Milk Moovement brought clarity and predictability to cloud spend.

What Milk Moovement asked of Cloud Capital

Danial Shaikh could see what AWS cost Milk Moovement every month. What he couldn't see was why. Milk Moovement's supply-chain platform connects producers, cooperatives, and processors across North America in real time. As customer adoption accelerated, infrastructure costs accelerated with it. The workloads spanned data ingestion, analytics, and customer-specific deployments. Engineering was focused on performance and reliability. Finance received monthly AWS invoices that offered little explanation of cost movement.

Without a clear connection between usage trends and business metrics, forecasting gross margins or modeling customer-level profitability was nearly impossible. AWS was one of Milk Moovement's biggest costs, and the team couldn't tell finance what was driving it.

Engineering needed to stay focused on scaling the product. No infrastructure changes. No commitment strategy that required engineering to validate it on an ongoing basis. Full control of accounts and IAM stays with the team. What Milk Moovement needed was visibility into what was actually driving AWS spend, a forecasting model that could connect cloud usage to business metrics, and the financial risk of getting commitment calls wrong sitting somewhere other than Milk Moovement.

Milk Moovement would capture the savings from aggressive AWS commitment coverage. Cloud Capital would absorb the downside if actual usage fell short of forecast.

What changed for Milk Moovement

Implementation was limited to billing and account setup, IAM configuration, and data alignment. Cloud Capital integrated directly into Milk Moovement's AWS environment without changes to architecture or compliance posture. The same workflow runs across every Cloud Capital engagement, tuned to that customer's growth profile. Cloud Capital's forecasting model connected AWS usage to the business metrics that actually drive Milk Moovement's spend: customer environments onboarded, data volume processed, daily platform transactions. Daily AWS usage data flowed into the model and refreshed forecasts that fed directly into finance's planning dashboards. Each month, Cloud Capital and Milk Moovement reviewed coverage levels and laddered commitments as forecast confidence grew.

What it changed for the business

Within four months, Cloud Capital delivered a 28.4% guaranteed savings rate against on-demand AWS pricing on new commitments, net of all Cloud Capital fees, with utilization underwritten under the commercial agreement. Milk Moovement saved more than $32,000 in those four months while carrying none of the financial risk that comes with aggressive coverage. Engineering's time on cost management dropped to minimal levels.

Cloud spend stopped being the cost line nobody could explain. Finance forecasts gross margin with confidence. Engineering ships against the roadmap without commitment math on the side. Monthly review sessions replaced ad-hoc cost checks, and rolling forecasts feed directly into board and margin reporting.

Cloud is one of the largest line items on Milk Moovement's P&L. Now it's managed like one, with finance and engineering working from the same forecast, and the financial risk of optimization sitting where it belongs.