DataVonix

Case study

E-Commerce Platform Overhaul

Web DevelopmentE-commerce
E-Commerce Platform Overhaul: project screen

Project Overview

A growing multi-vendor marketplace had hit the ceiling of its legacy platform. Built on an outdated tech stack, the site suffered from slow page loads, no mobile optimisation, and a checkout process so fragmented that cart abandonment had climbed to 74%. DataVonix was brought in to completely redesign and rebuild the platform from the ground up - delivering a modern, performant, and scalable e-commerce system that could handle thousands of concurrent users and dozens of vendor storefronts.

Start Your Project →
E-Commerce Platform Overhaul: detail
E-Commerce Platform Overhaul: results

Challenge

The Challenge

The existing platform was built on a PHP monolith from 2015. It had no proper API layer, vendor management was handled through spreadsheets, and every new feature required weeks of risky modifications to core files. The client needed a complete rebuild without losing existing product data, vendor accounts, or SEO rankings.

Key challenges included: migrating over 18,000 SKUs and 3,200 customer accounts with zero data loss, maintaining URL structures to preserve Google rankings, building a real-time inventory sync between vendor warehouses and the storefront, and launching with a hard deadline tied to a peak sales season.

Category

  • Web Development

Industry

  • E-commerce

Stack

  • ASP.NET Core 8
  • Next.js 14
  • SQL Server 2022
  • Redis

Approach

Our Approach

DataVonix architected a modern solution using ASP.NET Core 8 for the backend API, Next.js 14 for the storefront frontend, and SQL Server with Redis caching for data persistence and performance. The multi-vendor architecture was built around a clean domain model separating vendor accounts, product catalogues, orders, and fulfilment workflows.

Delivered

Key Features Delivered

  • Multi-vendor dashboard

    Each vendor gets a white-labelled management portal to manage their own inventory, pricing, promotions, and order fulfilment independently.

  • Smart checkout with Stripe integration

    A unified cart that handles split payments across multiple vendors, with automatic commission calculation and vendor payout scheduling.

  • Real-time inventory management

    Webhook-driven stock updates keep product availability accurate across all vendor warehouses in real time, eliminating overselling.

  • Advanced product search

    Elasticsearch-powered search with faceted filtering, synonym matching, and personalised ranking based on purchase history.

  • Mobile-first PWA

    The storefront is a Progressive Web App, delivering native app-like performance on mobile browsers, with offline browsing and push notification support.

  • Automated SEO infrastructure

    Dynamic sitemap generation, structured product data (JSON-LD), canonical URL management, and Core Web Vitals optimisation baked into the build pipeline.

E-Commerce Platform Overhaul: in use

Implementation

Technical Architecture

The system follows a clean microservices-inspired architecture with bounded contexts for catalogue management, order processing, payments, notifications, and vendor administration. An API gateway routes requests to the appropriate services, with JWT authentication and role-based access control governing vendor vs. admin vs. customer permissions.

The frontend uses server-side rendering for product pages (for SEO and fast first paint) and client-side rendering for the cart and checkout flow (for interactivity). Redis is used for session management, rate limiting, and caching frequently accessed product listings.

Outcome

Results

  • 8.2 seconds to 1.4 seconds

    Page load time reduced from 8.2 seconds to 1.4 seconds on mobile

  • 74% to 41%

    Cart abandonment rate dropped from 74% to 41% within 60 days of launch

  • 3 days to 2 hours

    Vendor onboarding time reduced from 3 days to 2 hours with self-serve portal

  • 62%

    Google organic traffic increased 62% in the first quarter post-launch

  • 5x peak load

    Platform now handles 5x peak load compared to the previous system

Tech stack

Technologies Used

  • ASP.NET Core 8
  • Next.js 14
  • SQL Server 2022
  • Redis
  • Elasticsearch
  • Stripe Connect
  • Azure Blob Storage
  • Docker
  • Azure Kubernetes Service (AKS)
  • GitHub Actions CI/CD

Portfolio

More Cases

Want a Similar Project?

Tell us about your idea and we'll build something you're proud of.

let us make the web talk about your project

Send over the problem, the deadline, or the half-finished system. We come back with an honest scope, an architecture direction, and a number.