The Chemical Deep-Dive
Finding specific chemical buyers by teaching AI to read manufacturing recipes.
A leading chemical manufacturer in Pakistan recently came up with a challenge.
Challenge: They had a stock of "Ethylamine" sitting in an overseas warehouse, but no clear list of who actually needed it.
The easy route would have been to scrape a generic list of "Chemical Companies" and call it a day.
In my experience, that’s just building on sand.
Here was the workflow:
-> Look-alikes: I identified known buyers and mapped their characteristics.
-> Qualification: I used AI to crawl domains and LinkedIn to verify if they were actual manufacturers or just distributors. 🔍
-> The "Recipe" Filter: This was the breakthrough. I used AI to analyse their specific product lines to see if "Ethylamine" was a necessary ingredient in their manufacturing process, and whether they are a regular buyer.
It wasn't about finding more leads; it was about finding the specific ones where the chemistry actually matched. 🧪
The result? I built a sample table, and it created an immediate spark.
I’m really enjoying this transition into GTME.
How are you using data to find the "needles" in your industry?
