Work / Shoplytics
DIGITAL RETAIL

Headless commerce with inventory that never lies

A retailer was overselling stock across warehouses during peaks. We fixed it with real-time inventory, a headless storefront and one-click checkout — no replatform, no checkout downtime.

Industry Digital retail Services Web · SaaS Duration 5 months Client Shoplytics
Start a project like this
HERO MOCKUP — CHECKOUTReplace with a straight-on shot of the one-click checkout on a navy field.
SHOPLYTICS — PROJECT THUMBNAIL Drop a wide product image or screenshot here (real UI, navy field, soft shadow).
[TO CONFIRM]
GMV
GROWTH
[TO CONFIRM]
PEAK-SEASON
TRANSACTIONS
[TO CONFIRM]
WAREHOUSES
SYNCED
5 mo
START TO
SHIP
THE CHALLENGE

Selling stock that wasn't there

Across several warehouses, the retailer was overselling during peaks — two customers buying the last unit, then one getting an apology. It cost sales and it cost trust.

THE CONSTRAINT

Fix it without a full replatform and without a minute of checkout downtime. The store had to keep selling while we rebuilt the engine underneath it.

CONTEXT — MULTI-WAREHOUSE STOCKReplace with a real inventory/operations screen or warehouse photo.
WHAT WE DID

What we did

Three decisions shaped the build. Each one is a bet we can explain.

01

Inventory as the source of truth

Real-time multi-warehouse sync with reservations, so two carts can't both claim the last unit. Stock reflects reality, not last night's snapshot.

SCREEN — LIVE INVENTORYPer-warehouse stock + reservations.
02

Headless, storefront-agnostic

A commerce API the existing front end could adopt incrementally — no big-bang cutover, no dark launch weekend.

DIAGRAM — HEADLESS APIStorefront ↔ commerce API.
03

One-click checkout

Tokenised payment and saved addresses to cut drop-off at the final, most fragile step of the funnel.

SCREEN — ONE-CLICK CHECKOUTSaved payment + address.
DELIVERY

How we delivered it

A small, named squad and a two-week rhythm — the same people, a demo you attend, and no surprises at launch.

THE SQUAD
Product engineer / lead[TO CONFIRM]
Backend engineer (commerce)[TO CONFIRM]
Frontend engineer[TO CONFIRM]
QA / release[TO CONFIRM]

SAME ENGINEERS THROUGHOUT · PR REVIEWED BEFORE MERGE · A DEMO EVERY SECOND FRIDAY

TEAM AT WORK — REAL PHOTOWorking-screens or plain-navy-backdrop shot.
THE TIMELINE
WEEK 0Scope & architectureInventory model, reservation logic and the API contract agreed.
SPRINT 1–2Inventory coreReal-time sync and reservations, tested against oversell scenarios.
SPRINT 3–5Headless API & checkoutIncremental storefront adoption; one-click checkout.
SPRINT 6Peak hardeningLoad-tested against peak-season transaction volume.
LAUNCHZero-downtime cutoverRolled out without a minute of checkout downtime.
SECURITY & SCALE

Security & scale

The section enterprise buyers read first.

PCI-COMPLIANT

No card data on our servers

Payment is tokenised through the provider; sensitive card data never touches our infrastructure.

PEAK-TESTED

Held through the rush

Order processing held its success rate across [TO CONFIRM] peak-season transactions.

CONSISTENT

Reservations prevent oversell

Stock is reserved at add-to-cart, so concurrency can't sell the same unit twice.

THE STACK

The stack, and why

Next.jsNode.jsPostgreSQLRedisStripe

PostgreSQL for inventory that must stay consistent, Redis for the hot read paths, and a headless API so the storefront could migrate a page at a time. Consistency first, speed layered on top.

ARCHITECTURE DIAGRAMStorefront → commerce API → inventory + payments. Square nodes, hairline leaders.
IN THEIR WORDS
[TO CONFIRM — a verified quote from the retailer about the oversell fix and checkout, in plain words.]
— [TO CONFIRM name], [TO CONFIRM role], Shoplytics
AUDIT §5: GMV IS A NAMED CLIENT'S REVENUE — PUBLISH ONLY WITH WRITTEN CONSENT, OR AS A RELATIVE MEASURE.
GET IN TOUCH

Commerce that has to stay up while you fix it?

That was the constraint on Shoplytics. Book thirty minutes and tell us where it hurts.

Book a 30-minute call

REPLY WITHIN ONE BUSINESS DAY · KOVILPATTI, IST

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