Which model can solve the "sequence demand" problem?
Any regression algorithm can address this problem, to a greater or lesser degree of success- the important thing is in how you form your data.

One reasonable form to use would be a structure with one row for each day and features describing the arrival of trucks over an appropriate timeframe- say, over the past 14 days. Each row would then also have the demand for the day associated with it as the regression target.

You would then be able to train a model that predicts the demand for a given day provided the appropriate truck arrival history.