@Ankit_smart a few points about your case and some general remarks.
This seems to be a text analytical and classification question. I have a small collection about articles and exampels:
Maybe you start with the [L4-TP] Introduction to Text Processing course.
In this case in general you might have to clear the data from numbers and then define special words that would contain meaning (or let an algorithm find them) like “printer”, “storage”. And if your classification would be different for various clients you might have to construct several model (or one model per industry).
If you could provide some sample data (without spelling any secrets) someone from the forum might be able to explore further.
A final workflow for labeling might look something like this. Though you will have to make some adaptions:
Also therte are some books to be explored From Data Collection to Text Mining and Interpretation | KNIME
If you want to learn about KNIME and Machine Learning in general there are a lot of ressources: