Search’s results, we revamped our seo marketing services with a more targeted approach. We incorporated (without stuffing) more geo-specific keywords into landing pages, blogs, and local business listings to ensure that when users highlighted or circled a product or service, the results instantly featured our client’s website. Also, we optimized landing pages with relevant metadata and added location tags to images,  all of which resulted in increased foot traffic and engagement.

Implemented A Picture Perfect Strategy

We knew images were going to be key to making the most of this AI powered, “visual” feature, so we made sure our client’s visuals were not just pretty but optimized to the max! From capturing picturesque, high-quality images to adding snappy alt text and keyword-rich captions, we made sure every visual could do its own heavy lifting. Also, by throwing structured data in the mix, we made sure to tell the search engines exactly what each image was about so it popped out results at lightning speed every time something was highlighted or circled over.

Made Websites More Disability-Inclusive

It’s safe to say that Circle to Search is a dream come true for users with disabilities, and cherry on top—Google loves accessibility! To take full advantage of this breakthrough, our website design team made sure that all sites were fully in sync with assistive tech, screen reader compatibility was supercharged, and every clickable thing was a breeze to interact with. This way, not only did we make the experience better for users, but we also helped our clients climb up the search rankings. It was a win-win.

Tapped into Voice Search Optimization

With Circle to Search’s voice command feature, we saw a perfect chance to level up voice search. We optimized the websites for voice search, so when users spoke a command or circled something, they got instant and spot-on results. We also made sure product descriptions, FAQs, and other content matched the way people actually talk, making it easier for voice search to pull up what users were looking for. Not only did this make the site more intuitive, but it also gave our clients a better SEO boost. 

Optimized Google My Business Profiles

We knew Circle to Search was a game-changer for local searches, so we focused on optimizing Google My Business (GMB). By keeping business info, photos, and reviews fresh, we made it a breeze for users to find our clients with just a quick circle or highlight. With accurate details and eye-catching visuals, every time someone circled, squiggled, or highlighted, our clients’ profiles popped up instantly, putting them front and center in local searches.

Combined Circle to Search with UGC

Every time a customer posted a photo or review, we ensured it was tagged and linked to our client’s product or service. This way, when someone circled it with Circle to Search, it instantly brought up real customer feedback and visuals. This created a seamless, interactive experience where potential buyers not only saw the product but also heard from others who loved it. The result? Increased trust, better engagement, and more User Generated Content, which all helped our clients stand out even more in search results.

The Future is Visual

Circle to Search isn’t just a new AI feature—it’s a glimpse into the future of online shopping. By catching up with this innovation, Techlancers is all too excited to get your brand on the fast track to success! Our goal has and will always be to make your business more visible, relatable, and easier for customers to find, and now it’s possible with just a simple circle. If you’re ready to join the digital future and make your brand impossible to miss, let’s chat! We’re all in to help your business stand out and shine brighter than ever before!