AI-Powered Multi-Cloud Cost Management Optimizes Spend &Improves Financial Agility

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For a global consumer goods leader

“Achieving operational excellence in a complex multi-cloud environment requires unified visibility, predictive insights, and proactive cost management.”

– A worried CTO at a global consumer goods company

When a global leader in consumer goods sought greater transparency and foresight in managing its multi cloud infrastructure across AWS, Azure, and GCP, Movate’s AI powered Cloud Cost Analytics Platform delivered transformational impact:

15-20%

Cloud cost savings

60%

Reduction in manual reconciliation

Predictive

forecasts for proactive budgeting

Data-driven

insights for vendor negotiations

Business problem

As enterprises increasingly adopt multi cloudstrategies across AWS, Azure, and GCP, financialgovernance and visibility have become complex.Fragmented cost structures prevent organizationsfrom maintaining a single source of truth for cloudspend. Finance and IT teams often work in silos,struggling to align budgets with real time usage.

Reactive budgeting due to underutilized historicaldata limits agility, while the absence of predictiveinsights makes it harder to anticipate demandfluctuations.

Manual reconciliation across providers introduces inefficiencies, delays decision making, and drives overall operational costs. Enterprises need intelligent, automated platforms that unify visibility, deliver predictive forecasts, and enable proactive financial governance.

Customer challenge

A global leader in consumer products faced significantchallenges in managing its multi cloud costs. With spendingdistributed across AWS, Azure, and GCP, the organization lackedconsistent visibility for finance and IT, leading to reactivebudgeting and missed opportunities to control overspending.

Historical data was underutilized, and the absence of predictive insights made forecasting seasonal peaks or aligning demand with business needs challenging. Manual reconciliation further added overhead, slowed decision making, and constrained financial agility, leaving teams unable to gain a unified view, optimize spend, or negotiate effectively with cloud vendors.

Movate’s AI solution

Movate built an AI enhanced Cloud Cost Analytics Platform that brought billing and usage feedback from AWS, Azure, and GCP into a single source of truth using Databricks and Delta Lakehouse. Interactive dashboards (Power BI/DOMO) allowed views drilling down by region, business unit, and service category to track spend trends in real time.

Predictive forecasting models (Prophet + XGBoost) used historical consumption to gauge future costs, while automated alerts and optimization insights identified anomalies, rightsizing opportunities, and reserved instance usage. The platform provided the frontline to budget, control costs, and make smarter, proactive decisions across multi-cloud operations.

Movate AI differentiator

MovateAI solution delivered unified multi-cloud transparency and actionable insights. Cloud cost savings of 15–20% were achieved through anomaly detection, rightsizing, and proactive optimization. Manual reconciliation efforts dropped by 60%, freeing finance teams to focus on strategic planning.

Predictive forecasting improved budgeting accuracy and prevented cost overruns, while spend analytics empowered data-driven negotiations with cloud vendors. Overall, the solution enhanced financial agility, operational efficiency, and strategic decision-making at scale.