I would love your input, please share your genuine thoughts and perspectives.
I’ve created a tool similar to Analyzer.tools and Keepa, but significantly more advanced, with far more nuanced features and a million customizations. It essentially reduces the time spent processing wholesale spreadsheets by 90%.
I’ve now reached a point where, to scale, I would need to pause, secure a $200,000 investment, and rewrite the software.
My question is: Is the wholesale/closeout/spreadsheet-based model of business dying, or if the tool is truly exceptional, do you believe it still has a future, even if only for a few more years?
Please comment if you’ve worked with this model of business.
I personally rely much less on scanning software now, given the availability of AI agents and their research capabilities. I might consider using it again, but only if it has the ability to scan and compare product names with Amazon titles, not just scan SKUs.
Hi!
This sounds familiar; I’ve seen similar products in this niche myself.
In short, the market itself isn’t dying; it’s just long since ceased to be an “Excel market.”
Wholesale/closeout/spreadsheet workflows are still huge, especially among small and medium-sized players. They haven’t gone anywhere and are unlikely to disappear anytime soon.
But there’s a catch.
The problem now isn’t that “spreadsheets are no longer needed,” but that:
People want less manual fuss
more automation
and for a tool to not just “analyze” but help make decisions.
So, Excel as a format is alive, but as a core product, it’s gone.
Regarding your rewrite situation:
Honestly, $200k + rewrite sounds a bit risky.
Often, in such cases, the problem isn’t the code, but rather the risk of:
losing current traction
delaying development for months/years
and ultimately ending up with the same product, but “rewritten.”
I’d rather look toward evolution:
adding automation on top of the current system, rather than tearing everything down and building from scratch.
And another point:
tools that are currently winning are those that move away from “data analysis” and toward actions—like:
“upload → get a decision → the system automatically moves the process forward.”
By the way, platforms like AtomicBot are starting to appear in similar directions—they focus specifically on automating data-based workflows, not just working with tables. It could be useful as a guide for future development.