How does Axial Shift's AI sales forecasting work?

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Axial builds a separate forecast model for every store. It runs multiple forecasting algorithms on up to three years of sales history and holidays, with weather as an optional store-by-store setting, blends the ones that fit that store best, and updates the forecast every day for the next 28 days. What goes into the forecastUp to three years of your sales history.Holidays, plus weather as an optional store-by-store setting. For many stores weather materially improves the forecast; for others it adds volatility, so you turn it on where it helps.Separate revenue streams, such as catering, forecast on their own when needed.How accurate is it?Accuracy depends on the brand and the store, but forecasts generally land within 8% to 14% of actual sales.Where the forecast shows upIf your brand prefers, it auto-selects the schedule template that matches the day's expected sales.The Daily Guide paces plan against actual sales and labor, up to the minute.When a shift drifts off plan, managers get a task to act on.Can managers change it?Yes. Managers can adjust the forecast for things they know are coming. Permissions control who can edit it, and you can lock it by role.Can we use our own forecast instead?Yes. Import your forecast or budget once by CSV, or send it regularly through the API, and Axial reports actuals against it.Can we try it first?Yes. Turn on forecasting at a few test stores and compare it with how you forecast today.