Given the product of the first purchase, what will the customer buy on her next purchase?

Say for example I have the following table of historical purchases:

CustomerID  OrderID     ProductType   MonthsBetweenPurch   OrderNumber
----------------------------------------------------------------------
130293699   1013448571  Womenswear    0                    1
130293699   1013448571  Tops          0                    1
130293699   1013574573  Tops          0                    1
130293699   1013448577  Sweaters      1.5                  2

130194668   1013735788  Tops          0                    1
130194668   1013445564  Accessories   1                    2
130194668   1013448575  Sweaters      0                    1

130675885   1013426777  Tops          2                    2
130675885   1013441869  Underwear     0                    1
130675885   1013448444  Sweaters      0                    1
130675885   1013448444  Accessories   0                    1
130675885   1013448444  Accessories   0                    1

where the MonthsBetweenPurch is the number of months from purchase 1 to purchase 2 and OrderNumber is whether its the first order or the second order. The other fields are self-explanatory.

The question is: Given that a customer buys certain product/products in the first purchase, what product/products will the customer most likely buy in the second purchase?

I understand that this is an association problem but I'm not sure how I should structure my data and and what algorithm would be the best to use. Any suggestions on how I could attack this problem? I'm a very junior DS so I'm still learning new stuff.