
Amazon Seller 101: I made a small CLI to find customer pain points before sourcing
A lot of Amazon product research starts with demand, price, competition, keywords, margin, all that stuff.
Obviously useful. But ngl, I feel like sellers sometimes skip the most obvious part:
What are customers already annoyed by?
Bad packaging, wrong sizing, cheap material, confusing setup, missing accessory, unclear instructions, weird smell, battery dies too fast, product looks different from the photos, etc.
That stuff is basically free product research. If the same issue keeps showing up across competitor products, it’s either a red flag or an opportunity before you even source.
The annoying part is doing this manually. You open a bunch of competitor ASINs, read through customer language, take notes, copy/paste into a doc, then try to turn that into product specs or listing ideas. It works, but it’s slow and super easy to bias toward what you already wanted to believe.
So I made a small open-source CLI for this.
You put in an Amazon ASIN, and it gives you a quick first-pass report around customer pain points, selling points, buyer language, and listing improvement ideas. Not meant to replace seller judgment. More like a starting point before you spend hours digging manually.
Also made it CLI-based because I wanted something that could plug into agent workflows later, instead of another dashboard I have to babysit.
Curious how other sellers/agencies are doing this today. Are you actually looking at customer pain points before sourcing, or mostly relying on sales estimates + keyword tools?
Repo is on GitHub: https://github.com/mguozhen/voc-amazon-reviews