How to predict a textual field on the basis of input features

Question

I'm stuck with a problem statement of predicting an identifier for a product on the basis of couple of product features. A sample of data available to me looks like the one shown below:

ABC10L 20.0 34 XYZ G345F FG MKD -> 000000DEF_VYA

Here, ABC10L,20.0,34,XYZ,G345F,FG,MKD are the features and 000000DEF_VYA is the unique identifier associated with the product. Initially I tried to formulate this problem as a regression problem but I'm not sure how to generate textual output from my model and what should be my cost function. Also, I'm not sure is regression the right tool to solve the issue here.

Please help in suggesting the right approach and how I may proceed to solve this !!!