Live component demo · Reference workflow
AI Product Development | Amazon Catalog Operations

AI Catalog Operations Agent

Amazon brands don’t need another listing writer. They need a system that watches catalog health, margin, inventory, and customer signals across every SKU — then prepares, approves, executes, and verifies the response. This reference workflow shows that operational loop; the chat demo lower down is a working build running on live public marketplace data.

Khoda Consulting Amazon-native brand Human-in-the-loop
Listing issuedetected · correctedVerified
Margin riskanalyzed · approvalPrice held
Review anomalyinvestigated · openedInvestigation open
One catalog-ops loop · three signals · three endings

One operator, a whole catalog, and Amazon moving underneath it

Catalog work doesn’t scale with SKU count. Listings drift out of compliance, get suppressed, or go incomplete — and someone has to catch each one before Amazon does.
Margin gets squeezed from several directions at once — competitor pricing, fee changes, ad costs, inventory — and reacting by reflex, matching the lowest price, quietly destroys it.
Customer signals are fragmented. Reviews, returns, and questions flag a real product or listing problem long before it’s obvious, but they live in separate places.
Every fix is a manual Seller Central action — find the SKU, check the current rule, make the change, confirm it took.

Three signals. Three different endings.

One operations loop, three SKUs. A listing-health problem is corrected and verified. A margin threat is analyzed and the agent recommends restraint, not a price war. A customer-signal anomaly is investigated and routed to a human. Detecting the problem isn’t the hard part — carrying each one through approval, action, and verification is.


AI agent · catalog operations walkthrough
Signal detected
Catalog-health scan — SKU NP-HARN-021 has a 142-character title, over Amazon’s new 75-character limit (effective Jul 27, 2026).
scheduled scan · 1 of 96 SKUs
Detect
Flags the affected SKU on a catalog-health scan
SKU NP-HARN-021title 142 chars > new 75-char caprisk: Amazon AI auto-rewrite
Retrieve rules
Pulls the current product-type requirements
product type: PetSupplies › Harnesssource: Product Type Definitions APInew: 75-char title + 125-char Item Highlights
Prepare correction
Rewrites the title from approved facts — nothing invented
title → 71 charsoverflow → Item Highlightsevery claim traced to a product field
Operator approval
Shows the exact before / after for sign-off
before / after fields shownoperator approved
Submit
Pushes the change through the listings API
submitted · Listings Items APIprocessing…
Verify
Checks downstream issues and final listing status
submission acceptedno async issuesBUYABLE confirmedDISCOVERABLE confirmedrejection → case stays open
Resolved and verified — a compliant title submitted via the Listings Items API; the submission was accepted, downstream issues monitored, and the listing confirmed BUYABLE and DISCOVERABLE.
Illustrative workflow using fictional data — not connected to a seller account.

The working components, on live marketplace data

The functions below aren’t the product — they’re the components the loop above would coordinate: market-signal and customer-signal services, a search-positioning input, controlled listing remediation, and drafting support for eligible outreach and product Q&A. Here they run as a live chat agent that chains tools on public Amazon data and grounds its output in what’s on the marketplace right now.


Find competitor dog harness brands and then optimize our listing for a no-pull padded harness, sizes XS–XL, retails at $44.99
▸ tool_use — search_competitors
{ "query": "no pull dog harness padded", "max_results": 5 }
✓ tool_result — public marketplace data · SerpAPI
5 competitors found · price range $28.99–$64.99 · avg rating 4.4★ · top competitor: 14,821 reviews at $38.99
▸ tool_use — analyze_keyword
{ "keyword": "no pull dog harness" }
✓ tool_result — public marketplace data · SerpAPI
competition: High · avg reviews: 8,204 · avg price: $34.80 · opportunity: differentiated premium positioning available
▸ tool_use — draft_listing
{ "product_name": "No-Pull Harness", "product_details": "padded chest plate, reflective stitching, XS-XL", "target_keywords": "no pull dog harness, padded dog harness" }
✓ tool_result — drafted from product facts (review required)
draft title (under the 75-char cap) + Item Highlights + 5 bullets · backend search terms checked against configured title and field constraints · prepared for operator approval
Your top competitor has 14,821 reviews at $38.99 — you’re priced $6 above market, which the listing needs to justify. I’ve drafted copy that leads with the padded chest plate and reflective stitching as premium differentiators, fit under the new 75-character title limit, and moved the rest into Item Highlights. This is a draft for your approval, not a published change. Want me to pull the top competitor’s reviews so we can address common complaints in the bullets?
Example session · snapshot captured June 21, 2026. The live demo returns current results.
Working component demo · live public marketplace data via SerpAPI + synthetic product context. The operational loop above is illustrative; the components shown here are a working build. A production version would connect authorized Seller Central data through Amazon’s Selling Partner API.
live & interactive

Try the components yourself

The working agent runs on live public Amazon marketplace data via SerpAPI. Search competitors, analyze a keyword, draft a listing.

Launch demo

The controls are the point

Public marketplace data, kept separate from authorized seller data. The live demo reads public Amazon data via SerpAPI; a production version would connect the brand’s own Seller Central data through Amazon’s Selling Partner API. The two are never conflated.
Account-changing actions require approval. Listing, pricing, and outreach actions are drafted, checked against deterministic guardrails — margin floors, permissions, and Amazon’s contact-eligibility rules — then submitted only after an operator signs off. The agent never chases the lowest price or auto-sends outreach.
Every submission is verified and auditable. Acceptance is confirmed through to final listing status, not assumed — and every signal, correction, approval, rejection, and retry is logged with the source field behind each generated claim.

One orchestrator, deterministic guardrails

A production version is one orchestrator over a persistent per-SKU state store, coordinating focused services with deterministic state transitions — not five named agents. Margin floors, permissions, and outreach eligibility lives in code, not the model. The operator or brand owner owns every account-changing decision.


Marketplace + Seller Data
SerpAPI (public) · SP-API (authorized)
Persistent SKU State Store
health · price · inventory · signals
Operations Orchestrator
owns state across every SKU
Catalog Health
schema · compliance
Margin & Inventory
pricing · stock
Customer Signals
reviews · returns
Policy & Guardrail Engine
margin floors · permissions · outreach eligibility
Operator Approval Queue
approves any account-changing action
Listings · Pricing · CRM · Tasks · Messaging
act only after approval
Submission & Outcome Verification
confirm Amazon accepted · retry · escalate
Audit & Evaluation Store
every signal, decision, and action logged
One orchestrator with deterministic guardrails — not a swarm of agents. Margin floors, permissions, and outreach eligibility live in code; nothing changes the seller account without operator approval and a verified outcome.

Grounded in current Amazon platform rules

The constraints in these workflows trace to Amazon’s own documentation — not invented product storytelling:


Buyer outreach in the customer-signal workflow follows Amazon Brand Registry Customer Reviews eligibility rules. The live component demo itself uses only public marketplace data via SerpAPI — never authorized Seller Central data.

Map your catalog operations

We’ll identify where AI, deterministic guardrails, and operator approval should each enter your Amazon workflow — and what’s worth building first.

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