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Retail & CommerceAsia-Pacific

Scaling Omnichannel Retail POS to 450+ Physical Outlets with Zero Downtime

How Manikarnika Technologies engineered an offline-first Retail OS handling 50,000 daily POS transactions across 450+ stores while achieving 99.98% inventory ledger accuracy.

+42%
Checkout Throughput Increase
0.02%
Inventory Variance Reduced To
$1.4M
Annual Shrinkage Savings
85ms
POS Transaction Latency

1. Client Challenge

The client suffered from frequent checkout freezes during peak weekend sales, inventory mismatches between store shelves and online e-commerce, and high sync latency across legacy desktop POS terminals.

2. Research Approach

We conducted on-site field observation across 12 high-density retail stores, monitoring network dropouts, scanner latency, and cashier ergonomics during peak checkout surges.

3. Technological Architecture

Architecture Specification

We architected an offline-first local SQLite caching node on each POS terminal connected via a lightweight WebSocket heartbeat protocol to an AWS EKS microservice cluster powered by Kafka event streams.

Technologies & Tools

Next.jsNode.jsPostgreSQLKafkaRedisAWS EKS

4. Business Outcome & Lessons Learned

The client eliminated checkout bottlenecks, increased cashier throughput by 42%, and reduced annual inventory shrinkage by $1.4M.

Key Architecture Lessons
Offline-first local indexing is essential for high-volume brick-and-mortar retail.
Event-driven Kafka streams prevent database locks during flash sale events.
Engineering Inquiry

Let's Build Something Exceptional Together

Fill out the consultation form to schedule a direct architectural discussion with our principal product engineers.

RESPONSIVENESS SLA GUARANTEE

Our technical team reviews all inquiry submissions within 4 business hours. Guaranteed NDA protection prior to any code disclosure.

Email Engineering Team
manikarnika.tech@gmail.com
Headquarters Address
Kolkata, India
To be discussed

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