Chat with us!Explore how mTouch Labs modernized an e-commerce platform with AI-powered personalization, faster performance, advanced search, and real-time inventory synchronization.
The storefront finally keeps up with our catalogue. Pages load instantly, search actually finds things, and the numbers moved within the first month.
Priya Nair, Head of Digital Commerce
mTouch Labs partnered with an established retail brand to transform its legacy e-commerce platform into a faster, more intelligent digital commerce experience.
The existing platform supported a large product catalogue of more than 50,000 SKUs, but outdated technology, slow mobile performance, limited personalization, and delayed inventory synchronization were creating friction across the customer journey.
The project focused on rebuilding the digital storefront around performance, product discovery, personalization, and conversion. mTouch Labs introduced a headless e-commerce architecture using Next.js and Node.js, complemented by AI-powered product recommendations, advanced search, real-time inventory synchronization, and a streamlined checkout experience.
The resulting platform provides a more responsive shopping experience while giving the retail business a flexible technical foundation for continued growth and optimization.
| Project Detail | Information |
|---|---|
| Project Type | Web & Progressive Web App |
| Industry | E-Commerce & Retail |
| Technologies | React.js, Next.js, Node.js, MySQL, AWS |
| Delivery Partner | mTouch Labs |
| Primary Outcome | The modernized platform delivered measurable improvements in performance, conversion, cart completion, and personalized shopping. |
The retail business had an established online store, but several limitations across performance, personalization, checkout, and inventory management were affecting the overall shopping experience. With a catalogue of more than 50,000 SKUs, the platform needed to handle complex product discovery while providing customers with a faster and more convenient path to purchase.
Mobile pages took around 6.2 seconds to load, creating friction during browsing and product discovery.
A 78% cart abandonment rate indicated significant drop-off between product selection and completed purchases.
Customers received limited product recommendations, making it harder to deliver relevant shopping experiences based on their interests and behavior.
The existing Magento installation depended on more than 200 outdated plugins, increasing technical complexity and limiting the ability to evolve the platform efficiently.
Warehouse inventory changes could take up to 24 hours to reach the online storefront, creating potential gaps in product availability.
mTouch Labs began by analyzing the existing customer journey to identify the areas creating the greatest friction. The focus was not simply on replacing legacy technology, but on improving the shopping experience and supporting measurable business outcomes.
A 10-day conversion-rate optimization audit used heatmaps, session recordings, and three months of funnel data to identify 23 customer journey friction points and prioritize the most impactful improvements.
The platform was restructured using a headless e-commerce architecture, separating the storefront from core commerce services to improve flexibility, performance, and future scalability.
Customer and purchase behavior informed an AI-powered product recommendation system, helping deliver more relevant product suggestions throughout the shopping journey.
The online storefront was connected with warehouse operations to enable real-time inventory synchronization, improving product availability and reducing delays in stock updates.
Mobile performance, product discovery, and checkout were improved as connected parts of the customer journey, helping reduce friction between browsing and purchase.
The architecture was designed to support additional commerce capabilities, integrations, and optimization initiatives as the retail business evolves.
mTouch Labs transformed the existing retail platform into a modern headless e-commerce solution designed to improve speed, product discovery, personalization, and purchasing.
Personalized product suggestions help shoppers discover relevant products based on customer and purchase behavior.
Faceted filtering and typo-tolerant search make it easier to find products across a catalogue of more than 50,000 SKUs.
A simplified checkout flow reduces unnecessary steps, with features such as address autocomplete and saved payment methods.
Warehouse stock changes are synchronized with the online storefront, providing more accurate product availability.
PWA capabilities provide a responsive, mobile-focused shopping experience with support for offline browsing.
A centralized analytics dashboard provides visibility into sales performance and customer behavior, supporting data-informed optimization.
Component foundation for the responsive storefront.
Powers the high-performance storefront and rendering strategy.
Supports backend services and core e-commerce workflows.
Manages products, orders, customer information, and commerce data.
Cloud infrastructure for deployment, scalability, and application delivery.
Heatmaps, session recordings, and three months of funnel data were analyzed to identify and prioritize 23 customer journey friction points.
The commerce platform was restructured using a headless architecture, followed by development of the new storefront and backend services.
The recommendation engine was integrated to deliver personalized product suggestions across key shopping touchpoints.
Warehouse systems were connected with the online platform to enable near real-time inventory synchronization.
The platform was tested and optimized for performance, usability, and reliability across the customer journey.
The new platform launched to full traffic in week eight, achieving a 96 Lighthouse mobile performance score.
The modernized platform delivered measurable improvements in performance, conversion, cart completion, and personalized shopping.
mTouch Labs combines product thinking, modern engineering, and data-driven optimization to build digital commerce experiences aligned with business objectives.
Technology decisions are aligned with goals such as conversion, performance, customer experience, and operational efficiency — and the resulting architecture supports growing catalogues, increasing traffic, new capabilities, and future integrations.
We built an autonomous AI support agent that resolves customer tickets end to end — understanding intent, retrieving account context, and taking real actio....
View case studyWe developed a generative AI chatbot that holds natural, context-aware conversations across a SaaS product — answering product questions, guiding onboardin....
View case studyWe delivered an AI workflow automation platform that orchestrates multi-step business processes across departments — routing documents, making decisions, a....
View case studyWhat businesses ask us most often about this project and how we built it.
mTouch Labs developed an AI-powered e-commerce platform for an established retail business with a catalogue of more than 50,000 SKUs, combining modern commerce architecture with personalization and performance optimization.
The existing platform faced slow mobile performance, high cart abandonment, limited personalization, outdated infrastructure, and delayed inventory updates. The modernization focused on creating a faster and more scalable digital commerce experience.
The platform used React.js, Next.js, Node.js, MySQL, and AWS across the frontend, backend, database, and cloud infrastructure.
AI-powered recommendations were introduced to provide more relevant product suggestions based on customer and purchase behavior.
The platform was launched to full traffic in week eight, following development, testing, and performance optimization.
Yes. The modernization approach can be tailored to the existing architecture, integrations, catalogue, and business requirements to determine which components should be replaced, integrated, or improved.
Yes. The architecture can be designed to support large catalogues, advanced product discovery, scalable backend services, and growing traffic requirements.
mTouch Labs combines AI-powered development with deep industry expertise to deliver solutions faster.
