How to filter pandas dataframe rows based on dictionary keys and values?

I have a dataframe and a dictionary in Python as shown below and I need to filter the dataframe based on the dictionary. As you see, the keys and values of the dictionary are two columns of the dataframe. I want to have a subset of dataframe which contains the keys and values of dictionary plus other columns.

df :

And dictionary is:

d = {
 40275: ['Book','Software'],
 39900: ['Book'],
 35886: ['Software'],
 40350: ['Software'],
 28129: ['Software']
 }

And I need the following dataframe:

>Solution :

Flatten the dictionary and create a new dataframe, then inner merge df with the new dataframe

df.merge(pd.DataFrame([{'Customer_ID': k, 'Category': i} 
                       for k, v in d.items() for i in v]))

   Customer_ID  Category  Type  Delivery
0        40275      Book   Buy      True
1        40275  Software  Sell     False
2        39900      Book   Buy      True
3        35886  Software  Sell     False
4        40350  Software  Sell      True
5        28129  Software   Buy     False