Amazon Inventory & Advertising Intelligence

Ad tools can tell you everything about your campaigns but nothing about whether you have inventory to support them. Connect your Seller Central data and your AI agent stops giving you advice in a vacuum.

Inventory-Aware Cross-Data Analysis Organic vs. Paid
AI Chat — Ads + Seller Central
You: I'm thinking about doubling the budget on my Wireless Earbuds campaign. Should I?
MAP: That campaign is doing well — 8.2 ROAS and 14% conversion rate. But you only have 342 FBA units left for that ASIN, and at the current sell-through that's about 18 days of stock. Doubling ad spend would burn through inventory faster. I'd hold off until your next inbound shipment lands.
You: What should I push instead?
MAP: Your Bluetooth Speaker has 1,200 units in stock and high organic traffic but no active ad campaigns. It's converting at 9% organically — ads could push that higher with minimal risk.

The Blind Spot in Amazon Advertising

Most ad platforms can only see your campaigns. They can't see whether you have stock to support them, or which products are already selling well without ads. That leads to real money problems.

Stockouts from Ads

You scale spend on a winner, but you've only got 3 days of stock left. You run out, your listing drops in rank, and you're worse off than before.

Wasted Spend on Bad Listings

You send paid traffic to a product with a 2% conversion rate. The listing needs work, but your ad tool doesn't know that — it only sees clicks.

Missed Organic Winners

You have products selling well organically that could do even better with ad support. But without sales data in your ad tool, you'd never know.

Keyword Gaps

Your products rank for search terms you're not bidding on, and you're bidding on terms where you have no organic traction. Without both datasets, you can't see it.

What You Can Do

Practical things that become possible when your AI agent has both your ad data and your seller data.

Check Stock Before Scaling Spend

Before increasing bids or budgets, the AI checks your FBA inventory. If stock is low, it tells you — and suggests alternatives with more stock. No more accidentally driving a product out of stock with advertising.

Try asking: "Which of my advertised products have less than 2 weeks of stock?"

Find High-Traffic, Low-Conversion Products

Cross-reference your sales & traffic data with your ad spend. Products getting lots of sessions but not converting probably have a listing problem — not an advertising problem. Fix the listing before spending more on ads.

Try asking: "Which products have high ad spend but below-average organic conversion rates?"

Compare Organic Search Terms vs. Ad Targets

Your Brand Analytics search terms show what shoppers search for organically. Your advertising data shows what you're bidding on. Compare them to find gaps — search terms driving organic traffic that you should be advertising on, and ad targets where you have no organic traction.

Try asking: "What search terms drive organic traffic to my products that I'm not bidding on?"

Spot Organic Winners Worth Advertising

Some products sell steadily without any ad support. Those are often your best candidates for advertising — the product-market fit is already there. The AI can identify products with strong organic sales and no active campaigns.

Try asking: "Show me my top-selling products that don't have any active ad campaigns."

How to Set It Up

Connect both integrations. The AI handles the rest.

1

Connect Amazon Ads

If you haven't already, add your Amazon Advertising integration. This gives the AI access to your campaigns, keywords, bids, and performance data.

2

Connect Seller Central

Add your Selling Partner integration. This gives the AI access to orders, inventory, listings, and Brand Analytics data.

3

Ask Cross-Data Questions

The AI agent automatically has access to both datasets. Just ask questions that span ads and seller data — it figures out where to pull from.

Seller Central Integration

Connect your Seller Central or Vendor Central account. Access orders, FBA inventory, catalog, and synced reports.

Seller Central

Brand Analytics Reports

Search terms, search query performance, market basket analysis, and repeat purchase behavior — all queryable through AI.

Brand Analytics

MCP Server

Access all of this from Claude, ChatGPT, or any MCP-compatible client. Ads and Seller Central tools in one connection.

MCP Setup

Frequently Asked Questions

When your AI agent can see both your ads and your Seller Central data, it can give you advice that accounts for your actual business situation. For example, it can warn you before you increase ad spend on a product that's running low on stock, or suggest advertising products that are selling well organically but aren't getting any ad support.

Not yet automatically, but it can flag products with low stock that have active ad campaigns. With Edit Mode enabled, you can ask the AI to pause or reduce bids on campaigns for low-stock products, and it will do so with your confirmation.

You can ask things like: "Which products have high ad spend but low organic conversion?", "Do I have enough inventory to support a budget increase on my top campaign?", "What search terms are driving organic traffic that I'm not bidding on?", or "Show me products selling well organically that I should consider advertising."

Yes. The advertising integration connects your Amazon Ads data (campaigns, keywords, bids, performance) and the Seller Central integration connects your store data (orders, inventory, listings, Brand Analytics). Together they give the AI a complete view of your Amazon business.

Yes. Each brand can have both an advertising integration and a Seller Central integration. The AI keeps data separated by brand and can analyze any brand independently. Agencies can compare advertising efficiency across brands while accounting for each brand's inventory and organic performance.

Make Ad Decisions with the Full Picture

Inventory, orders, organic performance, and advertising data — all in one AI agent.

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