Cosmo First Limited has partnered with Snowflake and implementation partner Kasmo Digital to overhaul its enterprise data architecture, consolidating multiple legacy systems into a next-generation AI-ready platform. Built on Snowflake’s AI Data Cloud, the solution centralises data access, streamlines operations, and empowers cross-functional teams with real-time insights.
A move from siloed data to unified intelligence
Previously, Cosmo First grappled with fragmented data environments, delayed reporting, and complex data workflows. The Snowflake platform now provides a cloud-native, scalable foundation that supports secure, near-instant access to structured data across five business units. Sales and marketing teams benefit from faster campaign analysis, while data science teams can deploy ML models with reduced prep time and improved visibility.
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Real-time decision-making and predictive capabilities
The company reports a 75% reduction in infrastructure and maintenance costs, along with over 80% savings in data preparation efforts for analytics and machine learning. With the new platform, Cosmo First has enabled predictive order modelling based on past customer behaviour and deployed a multi-agent AI chatbot to deliver 24/7 technical and product support.
The platform also integrates CRM, digital, and diagnostic datasets — unifying operations reporting, marketing performance, and executive dashboards in one environment.
Building for scale, security, and innovation
Snowflake’s enterprise-grade security features, including role-based access control (RBAC), allow Cosmo First to onboard new businesses and applications with minimal friction. The solution also supports seamless scaling as the company’s digital footprint expands across geographies and verticals.
By adopting an AI-first architecture, Cosmo First is positioning itself for long-term agility — modernising not just how data is stored, but how it’s activated across the enterprise for forecasting, service quality, and continuous innovation.
