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When your data is late, so is your strategy.
Forecasting is often owned by experts or buried in spreadsheets. Whether it’s sales projections or demand planning, most teams rely on historical trends, not predictive signals — and that leads to overstock, underperformance, and reactive decisions.
Get fast, explainable predictions — and act before the curve.
Orbital lets any business or operations team forecast sales and demand with just a few clicks. Upload your dataset, ask questions in natural language, and deploy predictive models that show not just what will happen — but why.
Import historical data
Upload a dataset or connect a live data source like your CRM. Orbital detects your structure and prepares the data — no prep needed.
In this case our historical data are a sales files, with informations about stores and stocks by product lines.
Clean and transform your data
Detect and clean missing values, inconsistent formats and outliers.
Orbital cleans your data and enriches it with derived variables (frequency, recency, tenure, etc.) to boost prediction quality — no SQL, no preprocessing scripts.
Analyse and understand your data
Use Orbital’s agent to uncover trends, seasonality, and correlations without formulas or dashboards.
Run predictive models for sales or demand
One click builds your model, shows forecast accuracy, and explains which variables (region, channel, product, time) drive your trends.
Build your own dashboard and activate insight
Adjust inputs (price, seasonality, stock) and see the forecast shift in real time. Share your insights instantly with stakeholders.
