Start with the routine
A seller running a store on Ozon, Wildberries or Yandex Market does a lot of repetitive work every day: studies competitors and the niche, writes titles and descriptions, comes up with benefits, makes covers, banners and infographics, answers reviews and questions, tracks stock and sales, talks to support and customers.
The good news is that there is already an AI tool for each of these tasks. You just need to learn it and put it to work. Below is a task-by-task walkthrough.
1. Competitor analysis
Almost any general-purpose AI assistant can handle this. Take 5-10 links to competitor product cards, paste them into the tool and ask it to analyse the strengths and weaknesses of those cards, find common mistakes and suggest how to win. Instead of two hours staring at a screen, you get a condensed analysis.
This is especially useful when launching new products: load the data and get ready-made input for your own plan.
2. Descriptions and product benefits
ChatGPT works well here if you give it a solid prompt. It writes decent copy, accounts for SEO and keywords, benefits and even a specifications block. You can put everything into the prompt: which specs to include, which keywords to use, which benefits to highlight.
Example: "Write a description for a Xiaomi smart toothbrush, list five benefits without fluff, using these keywords." A prompt is simply the request you give the AI.
Start by building a prompt template, then swap in the product name and specs. Paste the template, add a new product, generate. Keep the template in a file so you do not lose it.
The same tool helps with keyword research and benefit ideas: describe your product and ask what benefits would matter to a buyer. The AI will throw out options you can apply.
Refresh the template once a week based on manager feedback or sales results. If the first version did not work, edit it at the end of the week and use the new one from Monday.
3. Visuals and infographics
For visuals, infographics and similar work, image-generation tools are a good fit. Suppose you have weak photos, a low click-through rate, no designer and no budget to hire one.
You write a prompt like "make an infographic for a bottle with a temperature indicator, white background, minimal text" and the tool returns a result you can use right away or with small edits. Style, colours and fonts are configurable.
Many teams use international services: they take more setup, but currently produce stronger results. If you do not want to dig into settings, a simpler tool is fine to test.
One lesson from a year of working with AI: a well-written prompt can deliver a result you did not expect.
4. Prompts and social content
That is why collecting good prompts is worth the effort. Useful libraries and tools include Notion.ai and FlowGPT. With AI you can write social posts, promo texts and email templates, and automate the whole flow.
Say you sell not only on marketplaces but also through your own store with a small but growing audience. You write: "Make a fun post about new scales that just arrived and are going on sale, add emotion, explain the benefit" - and get a ready post. Edit it or publish it as is. It saves serious time, money and energy.
5. Landing pages
If you want to sell outside the marketplaces and build your own online store, a website builder with a built-in AI writer can produce a lot of the copy. Tilda, for example, has an AI Writer.
Enter a prompt: "I need a landing page for a minimalist bottle I will sell to men aged 25-40 who love technology." You get a draft to work with. Change a few blocks and you are done.
6. Review replies
ChatGPT plus a well-written prompt handles review replies well. For example: "Imagine you are a polite manager of my store on Ozon. Write a short but friendly reply to a review." Then paste the customer's review: the order arrived late, the packaging was crumpled, I am unhappy. Apologise, offer help, smooth the impression.
ChatGPT adjusts the tone, adds humanity and helps write the reply. Where we might get angry and say the customer misunderstood, the AI follows an algorithm: it writes a clear, calm answer that can even soothe the buyer.
You can also prepare 10 templates for different cases and simply copy them. Happy customer - one template. Unhappy - another. Complaint about delivery - a third that explains delivery depends on the zone, not on us. Handling reviews this way takes about 3 times less time on average.
7. Sales analytics
AI inside a spreadsheet, or a spreadsheet exported into ChatGPT, can build charts, find dips and calculate profit per product. Upload the report from your seller account and ask questions in plain language.
You do not need to be an expert in formulas or statistical analysis. Just ask: "Show me which product sold worst last month." The AI returns the weakest positions.
What you gain
If you automate even half of these processes, you free up 10-15 hours a week. That is an extra day off or one less hire. More importantly, your head stops boiling from routine.
You get time for strategy, growth, new product ideas and advertising hypotheses. That is what AI really gives you.
And the trend is clear. Today AI saves 10-15 hours a week; in a year or two it may replace part of the team. Tools already exist that track purchases and stock, set prices based on demand and hold full conversations with buyers in chat. Those who start using AI now will have an advantage in speed, profitability and growth.
What to do next
Try implementing at least one AI tool - you will be surprised how much time it saves. Those who ignore these tools risk losing money and time.
