Success Story

The client is a prominent US-based spend management company that offers budgeting, procurement, and invoicing automation solutions for post-acute care and senior living facilities. 
Their platform connects buyers and suppliers through shared workflows, approval processes, and data-driven decision-making.

The client faced significant operational inefficiencies that hindered their ability to make timely, data-driven decisions. Several key challenges contributed to this: 

• Required to transition into a next-gen AI-enabled supplier decision platform aligned with enterprise planning workflows.
• Disconnected data across buyers, vendors, and contracts prevented real-time spend forecasting.
• Delayed budget approvals and sourcing decisions due to manual interventions.
• Limited integration with ERP and supply planning systems impacted overall performance.
• Required a cloud-native, multi-tenant architecture to support scaling and analytics-driven decision-making.
• Faced limited supplier readiness and commitment visibility for upstream planning teams.

• We implemented a componentized Microservices architecture for scalability and seamless planning integration.
• We built automated buyer–supplier workflows to support requisition, approval, and sourcing decisions.
• Our team integrated Snowflake data warehouse to unify procurement, spending, and vendor analytics.
• We added AI-driven spend forecasting and anomaly detection models using historical procurement data.
• We designed buyer and supplier collaboration portals featuring real-time dashboards for planning alignment.
• Our team enabled SSO and API-driven integration with role-based access control for multi-enterprise environments, including ERP, budget, and supply planning.
• We established Azure CI/CD pipelines for continuous deployment and rapid innovation.

• 90% process automation achieved, reducing manual procurement cycles.
• Approximately 50% faster approval times experienced through integrated workflows.
• AI-based insights utilized to assist in supplier selection, readiness, and sourcing decisions.
• Enhanced visibility gained across contracts, vendors, and budgets.
• Secure, scalable multi-tenant platform created that integrated seamlessly with planning and execution ecosystems.
• Data-driven negotiation capability improved using predictive spend analytics.
• Customer onboarding rates increased due to a modernized and modular architecture.