See what’s happening now, and what’s coming next.
We turn the data sitting in your ERP, spreadsheets and tools into live dashboards, forecasts and alerts, so decisions don’t wait for someone to build a report.
Use cases
What we build
Demand forecasting
Predict SKU demand weeks ahead to cut overstock and stock-outs.
Live dashboards
Production, sales and operations numbers that update on their own.
Anomaly detection
Catch unusual transactions, consumption spikes or drops before they cost money.
Churn & risk models
Spot customers or accounts likely to leave or default.
Automated reporting
Daily and weekly summaries delivered to email, Slack or WhatsApp.
Data pipelines
Clean, join and store data from many sources in one place.
How it works
From first call to running in production
- 1
Find the decision
We start from the decision you want to make faster, not from the data.
- 2
Prepare the data
We clean and connect your sources, and check whether the history is good enough.
- 3
Model and visualise
Forecasts and dashboards built where your team already works, often inside Excel.
- 4
Monitor
We track accuracy over time and retrain when the business changes.
Tools we use: Python, scikit-learn, Prophet, PostgreSQL, Streamlit, Power BI, Plotly, Excel
FAQ
Common questions
How much data do we need?
For forecasting, usually 12 months or more of history. We check your data in the audit and tell you honestly if it isn’t enough yet.
Do we need a data warehouse?
No. Many projects run straight from your ERP or spreadsheets. We add a database only when it’s worth it.
Can forecasts appear in Excel?
Yes. Several clients get forecasts written straight into the sheets their team already uses.