Data Science
Business Forecasting
3–8 weeksDemand forecastDemo
What happenedWhat’s nextLikely range
Projected demand · Q3
+18.4%
vs. prior quarter
Forecast accuracy
94.2%
validation hit rate (MAPE)
Anomalies flagged
3
this week
Stop planning on last month's numbers.
We build forecasting systems that give finance, supply chain, and operations real forward visibility: demand by SKU and region, cash flow, collections revenue, inventory, and consumption — with confidence intervals that quantify uncertainty so you plan with rigor, not optimism. Technically: we benchmark ARIMA, ETS, Prophet, and gradient methods (LightGBM, N-BEATS) with rolling-window out-of-time validation; we deliver probabilistic forecasts with credibility intervals and scenario analysis.
Use cases
- —You need to forecast sales or demand by SKU, region, channel, or season
- —You want to anticipate cash flow, collections, or expected revenue
- —You need to plan inventory and supply chain decisions with less uncertainty
- —You need forward visibility into traffic, operational load, or energy consumption
- —You want to detect abnormal changes in time series before they affect operations
Deliverables
- —Model benchmarking report with rolling-window out-of-time validation
- —Forecasting model with probabilistic predictions and credibility intervals
- —Automated update pipeline with configurable frequency
- —Interactive predictions dashboard with scenario analysis
- —Methodology documentation and uncertainty interpretation guide