Architecture

Local First.
Cloud Backed.

RetailOS runs entirely on-device. The cloud is a sync and backup layer — never a dependency. Built for India's last-mile connectivity.

SQLite on-device — millisecond transaction speed

CRDT conflict resolution across multiple devices

AES-256 encryption at rest and TLS 1.3 in transit

Offline Architecture

Local First. Cloud Backed.

RetailOS runs entirely on the device. A local SQLite database processes every transaction instantly — no waiting for network responses. The cloud is a backup and sync layer, not a dependency.

SQLite on-device storage

Transactions persisted locally at millisecond speed

Optimistic UI

UI updates immediately, data syncs in background

Sync queue system

All changes queued and replayed on reconnect

CRDTs for conflicts

Conflict-free replicated data types resolve merge conflicts

// Offline-First Flow

User Action user.createBill(items)
Local Write db.local.insert(bill)
UI Update ui.showReceipt(bill)
Queue Sync syncQueue.add(bill)
On Connect cloud.sync(queue)
Confirm db.markSynced(bill.id)

Data Sync

Intelligent Sync Engine

Delta Sync

Only changed data is synced — not full datasets. Bandwidth-efficient even on 2G networks.

Conflict Resolution

When two devices edit the same record offline, our CRDT engine merges changes deterministically.

Retry Logic

Failed syncs are automatically retried with exponential backoff. No data is ever lost.

Security

Enterprise-Grade Security
for Every Store.

AES-256 Encryption
TLS 1.3 in Transit
Role-Based Access
Audit Logs
Device Binding
GDPR Compliant
Security infrastructure

Scalability

Built to Scale with You

1M+

Transactions per day capacity

99.9%

Uptime SLA guaranteed

<100ms

Average sync latency

10+

Devices per store supported

Future AI Infrastructure

Every Transaction Trains
Your Future AI.

The operational data you collect today becomes the training foundation for AI that will run your store autonomously tomorrow.

Live

Structured Data Layer

Every action produces clean, schema-consistent data — ready for ML training from day one.

In Development

Edge ML Inference

AI models run on-device — no internet required for AI predictions.

Roadmap

Federated Learning

Your data stays private while contributing to global retail intelligence.