This cost reduction and efficiency boost have enabled faster insights, improved reporting, and streamlined data workflows.

Cosmo First has partnered with Snowflake to develop a centralized data platform that modernizes legacy systems and enhances data-driven decision-making across its multiple business units.

The implementation consolidates fragmented data into a unified, cloud-native platform, enabling near real-time, secure data access and supporting AI and machine learning capabilities.

Snowflake’s platform supports AI and ML, allowing Cosmo First to deploy models that predict customer behavior, unify diagnostic reporting, and integrate cross-platform marketing analytics.

Leadership emphasizes that Snowflake’s unified data backbone boosts agility, accelerates innovation, and provides a competitive edge, with plans to expand AI-driven automation in areas like predictive maintenance and personalized marketing.

Looking ahead, Cosmo First aims to further develop AI-powered recommendation engines, predictive maintenance models, and personalized marketing campaigns to drive automation and innovation.

The platform includes security features such as role-based access control (RBAC), ensuring secure onboarding of new businesses and tools, and enhancing data privacy and compliance.

Since adopting Snowflake, Cosmo First has achieved a 75% reduction in infrastructure and maintenance costs by decommissioning legacy data warehouses, along with over an 80% decrease in data preparation efforts for analytics and data science.

Sriram Arthanari, CIO of Cosmo First, highlights that Snowflake’s platform acts as a single source of truth, enabling faster innovation, shorter time-to-market, and greater strategic agility.

Kasmo Digital’s CEO, Rajesh Pawar, notes that the partnership not only consolidates data but also fuels deeper insights and competitive advantage through AI adoption.

To enhance customer engagement, a multi-agent AI chatbot has been deployed on Cosmo First’s website, providing instant, 24/7 support and building trust.