E-Commerce Platform Rebuild Headless, Microservices & Personalization
Complete e-commerce platform rebuild with headless architecture, product recommendation engine, dynamic pricing, inventory management, and omni-channel fulfillment.
Headless microservices
Architecture
Web + Mobile + PWA
Channels
Sub-100ms API latency
Performance
Lorex Technology
Company
Led a complete rebuild of the e-commerce platform replacing a monolithic legacy system. The old platform couldn't keep up with business demands new features took months, performance was inconsistent, and scaling was difficult.
Architect separated concerns: a product service managing catalog and inventory, an order service handling transactions, a recommendation service providing personalized suggestions, and a pricing service handling dynamic pricing and promotions. Frontend decoupled from backend (headless) enabled simultaneous mobile and web development. Elasticsearch powered faceted search and filtering. A recommendation engine increased average order value through intelligent cross-sell. Real-time inventory sync across warehouses prevented overselling.
Search quality was the difference between customers finding products and abandoning the site. The legacy keyword search failed on plurals, synonyms, and typos - a customer searching "surveillance camera" wouldn't find products listed as "IP camera." We rebuilt search on Elasticsearch with synonym dictionaries (camera = cam = CCTV), fuzzy matching for typos, and phonetic matching for brand names. Relevance tuning used historical click-through and purchase data: products users consistently purchased after clicking ranked higher than those they rejected. conversion rate optimisation from search improved 34%.
The checkout abandonment rate - 65% before the rebuild - represented millions in lost revenue. We instrumented every checkout step to identify where users dropped off. The culprit: a 7-step checkout requiring account creation. We reduced to 3 steps with guest checkout and progressive account creation (ask to save only after a successful purchase). One-click checkout for returning users. Payment options expanded to include Apple Pay, Google Pay, and buy-now-pay-later. Checkout abandonment dropped to 51% - a 14-point improvement translating to $3.2M in annual recovered revenue.
Black Friday stress testing strategy pyramid revealed the architectural risks we'd inherited. The monolith couldn't survive 10x normal traffic - we needed the new microservices governance patterns to be ready before peak season. We ran load tests at 20x normal traffic for each service independently and together. The payment service failed at 8x due to database transaction patterns connection pool exhaustion. The product service scaled linearly up to 50x (the test limit). These tests gave us confidence for launch - and identified the payment service database transaction patterns as a priority fix before go-live.
Ecommerce Architecture & Strategy
Explore the Full Portfolio
This is the complete portfolio of Sufi Khan Sulaiman, a technology leader specialising in B2B commerce and digital automation. Start from the Home page for the overview, then move through two decades of career experience across FLIR Systems, Lorex Technology, and 1c Platform, and the full catalogue of project case studies spanning headless commerce migrations, AI recommendation engines, and multi-channel fulfilment systems.
The skills and certifications page maps the technical and leadership capabilities behind the work, while the articles and the knowledge base break down the thinking into actionable frameworks. For hands-on learning, the tutorials and applications sections cover practical builds from front-end fundamentals to full-stack web apps.
For consulting engagement, the expertise page outlines service offerings, the ecommerce hub covers platform architecture and automation strategy, and the ecommerce guide (PDF) is a downloadable 55-page field manual. When you are ready to talk, the contact page is the direct line.