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Capability Build · eCommerce

ShopNest: One Inventory, Every Channel — Scaling a D2C Brand Beyond the Marketplace

This is a reference build: what a D2C brand needs when it is selling through marketplaces, a basic storefront, social channels, and physical stores, with a different version of inventory truth in each. The build unifies stock across every channel, puts a headless storefront in front of it, and adds the parts that decide whether customers come back — search that works, a checkout that does not lose people, and a loyalty layer. Peak-season traffic is a design constraint from day one, not a problem to discover on the busiest weekend of the year.

Discuss a Build Like This See Pricing
ShopNest
3 layersStorefront, Admin & Payments
8-14 wksTypical First Release
From $15Single Screen Build
Typical Timeline5-7 months
Typical Team8-10 people
PlatformsiOS, Android, Web
IndustryRetail & D2C eCommerce
Built ForMulti-channel ready
Challenges → Solutions

How We Solved It

Challenge

Inventory Chaos Across Five Channels

Stock counts lived separately in marketplace panels, the web store, and store POS systems. Overselling during sales events forced cancellations that damaged marketplace ratings and burned ad spend on orders that could not ship.

Solution

Real-time Omnichannel Inventory Hub

We built a central inventory service that syncs stock in real time across the web store, Amazon, Flipkart, Instagram Shopping, and all 12 POS terminals. Channel-level safety buffers and automatic delisting at low stock eliminated overselling entirely.

Challenge

Storefront That Collapsed Under Festival Traffic

The legacy monolith crashed at roughly 8,000 concurrent users — a fraction of Diwali campaign traffic. Every outage during a sale translated directly into lost revenue and a flood of support tickets.

Solution

Headless, Auto-scaling Commerce Architecture

ShopNest runs as a headless commerce stack — a Next.js storefront on a CDN edge backed by containerized microservices that scale horizontally on demand. The platform absorbed a 14x Diwali traffic spike with sub-second page loads and zero downtime.

Challenge

No Customer View Beyond the Last Order

With purchase history fragmented across channels, the brand could not segment customers, personalize offers, or run an effective loyalty program. Retention marketing was reduced to blanket discount blasts.

Solution

Unified Customer Data and Loyalty Engine

Every order from every channel now feeds a single customer profile with RFM segmentation, powering personalized recommendations, WhatsApp win-back journeys, and a points-based loyalty program redeemable online and in stores.

Delivered

Notable Features Shipped

  • Headless storefront with sub-second page loads on mobile
  • Real-time inventory sync across marketplaces, web, social, and POS
  • Unified customer profiles with RFM segmentation
  • Omnichannel loyalty program with in-store redemption
  • One-click checkout with UPI, cards, wallets, and COD intelligence
  • Returns and exchange portal with automated refund workflows
Engineering Stack

Technology Behind ShopNest

Front End

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS

Back End

  • Node.js
  • NestJS
  • GraphQL
  • RabbitMQ

Database

  • PostgreSQL
  • Redis
  • Elasticsearch

Cloud & DevOps

  • AWS
  • Docker
  • Kubernetes
  • Cloudflare
Why It Matters

What A Build Like This Changes

✓Direct channel revenue overtook marketplace revenue within a year, restoring margin the brand had been surrendering in commissions.
✓Overselling cancellations dropped to zero, repairing marketplace seller ratings and reducing customer support volume.
✓Festival sales became a growth event instead of an infrastructure emergency, with marketing free to push campaigns without fear of outages.
✓Unified customer data turned retention into a science — segmented WhatsApp journeys now drive a meaningful share of monthly orders.
From $25 Per Feature

You do not have to commission the whole thing. Any single module above can be scoped and quoted on its own — and a complete platform like this one is a custom quote after a discovery call.

See Pricing
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