--- title: "AI for Amazon Sellers: From Product Idea to Profit | Kylon" description: "AI agents for Amazon sellers: product research, supplier quotes, listings, FBA shipments, ad reviews, competitors and weekly profit in one Room, with your team approving what goes out." url: "https://kylon.io/use-cases/amazon-sellers" language: "en" --- Kylon use case · Amazon sellers # From product idea to profit on Amazon. Research, suppliers, listings, FBA, ads, competitors and profit, in one Room with your team. An agent pulls the numbers and drafts the work. Nothing reaches Amazon, a supplier or a buyer until someone on the team says ok. [Start free](https://app.kylon.io/sign-up) [Book a demo](https://kylon.io/demo?from=lp-amazon-sellers-hero&page=%2Fen%2Fuse-cases%2Famazon-sellers) The tools you have open today ![An Amazon product page, a search term report and a Seller Central stock alert, each with a Kylon result underneath](https://kylon.io/assets/lp/amazon-sellers/hero.webp) Pinewell Kitchen, its people and its numbers are made up for the film. Product names and logos belong to their owners. Your week ## The jobs you already know, finished in one Room. Each card is a tool a seller has open every week. Underneath is what came back from Kylon, and who signed it off. ![Black Box, an Alibaba quote, a suppressed Seller Central title, a 9 day stock alert, a search term report, a Keepa price chart and a sellerboard summary, each with a Kylon result](https://kylon.io/assets/lp/amazon-sellers/week.webp) Step by step ## One product, from the first idea to the weekly profit. The same Room as the film. Each step opens a tab of the team’s own Kylon App, laid out like the tool it replaces. 1. _01_Research ### Pick the next product Today Black Box filters, Keepa charts and a spreadsheet to compare niches. In Kylon **Atlas**_Amazon ops_Atlas reads the top 100 listings in four niches through ASIN Data API and ranks them by demand, price, reviews and margin. Who decides **Maya**Maya picks the product. ![Research tab of the team's Kylon App: four niches ranked, pantry jars marked best fit](https://kylon.io/assets/lp/amazon-sellers/step-research.webp) 2. _02_Supplier ### Get the factory price Today Quotes spread across an Alibaba inbox, email and a comparison sheet. In Kylon **Atlas**_Amazon ops_Atlas compares three factory quotes from Sofia's Gmail and drafts the counter offer: $3.85 a set for 2,000. Who decides **Sofia**Sofia sends it. ![Suppliers tab: three factory quote cards and the counter offer email](https://kylon.io/assets/lp/amazon-sellers/step-suppliers.webp) 3. _03_Listing ### Write the product page Today The Seller Central listing form, and a title that gets suppressed for a banned phrase. In Kylon **Atlas**_Amazon ops_Atlas drafts the page in the brand's voice and takes “Best Seller” and “Free Shipping” out of the title. Who decides **Maya**Maya approves, then uploads it in Seller Central. ![Listings tab: an Amazon style product page preview with the banned phrases struck out](https://kylon.io/assets/lp/amazon-sellers/step-listings.webp) 4. _04_Inventory ### Ship to FBA Today Send to Amazon: units, box counts, weights and labels, then the shipping queue. In Kylon **Atlas**_Amazon ops_Atlas plans 250 boxes of 8 and follows the shipment in Seller Central until all 2,000 sets are checked in. Who decides **Sofia**Sofia creates the shipment. ![Inventory tab: stock at Amazon, the Send to Amazon box plan and the shipment queue](https://kylon.io/assets/lp/amazon-sellers/step-inventory.webp) 5. _05_Ads ### Review the ads Today The search term report, colored red and green by hand every week. In Kylon **Atlas**_Amazon ops_Kenji asks for the weekly review. Atlas pulls last week's search terms from Amazon Ads and lists six changes, with the numbers behind each one. Who decides **Kenji**Kenji decides what goes live. His note becomes a rule for next time. ![Ads tab: a Sponsored Products view with the search terms and the suggested changes](https://kylon.io/assets/lp/amazon-sellers/step-ads.webp) 6. _06_Competitors ### Watch competitors and reviews Today Price charts and review tabs, checked one by one. In Kylon **Atlas**_Amazon ops_Every morning Atlas checks prices and reviews. A competitor cuts $5 and three reviews say a lid doesn't seal, so Atlas drafts a note to the factory and a reply to a buyer. Who decides **Sofia**Sofia sends both. ![Competitors tab: a 30 day price history and review themes](https://kylon.io/assets/lp/amazon-sellers/step-competitors.webp) 7. _07_Profit ### Know what you made Today Payments reports and a profit tool, reconciled every week. In Kylon **Atlas**_Amazon ops_Sofia asks how much they made. Atlas pulls the payments report from Seller Central: $1,169 net profit on the jars in week 5, up from $940. Who decides Nothing to approve. The numbers stay in the App for the whole team. ![Profit tab: weekly results and net profit by product](https://kylon.io/assets/lp/amazon-sellers/step-profit.webp) What it works with ## Your Amazon data, your inbox, your team. Your agent works through the accounts you connect and the reports you already pull. People in the Room see every step and sign off on what goes out. Connection **ASIN Data API** Prices, sales ranks and reviews for any listing, yours and your competitors'. Connection **Gmail** Factory quotes, buyer questions and Amazon's emails. Every draft waits for someone to press Send. Connection **Google Sheets** Your cost sheet and anything the team still keeps in a spreadsheet. Your access **Seller Central** Sales, stock, shipments and payments, through your own Selling Partner API access or the reports you already download. Your access **Amazon Ads** Search terms and campaigns, through your Amazon Ads API access or the report file. Your workspace **Your team** The owner, whoever runs ads and whoever ships. Each one approves the work that is theirs. Set it up ## Start with last week’s numbers. 1. 1**Make a Room for your store**Invite whoever runs sourcing, shipping and ads. 2. 2**Connect what you use**Gmail and ASIN Data API from Connections. For Seller Central and Amazon Ads, add your API access or drop in last week's reports. 3. 3**Ask your first question**“How did last week go?” Your agent answers in the Room, with an owner on everything that needs a decision. Set-up prompt I sell on Amazon. Set up our store's week in Kylon with me, one step at a time, and show me each result before you move on. 1. Make an App for our store with tabs for Research, Suppliers, Listings, Inventory, Ads, Competitors and Profit. 2. Connect Gmail and ASIN Data API. For Seller Central and Amazon Ads, ask me for API access, or I will upload last week's reports. 3. Every Monday, sum up last week's sales, ad spend and stock, and list only what needs a decision, with an owner on each item. 4. From the search term report, list keywords to add, negatives and bid changes, with the numbers behind each one. 5. Every morning, check competitor prices and new reviews, and draft replies for us to send. Rules: never send an email or change anything on Amazon without approval from the person who owns that item. [Use this in Kylon](https://app.kylon.io/launch/lp:amazon-sellers) ## Run your Amazon week from one Room. Start free, connect Gmail and your reports, and let an agent post your first Monday check. Nothing goes out until your team says ok. [Start free](https://app.kylon.io/sign-up) [Book a demo](https://kylon.io/demo?from=lp-amazon-sellers-closing&page=%2Fen%2Fuse-cases%2Famazon-sellers)