AI Sales Chatbot: Turn Visitors Into Orders

Traffic gets more expensive; orders don't follow. An AI sales chatbot turns site visitors into conversations — and into orders: product search in plain language, a price right there in the chat, an instant answer at 11 PM.

15 years. 100+ projects. One engine, running live at Royal Finance, ArendaYachts and Shoe IT.

What an AI Sales Chatbot Actually Solves

An online store pays for every visit — ads, SEO, remarketing — and only a small share become orders. Here's where the rest go, and what the bot does about each:

Shoppers can't find what they have in mind. They describe what they want in their own words, not your category tree. The bot takes the request in plain language, matches it against your live catalog, and shows a price right in the chat — the same mechanism already running live in retail at Shoe IT.
The question that would close the sale goes unanswered. Specs, sizing, delivery, what's in stock — asked at 11 PM when no operator is online. The bot answers from your knowledge base instantly, any hour.
A wrong choice becomes a return. When the buyer picks the wrong size, spec, or variant, it comes back — a cost you carry. The bot helps them get the choice right before they pay, not after delivery.
The ones who do reach out arrive as a name and a phone number. Whatever they were looking for is gone, and your manager starts over. Instead: the contact + what they were actually after + the full conversation land in your CRM. Nothing to re-ask.

This isn't about deflecting support tickets — that's the general chatbot service. It's the narrower job of turning interest into an order before it slips away.

The Sales Flow, Step by Step

A visitor describes what they want in plain language — no dropdowns, no multi-step filters. The bot matches the request against your live catalog, calculates a price on the spot, and shows it in the chat. If the visitor is ready, one tap captures their contact details and pushes a fully-attributed lead into your CRM with the complete conversation attached. Your sales team gets an instant Telegram notification. They open the CRM and already know what the person was looking for — instead of a blank contact form.

What Your AI Sales Chatbot Delivers

Natural-Language Product Search

Visitors describe what they need in their own words. No filter forms, no dead-end catalog browsing.

Transparent Pricing in Chat

Every recommendation comes with a calculated price, right in the conversation — before anyone talks to a person.

The Whole Conversation Lands in Your CRM

Contact details, what the person was looking for, and the full transcript — in one tap. Nothing to re-ask.

Your Code, Your Data

No vendor lock-in. Same engine, same standards as the rest of our chatbot work — you own the code and the infrastructure. Data stays encrypted in transit and at rest, with dedicated support through the build and after launch.

Try It Live

Reading a claim is one thing. Talking to the bot is another — open one right now and see for yourself:

Shoe IT — retail, the full pattern. The same sales engine runs in retail: product search in plain language, live pricing, one-tap contact capture, for a premium Italian footwear store. Open the Telegram bot or the widget on shoe-it.ru and run a real search. It just launched, so there are no published metrics yet — same as any new deployment. This is a working system you can verify yourself, not a results claim. See the full Shoe IT case.

This very site. The assistant on this page runs the same engine in a consulting/services variant — it answers from our own knowledge base and hands the contact plus the conversation over the same way. (It doesn't do product search or pricing — that's the retail and finance builds below.)

The Same Engine, in Finance, Charter and Retail

Royal Finance: Accuracy Under Regulation

A hybrid chatbot working across 30+ credit products from 14 partners — matching each client to the right product and collecting contact details. The regulated path runs on deterministic rules, so rates and product terms come from the database rather than generated text; the language model handles open conversation. Full data control on the client's own infrastructure.

Read the Royal Finance case study →

ArendaYachts: Search in Plain Language

Natural-language search — "yacht for 12 people in Nice, Saturday evening, budget around $800" — replaces a multi-step browse-and-form journey with a single priced conversation. Every lead lands in the CRM fully attributed, transcript attached.

On numbers, plainly: we don't publish conversion, revenue or workload figures for any of these deployments, because we haven't measured them. What we can show you is the working system — open it and judge the mechanism yourself.

Read the ArendaYachts case study →

The Engine Story

Every one of these bots runs on the same components — conversational core, RAG (retrieval-augmented generation), contact capture, CRM bridge. The vertical difference lives entirely in the plugin layer: entity schema, pricing logic, the questions the bot asks. Finance at Royal Finance, charter at ArendaYachts, retail at Shoe IT — one core underneath all of them. Your project is the plugin, not a from-scratch build.

Frequently Asked Questions

How is a sales chatbot different from a support chatbot?

A support chatbot answers questions and deflects tickets. A sales chatbot does one job: turn interest into an order. That means product search in plain language, a priced recommendation, and a one-tap handoff to your sales team — contact, requirement and transcript together, not a ticket queue. If you're still weighing a custom build against an off-the-shelf platform, our build vs. buy comparison breaks down when each makes sense.

Will it integrate with our CRM?

Yes, if it has an API. We've connected chatbots to Bitrix24, amoCRM, and custom CRM stacks (Royal Finance runs on SuiteCRM; ArendaYachts attributes through RoiStat). Tell us your stack during the free consultation and we'll confirm the integration path.

How long until launch?

4–8 weeks to an MVP with core conversation flows, product matching, and CRM integration — in line with our standard chatbot development timeline. Enterprise, multi-channel builds run longer.

What does it cost?

$3,000–$20,000+ per project, following our standard chatbot tiers — see the full pricing table on the chatbot service page. Most sales-focused builds land in the hybrid tier ($8,000–$20,000) because product matching and CRM integration are core requirements, not add-ons.

What happens when the bot doesn't know the answer, or the visitor wants a human?

The bot hands off. Every deployment we build keeps a human in the loop by design — the bot handles the conversation and captures the contact, your team closes. That's not a limitation we're working around; it's how we architect every chatbot we ship.

Pricing

An AI sales chatbot follows our standard chatbot pricing — most sales builds fall in the hybrid tier given CRM integration and product matching:

$3,000–$20,000+ per project, maintenance 20–30% of build cost/year. Full tier breakdown on the AI chatbot development pricing table.

Every project starts with a free consultation and a fixed estimate — no commitment.