Omnichannel Retail Inventory Ledger Architecture
A high-concurrency inventory ledger unifying e-commerce, mobile app, store POS, and fulfillment stock.
Design targets, not measured client results.
The Problem
Why teams need this pattern
Retailers see inventory discrepancies between stores and online channels. Overselling during flash sales damages trust and raises cancellation rates.
Ideal for
- Retailers adding e-commerce to a store network
- Brands hitting overselling on flash sales
Our Approach
Architectural approach
An event-sourced global inventory ledger. Every POS sale, web reservation, or return emits an inventory delta event that propagates to all channels almost instantly.
System Design
Architectural layers & components
How data and control flow from the edge of the system to the people who use it.
- 01
POS & Channel Connectors
Lightweight agents capturing streams from Shopify, POS, and apps.
- 02
Event Sourcing Stream
Kafka processing stock reservation and allocation events.
- 03
Inventory State Engine
Redis cache for sub-10ms stock availability checks.
- 04
Fulfillment Router
Routing engine that picks the best ship-from location.
Design Targets
What this architecture is built to achieve
Targets we design toward. We confirm them against your own data and workload before you commit to a build.
- POS integrations vary by vendor and drive most of the timeline.
- Targets assume event delivery from stores is reliable.
What You Get
Artifacts tailored to your environment
The blueprint is a starting point. These are the working documents and code we adapt for you.
Learn about our Application Engineering services- Stock hold/release event specs
- Redis inventory lock implementation
- GraphQL API documentation
How We Work
From first call to working prototype
- 130–45 min
Discovery call
We review your constraints, existing systems, and success criteria, and tell you honestly whether this blueprint fits.
- 21–2 weeks
Fit & feasibility workshop
We adapt the reference architecture to your stack, validate the design targets against your real data, and produce a scoped plan.
- 3Scoped per project
Prototype, then build
We ship a working slice first so you can judge the approach before committing to a full build.
Technology Stack
Default tools & infrastructure
We swap components to fit your stack.
- Apache Kafka
- Redis Enterprise
- Node.js TypeScript
- PostgreSQL
- AWS EKS
- GraphQL
FAQ
Common questions
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Want an architecture like this?
Book a call and we'll tell you honestly whether this blueprint fits, and how we'd adapt it to your stack and constraints.