Utilizing ML for our product matching algorithm? • /r/MachineLearning

I'm working on a project in the e-commerce field involving product entity matching (given 2 product listings from 2 different marketplaces, such as Amazon and eBay, determine if they are the same product) I'm a real newbie in ML but I am deeply excited by it, and I was thinking of several ways we could potentially utilize ML to improve our matching algorithm. This one is maybe far-fetched, but perhaps we can use Deep Learning to do practically all the work by itself? I'm really clueless about how I would train for these purposes, would I need to manually create a gigantic dataset (especially for no. I'd love to hear feedback from you guys if I'm just talking nonesense or is there any potential to what I'm thinking?