A free AI assistant inside the seller dashboard
Ozon has added a tool that could change how sellers run their stores. It is not about advertising, logistics, SEO or product cards. It is an AI assistant that analyzes your store's performance and gives recommendations, and right now it costs nothing.
The assistant sits in the web version of the seller dashboard and is free for all sellers, with no extra fee. That may change later if it gets folded into a premium subscription, but today it is open to everyone.
Access and what it does
You open it from the icon with stars in the top right corner of the web dashboard. Access is limited to the administrator and manager roles. Advertising analysts and supply staff cannot use it unless they hold one of those roles.
The format is a chat bot. You ask a question and the system answers with specific guidance and recommendations drawn from Ozon's official knowledge base. Your message history stays private in your account.
One caution: AI tools still hallucinate and mix things up. Treat the advice as a starting point and verify it before you act on it.
How it looks in the dashboard
Click the star icon in the top right and the chat opens. You can start a new dialogue or continue an earlier one. The bot greets you as the Ozon Seller smart assistant and offers to find answers to your questions.
You can ask about analytics, logistics, supplies, SEO and keyword setup, and frame each question around your own store: how should I configure this for my shop?
Example: yesterday's store metrics
Ask "what were my store metrics yesterday?" and the assistant returns a summary. In one example it reported sales figures for the 11th, the target for the price index share, and that 100% of products carried the best-price badge and were promoted in search.
On logistics it flagged that $1,140 had been lost over 28 days because goods were not placed in Ozon warehouses, which caps potential revenue. Its recommendation was to move stock into Ozon warehouses to reduce lost sales.
This means you often no longer need to open the dashboard, pull metrics, combine them and interpret them yourself. You ask the assistant and get a full summary of your store's sales.
Example: choosing supply clusters
You can also ask how to choose clusters for supplying goods. The assistant answers like a consultant. It suggests analyzing demand geography in the sales analytics section, under sales by cluster.
It explains that the more local your sales within a cluster, the less you overpay for logistics. It points you to the system's recommendations when creating a supply request, which shows available drop-off points and clusters. You can save convenient points for large supplies and combine several shipments into one drop-off point. It also advises comparing acceptance terms.
Its key point: delivery clusters affect delivery speed and how local your sales are. Sometimes sales are limited in clusters where your goods are not stocked, and you can ship goods for several clusters from a single point.
Example: analysis and growth recommendations
A harder question: "based on my store metrics, analyze performance and recommend how to increase sales." The assistant replied that sales were down 5% day over day and gave a step-by-step plan.
- Fix lost sales from stockouts: $1,140 in sales were missed because 13 SKUs were out of stock and needed urgent supply.
- Increase product impressions by 5%, which was limiting growth. Use collections, promotion in the sales analytics section, and consider pay-per-order or media advertising for high-potential products.
- Improve product cards: conversion to cart was low, so refine descriptions, photos and specifications.
- Plan supplies ahead, analyze seasonality, and check the "supply soon" status regularly: stock covered less than 56 days.
At this stage, free out-of-the-box recommendations like these are genuinely useful. It is a basic level, but for many sellers it is a real step forward.
The era of total automation
Seller workflows are being automated on every front. Advertising used to be set up by hand with keywords and negative keywords. Then it moved to automated targeting, where you simply set a target ad cost share and the platform handles the rest.
Product card generation is next. Ozon's built-in neural networks can already create product descriptions with one click. Quality is debatable, and top sellers may not use it, but for smaller sellers without big budgets or skills, a generated description is far better than starting from nothing.
Add the AI assistant for metric analysis and ready-made recommendations, and the trend is clear: running a store is moving toward a handful of clicks. Launch ads, generate a description, ask the assistant for advice.
Less time to run a store
Managing a store used to take around 8 hours a day per store, with constant monitoring and ad management. That is dropping fast. The barrier to entry is lower and building a business on Ozon is objectively easier.
Profitability is under pressure and the number of new sellers keeps growing, but the depth of expertise needed to start selling is shrinking. A small store or side project can realistically run on 30 to 40 minutes a day.
When the same algorithms are available to everyone, competitive advantage comes down to strategy and partnerships. That is where the real difference is made now.
The squeeze on third-party analytics
Ozon once offered little beyond basic store and sales metrics. Then a wave of external services arrived for competitor and category analysis. Over time Ozon built more of its own analytics: seasonality, competitors, categories.
With the AI assistant, the platform now goes further and gives personalized recommendations based on your store. The direction is clear: Ozon is steadily reducing the value of third-party analytics services, because detailed analytics either already exist on the platform or will soon.
Expect more of what external tools offer today to appear inside Ozon and its premium subscription.
The ecosystem trap
Ozon is pulling sellers into its premium subscription, a classic ecosystem play. External services always sold paid access to fragmented data without integration into marketplace algorithms.
Ozon instead keeps sellers inside its own ecosystem. People get used to paying for a premium subscription rather than a third-party tool, because it bundles competitor analytics, category data, their own sales analytics and personalized recommendations. Each new tool is built to keep sellers inside Ozon.
The new reality for sellers
AI lowers the barrier. Launching a store and getting basic sales is now open to almost anyone. That makes the work easier, but it also means there will always be those who earn more.
The winners will be those who adapt fastest to new tools and rapid change, and who build strong partnerships with a strong team instead of going it alone.
Takeaways
Ozon's free AI assistant gives useful recommendations but needs verification. Automation simplifies store management, yet competitive advantage still comes down to strategy and adaptation.
