The client needed accurate, continually improving demand forecasts across multiple time frames to optimise resource planning and meet regulatory standards. 3i Infotech deployed its N-BEATS forecasting model as an on-premises web application with daily data updates, achieving 95% model accuracy and stronger regulatory compliance.

Predicting demand on a daily, monthly and quarterly basis required advanced analytical techniques and robust models. 3i Infotech delivered fast, easy-to-train N-BEATS time-series models through an on-site web app, with daily sales data updates enabling continual improvement and 95% model accuracy, supporting regulatory compliance.

Detecting fraud across a scheme supporting over 14,000 empanelled hospitals and 170 million beneficiary cards was increasingly complex. 3i Infotech's Fraud Analytics & Tracking Solution combined decision-tree classification with descriptive and predictive analytics, delivering a unified detection platform, real-time monitoring and greater transparency.

The client needed round-the-clock data centre and disaster recovery support, skilled onsite resources and standard application support across pan-India locations. 3i Infotech delivered dedicated onsite support, 24/7 DC-DR monitoring, SLA-driven managed services and end-user support, achieving 99.5% SLA compliance and 30–40% cost reduction.

The client struggled to ensure continuous data centre and disaster recovery support, deploy skilled resources across locations and deliver efficient end-user support. 3i Infotech provided on-site skills, 24/7 DC-DR monitoring, SLA-driven managed services and AMC-backed end-user support, improving SLA compliance, streamlining operations and reducing costs.

The client sought end-to-end infrastructure support with stringent SLAs, round-the-clock DC and DR coverage and skilled onsite resources across pan-India locations. 3i Infotech delivered dedicated onsite support, managed IT services, end-user support with AMC and project management, achieving 99.5% SLA compliance and 30–40% cost reduction.

With a massive beneficiary base and thousands of empanelled hospitals, the client faced a significant challenge detecting and preventing fraudulent claims. 3i Infotech implemented a decision-tree-based fraud classification system with descriptive and predictive analytics, minimising false positives, enabling real-time monitoring and reducing claims costs.

The client needed a forecasting solution that could learn from new data, adapt to changing demand patterns and support regulatory compliance. 3i Infotech deployed the N-BEATS model through a user-friendly web application with automated daily data updates, achieving 95% accuracy and more efficient resource allocation.

Ensuring scheme integrity was a significant challenge, with fraudulent claims difficult to identify across millions of beneficiaries. 3i Infotech's Fraud Analytics & Tracking Solution delivered a unified detection platform with decision-tree analysis and predictive analytics, enabling real-time monitoring, greater accountability and cost savings.

The client faced manual processes, weak beneficiary verification, limited real-time data and data redundancy across three youth-centric schemes. 3i Infotech implemented an integrated IT solution with a web portal, mobile app, payment processing, CRM and IVRS, enabling automation, performance monitoring and greater transparency.