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E-commerce: 10 Scenarios That Really Increase Revenue

Many e-commerce stores still see a chatbot as nothing more than an interactive “Frequently Asked Questions” (FAQ) page. But in the era of advanced artificial intelligence, that’s untapped potential. A modern AI chatbot is no longer just an “answer bot” — it’s a digital sales rep that can guide customers through the entire buying journey, address doubts, and motivate them to complete the purchase.

If you’re looking for a way to turn automation into real profit, take a look at 10 specific scenarios that have a direct impact on revenue.

1. Intelligent shopping assistant

Instead of complicated clicking through category filters, one question is enough: “I’m looking for a family tent for the mountains — what do you recommend?” A chatbot acting as a Product Recommender asks about budget, experience, and preferences, and based on catalog data instantly suggests the best-fitting models. A shorter path to the right product means a higher conversion rate.

2. Relevant cross-sell and upsell

An AI chatbot understands context. If a customer has a coffee machine in their cart, the bot won’t offer random items — it will ask: “Did you forget a grinder or freshly roasted beans that match this model?” This subtle cart assistance effectively increases the average order value (AOV).

3. Real-time abandoned cart rescue

Most tools address abandoned carts later via email, with a delay. An AI chatbot can intervene sooner. If a customer hesitates, navigates back from the cart, or spends an unusually long time on a page, the bot can ask: “Do you need help with shipping, or do you have a question about the warranty?” Often, it’s exactly this final nudge that determines whether the customer actually buys.

4. Instant availability and compatibility info

Questions like “Will this case fit an iPhone 17 Pro?” or “When will you restock the blue dress in size M?” make up a large share of customer support workload. A chatbot connected to your inventory system can answer in seconds. Speed matters. If a customer has to wait for an email, they’ll likely buy from a competitor.

5. Order tracking without waiting

“Where is my package?” is the most common question in e-commerce. A chatbot or voicebot simply asks for the order number, checks the system, and shows the current status. Customers are happy with instant information, and your support team is free to handle more complex tasks.

Tip: Implementing an AI assistant can reduce customer service workload by up to 80%, freeing capacity for proactive sales.

6. Effortless returns and exchanges

Returns are often stressful for customers. A chatbot guides them step by step, generates a shipping label, and can even offer an alternative within the conversation: “We also have the same item one size larger — would you like us to reserve it instead of processing a refund?” This way, you don’t lose future revenue.

7. Support for email and SMS campaigns

An AI chatbot works as an “extended arm” of your marketing. Combined with email or SMS, it can smoothly continue ongoing campaigns. If a customer clicks a link in a promotional email, the chatbot welcomes them on the website and is ready to answer questions about the offer, explain conditions, or help them choose from the latest products.

8. Instant product comparisons

Customers often hesitate between two similar products. Instead of opening ten tabs, they can ask: “What’s the main difference between these two robot vacuums?” An AI product advisor pulls key parameters such as suction power and battery life and sends a clear comparison that makes the decision easier.

9. Helpful post-purchase information

It doesn’t end with the purchase. Shortly after checkout, the chatbot can offer links to tips on how to use the product correctly, share a video tutorial, or recommend suitable accessories. Post-purchase care builds trust in the brand and increases the likelihood the customer will return.

10. Natural feedback collection

Getting customer ratings can be tricky. But an AI chatbot can do it naturally and without pressure. After the purchase, it can reach out and ask for quick feedback, a star rating, or a written review. Everything happens through a natural chat conversation, which is far more convenient than clicking through external surveys. This significantly increases the number of collected reviews, building trust for future shoppers.

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