E-Commerce & Retail
Retail technology has to survive the moments that matter most — a flash sale, a holiday traffic spike, a viral product moment — without buckling. We build storefronts, personalization engines, and inventory systems designed for that reality: auto-scaling infrastructure that holds up under peak load, AI-driven recommendations that lift conversion, and inventory sync that keeps web, app, and in-store channels telling the same story.
10x+
Peak Traffic Handled
8-14 wks
Typical Engagement
15%+
Avg. Conversion Lift
Web, App & In-Store
Channels Synced
Where E-Commerce & Retail Projects Get Stuck
The recurring problems we see in this space — and the approach we take to each one.
Handling traffic spikes during sales events without downtime or checkout failures.
Auto-scaling cloud infrastructure load-tested specifically for peak-season traffic, not just average-day load.
Personalizing the shopping experience at scale without a small team drowning in manual merchandising.
AI-driven product recommendation and search engines that personalize automatically as catalog and traffic grow.
Keeping inventory in sync across web, app, and in-store channels.
Real-time inventory sync APIs that keep every sales channel accurate, down to the individual SKU.
A frontend that can't move as fast as merchandising and marketing need it to.
Headless commerce storefronts that decouple the frontend from the commerce backend, so campaigns ship without a full deploy cycle.
E-Commerce & Retail Case Studies
Relevant Services
Frequently Asked Questions
Yes — we load-test specifically for peak-season traffic, not just average-day load, and design auto-scaling infrastructure around your actual historical spike data.
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