Connect Amazon Ads and Seller Central to Claude, ChatGPT or Gemini. Ask what changed, find where you are losing money and know exactly what to do next.
No card · Cancel anytime · Changes only on your instruction
Works with
ChatGPTClaudeGeminiYour own agents
AIExample — sample data
What is happening in my Amazon business this week?
Here is what you need to know.
Revenue
↑ 8.4%
Profitability
↓ 3.1%
Advertising
₹48,200
Inventory
3 at risk
Products
2 declining
Team
4 pending
Your biggest concern is not advertising. Product X’s conversion fell 17% while its ad spend rose 21%.
Investigate Product XChanges only on your instruction.
Try a question
₹265.9 Cr
In sales across the accounts we manage, to date
₹39.8 Cr
In ad spend across the accounts we manage, to date
35.6 lakh
Orders across the accounts we manage, to date
Since 2019
Running Amazon accounts daily
Lifetime Amazon Ads console totals across accounts we manage; not a single client’s result or a forecast.
You do not need another dashboard.
You need an answer.
Amazon already gives you hundreds of reports. Access to data has never been the problem.
What changed?
Why did it happen?
What matters most?
What should I fix first?
Did my team actually do it?
Did the change work?
Amazon data→ScaleSKUs→Your AI→Decision→Action
Do not ask what changed.
Ask what it cost you.
Example — sample data
₹54,200a month, wasted
884 search terms with zero orders₹81,800
8 out-of-stock products still advertising₹2.59L
25 budget-capped winners₹13.3L
“What should I fix first?”
1Fix out-of-stock advertising₹2.59L recovered, same day
2Cut waste on zero-order terms₹81,800 redeployed
3Raise budgets on constrained winners₹13.3L of missed sales in reach
Example — sample data. With your account connected, every figure is computed from your own numbers.
An analyst. Not another dashboard.
Nobody has to learn a new interface. The expertise arrives inside the AI your team already types into.
ChatGPTClaudeGeminiYour own agents
One connection.One source of truth.One conversation.
The ScaleSKUs loop
Intelligence that closes the loop.
See
Read your live Amazon business, across ads, retail and stock.
Decide
Identify the highest-impact actions, ranked by rupee value.
Act
You approve. ScaleSKUs executes against the Amazon API.
Evaluate
Measure whether it worked, seven days later, against the claim.
Remember
Keep the context, so the next decision starts where this one ended.
Recommendation to result
You approve. It acts. It checks.
Example — sample data. One exchange, from the first recommendation to the seven-day verdict.
ScaleSKUs
Three campaigns are above your target ACoS. Reducing bids on 14 targets could recover ₹54,200 a month.
You
Do it, but leave Brand Exact untouched.
ScaleSKUs
13 bid reductions applied. Brand Exact untouched. Every change logged and reversible.
Seven days later
Automatic check
The recommendation said ₹54,200. Here is what actually happened.
Spend
↓ ₹51,800
Ad sales
Flat
ACoS
↓ 1.9 pts
Recommendation validated
For business owners
Walk into every review knowing more than the room.
Instead of receiving a report from the person responsible for the account, ask your own AI first.
Know firstbefore the review starts
“Why did sales fall?”
“Where are we wasting money?”
“What did the agency actually change?”
“Which products are declining?”
“Are we growing profitably?”
“What is the biggest opportunity this week?”
It evaluates the ads.
And it evaluates the work.
Whatever was agreed in the last review, checked against what actually reached the account.
Example — sample data
Agreed
Scale these 6 ASINs.
Done · 6 of 6
Budgets raised on the Monday. Ad sales up 14% over the fortnight that followed.
Agreed
Cut wasted spend.
Partial
640 of 884 zero-order terms addressed. The remaining 244 still carry ₹22,400 a month.
Agreed
Launch the three new campaigns.
Not started
Agreed 21 days ago. Nothing created. No campaign has appeared in the account.
This is not micromanagement. It is independent operational intelligence — so the person running the account gets credit for what worked, and nothing agreed quietly disappears.
Everything it can see.
15 data surfaces. One conversation.
Business
Sales
Profitability
P&L
TACoS
Business health
Advertising
Campaigns
Targets
Search terms
Budgets
Automation
Products
ASINs
Listings
Catalog
Inventory
Market
Competitors
Market share
Brand Analytics
Search Query Performance
People
Team activity
Agency activity
Plan vs done
Change history
The connection
Give your AI access to your Amazon business.
Standard MCP connection over OAuth 2.1. No API keys to paste, no files to upload.
01Your AI asks the question, in your own words.
02ScaleSKUs retrieves only what that question needs.
03The account data is computed, not summarised by a model.
04The answer returns grounded in your figures, with the source.
Source
Amazon Ads + Seller Central
↓
Layer
ScaleSKUs intelligence layer
↓
Protocol
MCP over OAuth 2.1
↓
Client
ChatGPT · Claude · Gemini · your agents
AI that advises.
You stay in control.
Said plainly
Amazon issues no read-only credential. The authorization is full access by design — that is the API, not our choice. What we control is our behaviour with it.
No scraping — only Amazon’s official APIs.
OAuth 2.1 — no API keys to paste or store.
Organization-scoped access, row-level security.
Nothing changes in your Amazon account except on your instruction — an action you or your team approve, or an automation you switch on.
No. This sits alongside whoever manages the account. It makes their work visible and faster, and gives you a way to check that what was agreed happened.
Is this another dashboard to learn?
No. You ask in ChatGPT, Claude or Gemini, the way you already type. Dashboards exist in the product if you want them, but nobody has to open one.
What if the AI makes something up?
It answers only from what is in your account, computed rather than recalled. If the data is not there, it says so instead of guessing.
Can it change my campaigns on its own?
Only on your instruction — an action you or your team approve, or an automation you switch on. Every change is logged with its previous value, and can be reversed.
How long until it is useful?
Your first audit lands within six hours of connecting. Full history takes about a day, because Amazon rate-limits how fast anyone can pull it.
What happens during the 30 days?
You connect your account and get the full software tier free. No card, and nothing is charged if you walk away.
Stop waiting for the report.
Ask your Amazon business what happened.
1
Connect your account
2
Ask your first question
3
See what it finds
No cardNo contractChanges only on your instruction
Talk to our AI voice assistant
This is an AI, not a person. When you start, your microphone audio is streamed to our speech-AI provider, Sarvam AI (India), so it can answer you, and the conversation may be recorded and transcribed, with a summary kept so we can follow up. Don't share passwords or payment details. Privacy policy