Monthly analytics reports, forecasts, and anomaly alerts — built for your business specifically. No data team to hire. No dashboards to build. Just clear numbers in your inbox.
No card required. Setup fee waived for early engagements.
We start with a 30-minute call. I learn your model, your metrics, and what questions you need answered each month.
Shopify export, Stripe, POS CSV, a Google Sheet, your booking software — whatever you have. No dev required.
I analyze the patterns, build the visualizations, write the insights, and send it to your inbox — on a schedule you define.
Your report lands on the 1st of every month. Forecast updates weekly. Anomaly alerts the moment something moves.
Combines POS sales and staffing hours to show which shifts, days, and locations actually make money — not just look busy. Used to cut hours where margins are thin and add cover where they're not.
A rolling forecast built from your own sales history, covers, weekday patterns, and seasonality. Delivered every week so you can plan staffing and ordering before the guessing starts.
A product-level margin report showing which items drive real profit, which only drive volume, and which are leaking margin through discounts or waste. Used to reprice, promote, or cut weak items.
Built from booking data — shows booked time, empty slots, provider load, and underused parts of the week. Used to fix scheduling, rebalance calendars, and improve slot usage before revenue is lost.
A client-level cohort report showing who returns, who lapses, and how long clients take to rebook. Used to sharpen follow-up timing and recover repeat business before the relationship goes cold.
Uses appointment history, cancellation patterns, and lead times to estimate booked revenue over the next 6 weeks. Used to spot soft weeks early and act before the calendar goes quiet.
A monthly project report combining invoicing, labour, and cost data to show which jobs are on target and which are drifting. Used to catch margin loss before a project is finished — not after.
A monthly cash-control report showing overdue invoices, expected cash-in, and where collections are slowing down. Used to manage working capital and avoid cash surprises before they become emergencies.
Compares upcoming workload with available labour capacity by team or role. Used to make hiring, scheduling, and resourcing decisions before bottlenecks appear — not in response to them.
A monthly stock report showing which products are likely to stock out and which are tying up cash by not moving. Used to make better reordering and markdown decisions before the shelf becomes a problem.
A location-level report comparing stores on sales, margin, and labour efficiency. Used to see which stores are genuinely strong and which only look fine when hidden inside the average.
A campaign analysis showing which promotions increased profitable sales and which only pushed discounted volume. Used to repeat the campaigns that worked and kill the ones that just eroded margin.
Forecasting is available where it adds value. New data sources, KPI redesigns, and additional analysis are scoped separately.
I built production forecasting systems inside one of Europe's largest grocery retailers, supporting weekly decisions across thousands of product lines where accuracy was not optional.
Most growing businesses do not need more dashboards or a heavier data stack. They need clear reporting, solid reasoning, and someone they trust when the numbers actually matter. That is what Clearcast is built to provide.
Behind that is both real-world experience and a strong technical foundation: a BSc in Computer Science and an MSc in Data Science from the University of Helsinki.
Setup fee waived for early engagements. Includes a free data audit before you commit.
No card required. Setup fee waived for early engagements.
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