Three systems, three exports, and still no answer.
Regulated agricultural operations generate data at every stage of production and sales. When that data lives in Google Sheets, Metrc, and LeafLink with no connection between them, your team spends more time building reports than reading them.
Does this describe your reporting?
- Production and sales data live in separate systems with no integration
- Knowing whether you are over- or under-producing requires a manual pull each time
- Naming and SKU conventions differ across systems, requiring reconciliation by hand
- Reports are stale before anyone acts on them
- No consistent threshold system flags production alignment issues
- Adding a new product category means starting the reporting process over
What Armely built
A regional cultivation and processing company with three facilities and approximately $42M in annual revenue had production data in Google Sheets, sales data in Metrc, and rate-of-sales data in LeafLink. No integration layer connected them.
Armely built a Microsoft Fabric Lakehouse with Medallion architecture across Bronze, Silver, and Gold layers. Automated pipelines now bring data from all three sources into one platform, while five Power BI dashboards give the team a current view of production, sales, and alignment.
A red, yellow, and green indicator system now surfaces production-to-sales alignment at a glance, with drill-through to strain and SKU.
At a glance
| Before | After |
|---|---|
| Production and sales tracked in three separate systems with no integration | Unified Fabric Lakehouse with automated pipelines from all three sources |
| Production-to-sales alignment required manual pulls and reconciliation | Available on demand in Power BI with date-range filtering |
| SKU and naming differences required manual mapping | Standardized in the Silver layer and applied consistently across reports |
| Production alignment was checked manually with no threshold system | Red, yellow, and green indicators by category, with drill-through to strain and SKU |
| Reports required manual rebuilds and were stale on arrival | Scheduled automated refresh keeps five Power BI reports current |
| No clear path to add new sources without starting over | Medallion architecture allows new sources to connect to the existing Lakehouse |