Run an Amazon Repricer From Computed Floors
Kuudo's Amazon repricer runs in your AI client. It reads current prices, competing offers, fees and stock through the Selling Partner MCP, then computes a floor for each SKU and proposes price changes for approval. Choose this workflow when you want to inspect the costs and rules behind each price. The shipped Skill validates proposed changes with Amazon and requires human approval. You can edit the Skill to allow unattended application under your own rules.
Use it for a clear operating job.
- Losing the Buy Box on part of the catalog
- Floors and ceilings for a repricer or Automate Pricing
- Breaking a price war with one competitor
Advertising bids or budgets, listing copy or images, inventory forecasting, or returns analysis.
Start with the task, then add your scope.
Copy this into a connected client and replace the account, date, ASIN, or threshold details with yours.
I'm losing the Buy Box on 30% of my listings. I have 200 SKUs in electronics, price range $15 to $80. Pull the data, compute a floor per SKU, segment the catalog, and give me a change-set to approve, not applied prices.A defined result, not a generic answer.
A repricing decision document with per-SKU floors, segments and rules, guardrails, and a change-set where every proposed price sits beside its floor and the rule that produced it.
- Listings, offers, fee estimates, and stock from SP-API, or your own figures in advisory mode
- Landed cost, minimum contribution, storage, return rate
- SKUs excluded for promotional or contractual reasons
- Per-SKU floors and ceilings
- Segments, rule archetypes, and guardrails
- Validated change-set with each price beside its floor
The playbook your agent follows.
- 01
Pull the data
Take current prices, competing offers at landed price, featured-offer standing, fees, and stock cover from the API, then ask the seller only for what it cannot supply.
- 02
Compute floors
Evaluate fees at the candidate price per SKU, add storage, returns, and advertising allocation, and set a ceiling too.
- 03
Diagnose the Featured Offer
Separate eligibility, landed price, fulfillment, and nobody-winning cases, since lowest price does not decide it.
- 04
Segment and write rules
Split the catalog on competitive structure and margin headroom, then assign hold, match, beat by increment, target expected price, seek high, or stock-out defence.
- 05
Validate and propose
Run every change through the listings validation preview, report what it returns, and hand back the change-set for approval.
- 06
Measure the pair
Report featured-offer share beside contribution per unit, so a bought offer cannot look like a win.
What keeps the workflow dependable.
The context and tools it coordinates.
Give your agent the complete playbook.
Connect Skills once, then start with the prompt above whenever this job comes up.