Milros Built a Data Stack That Decomposed Gold Purchase Costs Into Their True Components
Milros runs a gold business where operations are complex and the data behind them is even more so. AquiferGrowth built out the full data stack from Business Central, untangled the underlying model structure, and most importantly broke down gold purchase costs into their individual components. Decisions at Milros now run on the kind of clarity that wasn't possible before.
- Full data stack built on top of Business Central
- Underlying model structure mapped and made queryable
- Gold purchase cost broken down into its true individual components
The Problem
Before working with Aquifer Growth, Milros struggled to keep up with the operational demands of their catalog. Manual processes couldn't scale.
Complex Operations Sitting on an Even More Complex Data Model
Gold operations involve layered cost structures, multiple unit conversions, and intricate ownership and consignment workflows. The data coming out of Business Central reflected that complexity, but no one had fully mapped how the model actually worked.
Opaque Cost of Goods Purchased
The true cost of gold purchased was buried in aggregated line items. The team could see what was paid, but not how that price was constructed across the spot price, premiums, fabrication, freight, and other components that made it up.
Decisions Made Without Component-Level Visibility
Without a clear breakdown of the cost drivers behind every purchase, pricing decisions, margin analysis, and supplier comparisons were running on aggregate numbers that hid the real story.
The Solution
Full Data Stack Built on Top of Business Central
AquiferGrowth designed and built out the complete data stack, modeling the structure of how Business Central actually represented Milros's operations and surfacing it in a way the team could query and trust.
Mapped the Underlying Model Structure
Beyond the build, AquiferGrowth invested the time to genuinely understand the Business Central model, its quirks, its edge cases, and the way Milros's specific business logic interacted with it, so the data layer reflected reality, not assumptions.
Component-Level Decomposition of Gold Cost
The cost of gold purchased was broken down into its individual components for the first time. Spot, premium, fabrication, freight, and the rest are now visible as separate cost drivers that the team can analyze, compare, and act on.
The Results
Since partnering with AquiferGrowth, Milros has the kind of data visibility a complex precious metals operation actually needs. The team understands how the Business Central data model works, can interrogate it with confidence, and most importantly, can see the true cost of every gold purchase decomposed into its real components. That level of clarity has been invaluable for how Milros makes decisions.