AI advisor for Amazon sellers
Short answer: An AI advisor is an AI business advisor that runs on your own shop data. You ask a question in plain language about your orders, margins or stock and get an analysis with a concrete recommendation in seconds. The difference from a normal AI chat is the data source: an advisor that reads your actual numbers advises on your products instead of offering generic e-commerce tips.
Ask an AI model how to improve your Amazon margin and you get a tidy, correct and entirely unusable answer: negotiate on purchasing, reduce fulfilment costs, optimise your content.
That's not advice, that's a category. What you need is your product with the falling margin, and which cost component caused it. A model can only answer that if it reads your figures. The difference isn't the model — it's the data it can reach.
Today | Waiting time | With an AI advisor |
|---|---|---|
Agency or consultant | Until the next monthly review | Immediate answer, 24/7, on live shop data |
Colleague or analyst | Until someone has time to pull data | You ask yourself, in plain language |
Your own dashboards | Building filters and pivots for one answer | One conversation, one answer with a recommendation |
The real effect isn't time saved per question — it's the number of questions you ask. Analyses that cost half an hour of reporting stay undone. When a question costs thirty seconds, you actually ask it.
Analyses on demand. Margin per product, cost build-up, sales trends, stock positions — answered in seconds with the numbers attached.
Insight turned into action. Not just "product X is falling", but what caused it and what you can do: your price, your cost structure, your product information.
Follow-up questions. This is the core. You start at one figure that stands out and peel back the cause in five questions. A dashboard shows you that something is falling. An advisor lets you find out why.
Questions Amazon sellers actually ask:
Where can I gain the most profit in my shop?
Build a sales and margin analysis for this year.
Build a P&L for the past twelve months.
Which products delivered revenue last month but barely any profit?
Which product gains most from better product information?
Which products need replenishing?
Which products perform better on my other channels than on Amazon?
Decide. It delivers patterns and explanations. Whether you raise a price or phase out a product stays your call.
Calculate flawlessly. A language model can slip. Verify figures a decision hangs on.
Repair bad input. If your purchase prices and costs aren't correct in your system, you get confident answers built on wrong margins. Make sure your cost structure is right first.
Know your market. What your competitor did, or that you ran a promotion in May, it doesn't know unless you tell it.
Rylee's AI business advisor, ChatRylee, combines AI with your shop's actual results. No generic tips: it reads your live figures and advises based on your real performance, your range and your margins.
Data source | What you ask it |
|---|---|
Order data | Volume, patterns, development per period |
Sales data | What sells, what stalls, per channel |
Cost data | Where costs rise, and why |
Margin data | Contribution margin per product and consolidated P&L |
Stock data | What needs replenishing, and when |
Product content | Where better product information gains profit |
All of it across Amazon (every European marketplace), bol, Kaufland, Shopify and WooCommerce at once.
Live in three steps: connect your shop; the AI indexes your orders, margins, costs and content, privately per seller on EU hosting; start asking. You begin with 14 days free, and existing Rylee customers get a number of daily interactions included.
Prefer your own AI environment? Rylee's MCP connection plugs the same data into ChatGPT, Claude or an automation tool. Need more than the standard? Rylee also builds custom AI solutions for Amazon and marketplace sellers: dedicated agents, ERP or PIM integrations and automations.
Start 14 days free and ask your first question about your own numbers.
What's the difference from using ChatGPT? The data source. A generic model doesn't know your figures and gives general advice. An advisor reading your orders, costs and margins answers about your products.
How long does setup take? Minutes. You don't need to build dashboards before your first question.
Is my data separated from other sellers? Yes — indexed privately per seller, hosted in the EU.
Is it useful with a small range? With five products you can hold it in your head. The value starts once you run multiple channels or dozens of products.
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