Also, quite recently, we started an experiment with a new ML model in which we are trying to improve Pickup time. In addition to the same data as for Last mile, we transmit the average bill of the order, thereby better predicting the cooking time. And this, as we know, is reflected in the entire forecast.
In the future, we have a full transition to forecasts from the ML model for all segments of the route.
In fact, there are still many places to improve forecasts, but now there is a problem that I would like to talk about.
We do not control the route that couriers choose to deliver the order. This may mean that we calculated the time on one way, and the courier chose another. Naturally, the forecast will be inaccurate. Perhaps one of the solutions will be hints to couriers which way to choose to control the time on a particular route.
In addition, snowfalls and frosts greatly affect the speed of movement. There are already plans to use their own weather service to adjust this speed.
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