High-volume headless commerce engine with real-time AI recommendations · Nexasoft case study

High-volume headless commerce engine with real-time AI recommendations

Sub-second storefront with event-driven order processing capable of 12k peak orders/min.

Client
Urban Threads & Co.
D2C Fashion & Apparel Brand
Location
Bengaluru
Timeline
12 weeks MVP launch, continuous bi-weekly feature sprints
Headline result
+28%
Increase in checkout conversion

Overview

A fast-growing fashion e-commerce brand was losing customers during flash festive sales as their monolithic platform crashed under traffic surges. Nexasoft replaced the monolith with a decoupled headless architecture featuring edge-rendered storefronts, a distributed checkout queue, and an in-memory recommendation engine.

The challenge

  • Frequent checkout crashes and timeouts during Diwali and festive promotional sales.
  • High page load times (>4.8 seconds on 4G mobile) causing a 68% mobile drop-off rate.
  • Inventory synchronization delays resulting in accidental overselling and client refunds.
  • Rigid CMS preventing the marketing team from launching campaign pages rapidly.

What we built

  • Built a modern headless frontend on Next.js edge runtime with ISR (Incremental Static Regeneration).
  • Engineered an event-driven order processing pipeline with Redis caching and Kafka queue isolation.
  • Integrated machine learning recommendation model showing personalized products based on cart intent.
  • Connected warehouse management systems for sub-second live inventory updates.

Results

Increase in overall checkout conversion rate
+28%
Peak orders processed per minute without a single error
12,000
Average mobile storefront page load time achieved nationwide
750ms
Growth in average order value (AOV) driven by AI recommendations
18%

Architecture

  • Next.js App Router deployed to edge CDN nodes.
  • Node.js microservices with Redis Cluster for distributed cart state.
  • Apache Kafka for order queue decoupling and payment webhooks.
  • PostgreSQL with Read Replicas and Elasticsearch for lightning-fast catalog search.
“Our biggest sale day of the year was completely stress-free. Zero downtime, blazing fast checkouts, and our conversion rate jumped significantly.”
Vikram K., VP of Digital Commerce

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