Gen AI Led Software Development
& Digital Transformation

• Data Engineering & AI/ML

In North America's e-commerce battlefield, a single dollar separates a conversion from an abandoned cart and the shopper isn't just comparing products, they're racing against an algorithm. A price comparison platform serving North American and Canadian shoppers across 500+ retail brands and 20+ categories had one mandate: become the single most trusted source of real-time pricing intelligence for millions of shoppers making decisions in seconds.

NeoSOFT's diagnostic exposed the gap between that vision and the platform's reality. Every one of 500+ retailers ran on a different architecture, a different data format, and a different definition of "real-time" and prices shifted hourly across millions of SKUs with no automated mechanism to keep pace. A manual processing pipeline was producing stale data, the single biggest destroyer of trust in a price intelligence product. There was no personalization layer; every shopper saw identical data regardless of intent or context. And the scaling model was already buckling before the platform had even reached its growth phase.

The real crisis wasn't data volume, it was the absence of intelligence behind the data. Raw price aggregation without context isn't a product. It's a spreadsheet.

NeoSOFT didn't come in to patch the existing model. We came in to rebuild the platform's decision-making core from the ground up, replacing manual chaos with an autonomous, self-sustaining intelligence engine that reads shopper intent, refreshes itself, and scales without a ceiling.

• Cyber security

As India's digital banking surge hit 40% year-over-year growth, one of the country's most trusted banks, serving 7 million-plus customers across individuals, firms, and multinationals, faced a threat hiding in plain sight. Its website offered full banking functionality. Its mobile app didn't. Customers expected their entire branch in their pocket; the platform gave them a fraction of it.

NeoSOFT's diagnostic found the fault lines running deep. The app lacked multi-layer encryption, leaving millions of sensitive financial records exposed to breach risk. Server failures caused outages that delayed payments and blocked account access, quietly eroding the trust a 7-million-strong customer base had spent years building. There was no native UPI integration, a critical gap in a country where UPI processes 10 billion-plus transactions every month. And underneath it all sat a monolithic architecture that cracked under peak load, impossible to scale and painful to maintain.

For a bank this size, a fragmented mobile experience wasn't a minor inconvenience, it was a loyalty advantage quietly turning into a churn risk.

NeoSOFT didn't come in to patch the app. We came in to rebuild it as a full-stack, security-hardened super app, one capable of carrying every service the website offered, absorbing India-scale traffic without flinching, and giving 7 million customers a mobile experience as fast and reliable as the trust they'd already placed in the bank.