GrowthCo is a 45-person e-commerce operator running several direct-to-consumer brands. Every Friday at 2pm, four people sat in a room for four hours looking at a slide deck that was already three days out of date. That meeting no longer exists.
The Friday numbers meeting had accumulated over two years. It started as a 30-minute check-in and grew as the business grew. By the time the ops team brought in Orvixo, it consumed one analyst's entire Thursday (pulling data), four hours of meeting time on Friday, and still left the team making decisions based on Wednesday's numbers.
The ops lead described the problem: "We'd pull the CSVs, massage the spreadsheet, copy the charts into slides. By Friday afternoon, the data had aged by three days and we were debating whether a dip was a real signal or just the export timing."
GrowthCo connected their Postgres data warehouse to Orvixo in about 20 minutes. They had an analyst who understood the schema well. Over two afternoons, that analyst rebuilt the five core operational dashboards — revenue by brand, order volume, fulfilment status, marketing channel performance, and return rate — using Orvixo's natural language interface.
Each dashboard was set to refresh every 15 minutes. They embedded the dashboards in a shared internal portal that anyone in the company could access without logging into a separate tool.
"The first time our CEO checked the dashboard on a Monday morning and called me to say 'this looks different — is that bad?' I knew we'd built something that mattered. The data was actually being read."
Head of Operations, GrowthCo
The analyst who used to spend Thursday pulling data now spends that time on actual analysis — building models, investigating anomalies, and answering the questions that the dashboards surface.
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More detail on GrowthCo's architecture, the specific dashboards they built, and the ROI calculation.
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