5 AI chatbots 🤖 examples for customer support built using Crisp

You know chatbot and Crisp is like a love story that never ends. That's why in late 2023, we launched an AI support chatbot feature that lets you create automated support workflows. Here are some examples you can take inspiration from.

5 AI chatbots 🤖 examples for customer support built using Crisp

You know support chatbots and Crisp is like a love story that never ends. That's why since mid 2018, we allow our customers to deploy AI-powered omnichannel chatbots to support their customers.

Here is a list of AI support bots that have been built with Crisp.


AI-powered virtual personal shopper for Panda Tea, an online store specialized in tea

Trained up multiple data sources and a detailed knowledge base, Panda Tea Support widget provides a 24/7 support experience thanks to an AI-powered system.

Not only does it provide help during the buying experience, but also helps users grab their order status.

The result? Up to 80% of informative support request automated.


24/7 AI-powered virtual shopping assistant for Dijo, an online store selling probiotics for gut's health

The buying experience for products like dietary supplements is quite complex because people are searching to fix something really specific.

As part of their buying experience, the team at Dijo decided to release an AI-powered chatbot that supports buyers through advice and product suggestions.

How is this handled at scale? Through a carefully trained AI, the support bot provides potential customers with product recommendations depending on their requirements.


Overnight AI-powered finance assistant for Emma Finance, a b2c finance management app

Managing money is never easy, especially when you deal with consumers. They are expecting immediate case resolution. And if not, bad reviews are raining on the app store.

To go along the users' journey, the team at Emma App has release an AI-powered chatbot that support customers throughout the entire users' lifecycle.

Thanks to Crisp mobile app support chat SDKs, they've been able to embed their support experience on both mobile and desktop product.

From feature adoptions, to unsubscriptions and refunds, the bot manages it 24/7 to make sure the experience stays consistent.

The results? 130% more conversations handled without any additional headcounts


AI-powered support chatbot for Submagic, a B2B and B2C vertical video subtitle editing platform

Product-led growth companies like Submagic, are facing intense growth. Especially when you drive influencer-led campaigns that are generating spikes in signups.

End of the story, the support ends burning too. And to counterfight this, while improving customer support satisfaction, they decided to implement not one but two AI-powered tools to help with the support experience.

The AI Chatbot is the second layer of support deflection before reaching out to the "real" support team.

The first layer of deflection is the AI Search widget that offers a search engine widget on the website, powered by the company's knowledge. Try it yourself, it's pretty amazing.


[BONUS] A priority AI-powered support chatbot that detects urgent matters to make sure they are resolved first

Intent detection makes the dream work at every stage of the customer support lifecycle. In this case, Stockbit, indonesian leader in stock buying has to have a very fast first response time.

And resolution time is even more important when it comes to specific queries and use-cases.

Leveraging a customer support chatbot that detects, routes and prioritizes conversations based on customers' profile, data and urgency's requests help everyone be more happy.

How to measure AI-powered customer support chatbot ROI as a customer support leader?

In this video, you can find a step-by-step tutorial that helps you measure customer support chatbot ROI with Crisp.

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