Most Amazon teams are drowning in a fragmented sea of data between sales, invent
By Jasonlandro · May 30, 2026 · Curated by George's Blog
Most Amazon teams are drowning in a fragmented sea of data between sales, inventory, advertising, AMC, brand analytics, and more.
As a result, you have to spend hours synthesizing data manually or use out of the box software that isn’t tailored to your needs
Despite all the noise about AI, you still need to synthesize all the data from the Amazon APIs and clean it before you can even begin to query it with AI
Even then, Amazon’s data from different sources doesn’t always match because of different attribution models or ways of reporting out, which can confuse gen AI models
If your workflow relies on human analysts to bridge these gaps, you aren't just slow—you are fundamentally inefficient.
Across our last 100+ accounts at Nectar, we’ve implemented a specific shift:
The Old Logic:
Spend five days pulling data to justify one strategic pivot.
The New Logic:
Direct data-source connections that answer complex queries in 30 seconds.
The Result:
A surgical approach to scaling where the speed to act is your primary competitive advantage
The brands clinging to legacy workflows are losing ground every quarter because they cannot reach a macro-level view fast enough to matter.
On Wednesday June 3 at noon ET, I’m hosting a session with Youval Peltier, Nectar’s Chief Strategy Officer and founder of our iDerive analytics platform, on what is actually possible on Amazon in 2026 when it’s comes to data and insights
We’ll break down where the high-value wins land and the make-or-buy decision every brand must face regarding their tech stack
You’ll walk away with guidance on how to improve your tech stack and how you approach analytics on Amazon
To be clear, this will not be a sales pitch
Rather, we’ll give you a variety of options on how to improve your analytics framework
You can register for the session here: https://lnkd.in/e2niSWuD
If your team is still doing five days of work to answer questions your competitors solve in seconds, you're fighting an efficiency war you've already lost.
Your data should be an asset, not a liability