Maybe you can view this as a NER-like problem. That is if all the brand/type/units can directly be identified (marked) in the text. For this a BERT-model is well suited.
It depends a bit on how much labeled training data you have, and how it is organised.
Another alternative could be to view it as a summarisation problem. I would then first consider using a seq-to-seq model, like BART or T5.