A calm dashboard for your sales, forecasts and product breakdowns.
RevenueLens turns your sales CSVs into dashboards with daily revenue, average ticket and product-level insights. No BI tools, no warehouse required.
How it works
1. Upload your sales CSV
Export from your POS, Stripe or internal system. Columns like date, amount, product, category are enough to get started.
2. Explore your dashboard
See total revenue, number of orders, average ticket size and top products for each dataset, over the date range you care about.
3. See the forecast
Generate a simple, transparent forecast for the next weeks based on your historical daily revenue. No black-box magic.
Workflow
Create a dataset per source
One dataset per store, client or channel. Switch between them in the dashboard to compare performance.
Slice by date range
Focus on the last 30 days, last quarter or your own custom range to see how revenue is trending.
Look at products and categories
Spot which products drive most of your revenue and which categories are lagging behind.
Demo coffee shop
Last 30 days · Sales overview
Revenue
$42,390
Orders
1,246
Avg ticket
$34.02
Top products (demo)
The internal app uses the same layout: KPIs, daily revenue chart, and breakdowns by product and category, per dataset.
Future / AI forecasts
Our forecasting engine starts simple, using transparent baselines based on your historical sales. As we evolve, we'll plug in more advanced models—but always with a clear explanation of why the forecast looks the way it does. No bullshit, no black boxes.