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Forecast for a footfall problem.

Dear Members,

I am required to develop a forecast for footfall of a single point of interest. I have detailed information about the customers that have visited the location (time of visit, gender, age, distance from home etc)

I am thinking of treating the problem as 

1. A time series (univariate or multivariate) classification for the customer that has ever visited the location.

2. A look alike problem, to identify customers that have not visited the location but have similar characteristics as those that have visited.

 

Help guide me if my thinking is correct. 

I am also failing to get good examples for dealing with a time series classification problem.

Thank you.

Anthony 

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