Continued platform development · Phase 3: AI-powered visual merchandising recommendations + customer service chatbot (in progress)
Who we worked with
A national retail chain operating 35+ stores across the UAE with a growing e-commerce presence and approximately 400 employees. The company needed to unify their in-store and online sales channels into a seamless omnichannel experience that could compete in Dubai's fast-moving retail landscape.
Their 10-year-old on-premise POS solution had disconnected databases at each store location — a fragmented architecture that was costing revenue every day and blocking every digital initiative the CEO wanted to pursue.
A fragmented POS becoming a revenue drain
Disconnected stores, inaccurate inventory, and no cross-channel customer view were losing sales daily — while compliance gaps added legal risk on top.
Slow Checkout Driving Abandonment
In-store checkout averaged 4.5 minutes per transaction. During peak hours, customers were abandoning purchases entirely rather than waiting in line.
4.5 min avg checkoutCompletely Disconnected Inventory
Online and in-store stock data were entirely separate. Customers ordered online only to receive a call saying the item was out of stock at their nearest store.
0% inventory sync67% Inventory Accuracy
The gap between system records and physical counts was growing — with only 67% accuracy, every purchasing and replenishment decision was based on unreliable data.
67% stock accuracyNo Cross-Channel Customer View
A loyal customer who bought in-store was treated as a complete stranger online. Purchase history, preferences, and loyalty points existed in separate silos with no connection.
Zero unified profilesOutdated Payment Methods
No support for contactless, Apple Pay, Google Pay, or buy-now-pay-later — the payment options UAE shoppers increasingly expected as standard at any checkout.
No modern paymentsPCI DSS Compliance at Risk
Outdated encryption and token handling put the business at risk of failing PCI DSS audits — a growing liability with no clear path to remediation on the legacy stack.
Compliance gapsTwo phases, one unified commerce platform
We ran modernization and AI integration in overlapping phases — rebuilding the retail foundation while layering intelligence that drove revenue from day one.
- Cloud-native omnichannel POS platform on Azure — replaced all 35+ fragmented on-premise store systems with a single unified architecture
- Unified product catalog, inventory & customer database — one source of truth serving every in-store POS terminal and the e-commerce platform simultaneously
- React-based POS interface optimized for touch screens and mobile — checkout flow reduced from 8 screens to just 3, cutting transaction time by 53%
- Real-time inventory sync across all stores and online — stock levels propagate within 2 seconds of any transaction, anywhere in the network
- Modern payment integration — contactless (NFC), Apple Pay, Google Pay, and UAE regional buy-now-pay-later providers
- Full PCI DSS compliance with end-to-end encryption and card data tokenization, plus unified customer profiles with loyalty points visible across all channels
- AI product recommendations — collaborative filtering trained on 18 months of transaction data surfaces "Customers who bought X also bought Y" at both in-store POS and online checkout
- Intelligent inventory redistribution — time-series forecasting (Prophet) predicts which products will sell out at which locations and recommends stock transfers before stockouts occur
- Dynamic markdown optimization — instead of blanket discounts, the AI recommends store-specific and product-specific markdowns based on local demand patterns, eliminating unnecessary discounting
- Customer intelligence engine — Python pipeline analyzes purchase history, browsing behavior, and demographics across all channels to build rich segment profiles
- Executive analytics dashboard — daily sales predictions, customer segment analysis, and anomaly alerts such as "Store 14 showing 40% drop in footwear sales vs forecast"
Full-stack cloud-native retail architecture
Results that changed how they sell
Measurable improvements across revenue, checkout speed, inventory accuracy, and customer recognition — all delivered within the 36-week engagement with zero disruption to daily operations.
Increase
Checkout
Accuracy
Recognized Cross-Channel
8 engineers, one end-to-end retail transformation
A full-stack team combining cloud architecture, .NET and React development, machine learning, and store-level QA — structured to deliver across 35+ locations without a single day of sales disruption.
Solution Architect
Azure cloud architecture, omnichannel system design, PCI DSS compliance strategy
Senior .NET Developer × 2
.NET 8 backend services, unified inventory engine, payment gateway integrations
Senior React Developer
Touch-optimized POS interface, e-commerce storefront, executive analytics dashboard
Mid-Level Developer
Store-level integrations, loyalty program module, reporting API layer
ML Engineer
Python, collaborative filtering, Prophet demand forecasting, markdown optimization model
DevOps Engineer
Azure AKS, Kubernetes, Terraform, Azure DevOps CI/CD pipelines
QA Engineer + 36-Week Delivery
Phased store-by-store rollout — pilot in 5 stores, then full 35+ location deployment with zero sales disruption
What the client said
"i-verve didn't just replace our POS system — they rebuilt how we run retail. Our stores are faster, our inventory is finally accurate, and for the first time we actually know who our customers are across every channel. The AI recommendations alone are generating 12% of our online revenue. We went from a fragmented system holding us back to a platform that's actively driving our growth."