ML technique to predict next year output based on text quantities [closed]

Question

I have a random data that I would like to predict how much a quantity will be in 2020. The data looks like this:

 year        components           total_components
 2019        [Pen, Pencil, Books       4
             Paper] 
 2018        [Pen, Pencil, Books       5
             Paper, Eraser] 
 2017        [Pen, Pencil, Books       6
             Paper, Eraser, Napkin] 
 2016        [Pen, Pencil, Books       7
             Paper, Eraser, Napkin, 
             laptop] 

In my head, I thought of time series forecasting or RNNs but the data is a bit strange to apply the techniques.

Which ML technique would you suggest here? Thanks :-)