For determining the number of balls, i had an idea but not sure of how well it’d fit in. Could you feed the listing title, unit count, and description into an LLM with a basic “figure out how many balls are in this listing and make sure that number makes sense with the price” prefix prompt and then store that number with the ASIN? One LLM call per product should be pretty low cost, and it could automate a bunch of repetitive manual work
As much as I love simple deterministic things, this is a classic example of where NLP is better than hardcoding a list of keywords. Trying to guess every set of quantity keywords with various spelling, punctuation and how they interact ("1dzn box, two pack" is actually 24 balls) seems more brittle than an LLM.
You're probably right. I can see how LLM is the better way to approach this. I haven't looked into AI usage fees or anything, but I would think the amount of queries I'd send wouldn't be that expensive. I'll look into it.
For determining the number of balls, i had an idea but not sure of how well it’d fit in. Could you feed the listing title, unit count, and description into an LLM with a basic “figure out how many balls are in this listing and make sure that number makes sense with the price” prefix prompt and then store that number with the ASIN? One LLM call per product should be pretty low cost, and it could automate a bunch of repetitive manual work