🔮 Forecast Demand From Your Own History

We plan by assuming next month looks like last month and it never does. Build me a demand forecasting app. Take my own historical demand, whether that is orders, jobs, visitors or units, by period and by category, ideally across at least two years so seasonality is visible. Produce a forecast for coming periods as a range rather than a single number, showing the underlying trend and the seasonal pattern separately. Let me record assumptions and known future events such as a promotion, a lost customer or a new site, as adjustments with a note, so the forecast can be argued with. Record every forecast made and later compare it against what actually happened, reporting accuracy over time. Add an AI agent that explains in plain language what is driving the forecast, which periods carry the most uncertainty, and where our forecasts have historically been biased in one direction so I can correct for it. Automate two things: a scheduled monthly forecast refresh, and an alert when actual demand falls materially outside the forecast range. Two logins: a planner who maintains assumptions, and an owner who reviews.