A shopper asked about sizing late at night, got no reply until morning — and went to a competitor. The cart sat abandoned without a single reminder. An AI assistant replies within seconds around the clock, brings the customer back to checkout, and takes the flood of repetitive questions off your support team. We start with a free automation map: in 14 days we analyze your store's processes and show where AI will truly pay off.
Below are the bottlenecks AI implementation solves specifically in this niche — no generic talk.
A shopper asks about sizing, materials, stock, or delivery times late at night or on a weekend. The AI consultant replies within 30 seconds, drawing on your catalog and product pages, guides the shopper to checkout, and keeps the customer from slipping away before support opens.
Market data shows fewer than half of assembled carts make it to payment. AI tracks the moment a customer leaves and triggers a personalized message via messenger or email — with a reminder, an answer to a likely objection, and a direct payment link.
Where is my order, how do I return an item, will this fit — these questions eat up your agents' time. AI closes routine requests on its own, pulls order status from your system, and hands humans only the complex cases with the context already gathered.
Collecting requests from multiple channels, clarifying details, and entering them into your CRM and inventory system takes hours. AI receives and structures the order, checks the data for completeness, and passes a ready-to-go request into your system without manual copying.
Implementation runs in stages: first a free automation map, then a single-scenario pilot with measured results, then scale. You pay for measurable outcomes, not for technology.
We analyze your store's funnel, inquiry channels, and recurring routine. The output is a map of the points where AI delivers results, with priorities and an impact estimate. Free, with no obligation to continue.
We take one scenario — say, an AI consultant in chat or abandoned-cart recovery — and deploy it on live traffic. We measure real metrics on your data, not on promises.
We roll out the pilot-proven scenarios across the entire store, connecting them to your CRM, catalog, and inventory system. From there we maintain, retrain the assistant, and expand the automation.
You start with a free automation map. From there, you pay for measurable results in hard numbers — not for technology.
The automation map is free: in 14 days we analyze your processes and show exactly where AI will pay off in your store. A single-scenario pilot starts from 90,000 ₽. Turnkey implementation is quoted individually: the price depends on the number of scenarios, channels, and integrations with your CRM and inventory system. After the map you receive a precise estimate and decide whether to proceed.
No. AI removes the routine — typical product questions, order statuses, cart reminders — and hands complex cases to a human with the context already gathered. Agents and managers stop drowning in repetitive requests and focus on where a real person is needed: disputes, large orders, customer retention.
The assistant sees that a shopper added an item but never paid, waits a set interval, and reaches out first — via messenger or email. The message includes a product reminder, an answer to a common objection (price, shipping, doubt about the choice), and a direct payment link. Intervals, channels, and tone are tuned to your store so the reminder never feels pushy.
Usually not. The AI assistant connects to your website, chat, and messengers, pulling product and order data from your existing catalog, CRM, and inventory system through integrations. During the automation map we verify compatibility with your platform and flag in advance anything required for the connection.
The automation map takes up to 14 days. After that, a single-scenario pilot typically goes live on real traffic within a few weeks — the exact timeline depends on catalog readiness, CRM access, and the channels you choose. We deliberately start with one area so you see results on real data before scaling.
My name is Vladislav, I am the founder of Edemium. I run your project personally: the audit, the solution architecture and the metrics, without a layer of managers who «will check with the tech team».
Behind me are 100+ of my own services in production and a relevant degree: RTU MIREA, business informatics. I do not sell technology for its own sake: at the audit I will honestly say where AI pays off and where a normal CRM setup is enough.
Start with the automation map: in 14 days we'll show where your processes are losing money and what can be automated.
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