Answers pre-purchase questions
Pricing, differences between models, delivery time, warranty and instalment terms — all from your catalogue and pages, not from the model's memory.
Most visitors do not buy because one question went unanswered: does this fit my case, how long does it take, how is it different from the other option? ArtinBot's sales assistant answers from your own catalogue, pricing and terms, then hands ready buyers to your team with a summary of what they wanted.
A support bot serves someone who already bought and now has a problem; success means the issue is closed. A sales bot serves someone who has not decided yet; success means the hesitation is resolved and the conversation reaches a next step — a phone number, a demo slot, or an item in the cart.
That changes the tone, the data and the destination. A sales assistant needs the catalogue, plan differences, payment terms and limits, needs permission to ask questions back so it understands the need, and must leave something behind for the sales team. Strict mode matters even more here: a sales bot must never promise something that is not in your sources in order to close.
Pricing, differences between models, delivery time, warranty and instalment terms — all from your catalogue and pages, not from the model's memory.
Instead of listing every product it asks two or three short questions and suggests the option that matches the use the visitor described.
The phone number and what the visitor was after are recorded, so a rep does not start from zero and knows what the person wants.
Whenever a buyer wants negotiation, a discount or special terms, the conversation moves to a human with full history. The bot does not replace the seller.
With hundreds of SKUs, site search fails because the buyer does not know the exact product name; the bot guides from a description of the need.
Before a rep calls, the bot asks about scope, budget and timing so nobody spends time on an unfit lead.
Paid traffic is expensive and the decision window is short; an instant answer keeps the visitor a contact form would have lost.
The same sales knowledge works on Instagram direct and the call centre, so the answer is identical on every channel.
The usual way to hold a buyer on the page.
Answer first, lead second.
From the sources you provide: product pages, a catalogue file or a price list. If a price is not in your sources the bot does not invent a number and hands over to a rep.
Strict mode is on by default, so the bot answers only from your sources and says so plainly when unsure. Every answer cites the document it came from.
In the ArtinBot panel, where they can be viewed and exported, and they can also be pushed to your CRM.
Yes. In B2B the goal is usually qualification rather than closing: the bot asks about scope and passes a ready lead to a rep.
The widget is one code snippet and initial training runs from your site URL or sitemap; answer quality depends on the quality of your catalogue and product pages.
At the point of highest drop-off, not the most exciting one. For most businesses that point is the unanswered question, so the first practical use of AI in product sales is answering pre-purchase questions from your own real data. Forecasting and lead scoring come later and have no proper input until conversation data exists.
The free plan is enough to start — see how it answers on your own content first.
آرتینمگ
این مطالب در آرتینمگ، رسانهی تخصصی گروه آرتین، منتشر شدهاند.

پنج سناریوی رایج سازمانی که طبق چهار معیار تصمیمگیری، نصب یک ایجنت آماده منطقیتر از ساخت اختصاصی است — از تولید محتوا تا پرسشوپاسخ منابع انسانی.

قبل از نصب هر ایجنت هوش مصنوعی در سازمان، این چکلیست پنجبخشی را بررسی کنید — از هویت و دسترسی تا هزینه و بازگشتپذیری.

راهنمای کامل سه مقاله معرفی AgentsHub — از مفهوم نصب بهجای ساخت تا امنیت و چارچوب تصمیمگیری، در یک نقشه راه.

راهنمای کامل سه مقاله معرفی AgentsHub — از مفهوم نصب بهجای ساخت تا امنیت و چارچوب تصمیمگیری، در یک نقشه راه.

ساخت اختصاصی یک ایجنت هوش مصنوعی یا نصب یکی آماده از AgentsHub؟ چهار معیار تصمیمگیری و یک مسیر میانی که بیشتر سازمانها از آن غافلاند.

چرا امنیت ایجنتهای هوش مصنوعی با امنیت نرمافزار سنتی فرق دارد؟ چهار اصل امنیتی AgentsHub — هویت جعلنشدنی، تأیید انسانی، کنتور مستقل، و عدم امتیاز ویژه.
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