AIChatbot.so
Zendesk
Chatfuel
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AIChatbot is an AI powered conversational chatbot builder for customer service. AIChatbot enables you to create a custom GPT chatbot trained from your own data. This is achieved by uploading your website URL, PDF files, or sitemap.
The AIChatbot can respond to customer inquiries in over 100 + languages and provides the convenience of embedding the chatbot widget directly onto your website
And the best part ?
You will be able to automate drafting email support responses 10x faster and many more
ChatBot is a platform that lets you create your own chatbots with no programming skills.
Design smooth conversational experiences to build better relationships with your customers. Send dynamic responses that encourage customers to chat and interact. Mix and match text, images, buttons, and quick replies to show off your brand, products, and services.
Use ChatBot on different platforms and channels using one-click integration (Facebook Messenger, Slack, LiveChat, WordPress, and more). Connect your chatbot to just about anything you can think of using open API, webhooks, and Zapier.
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AIChatbot.so's answer
Python. Next.JS. Open AI etc
AIChatbot.so's answer
Bloggers Customer support Small businesses
AIChatbot.so's answer
AIChatbot distinguishes itself from other AI chatbots through its cutting-edge Natural Language Processing (NLP) capabilities, which prioritize comprehending the underlying meaning of user inputs rather than merely their surface expressions.
It excels at addressing spelling and grammatical errors, syntax mistakes, and colloquial language, but what sets it apart is its ability to not only automate text-based responses but also generate email responses for all email queries and tickets, streamlining lead generation processes.
All of this is achieved with significantly less involvement from your team, in stark contrast to other alternatives that demand countless hours for composing and responding to just 30% of email queries.
Our primary focus is on the quality of the responses AIChatbot generates, recognizing this as a major challenge for customer support teams.
AIChatbot.so's answer
Few years ago, when we launched our first product, the biggest challenge we experienced was managing customer support In different time zones in multiple languages and responding constantly to our prospects and customers.
80% of our customer support was mostly common inquiries that consumed a significant amount of our time, it was very exhausting for the team.
The innovative solution of Open AI was an opportunity for us to jump in to tackle our own problem which led to the birth of AIchatbot.
We have been using AIchatbot in-house for all our customer support for a while and it has saved us a tremendous time and resources.
We hope and believe our innovation solution can help your business scale customer support challenges too.
Based on our record, ChatBot seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Intercom, Solvvy, chatbot.com, helpshift etc the list goes on. Source: over 1 year ago
Engineering is definitely going to be the harder path to take to get into Ai but also more lucrative. I started off in UX design which is in high demand right now, everyone is looking for designers. Many places offer quick design certificates but do your research before picking one. Build up a portfolio of work that you've done. Play around with bot builder programs like IBM's Watson. Check out chatbot.com, they... Source: over 2 years ago
So my tips for you would be: create a personal website (I like squarespace), learn how add a bot to your site using programs like chatbot.com, start networking (LinkedIn is helpful), start building a portfolio of case studies, watch lots of youtube videos. Source: over 2 years ago
Dialogflow CX is the most advanced dialog model with a combination of intents, events and a state machine for every flow. However the interface is somewhat limited and a lot of features are expected to be done in your fulfilment backend with code that are available in the gui in watson or chatbot.com if you run your own backend server anyways and want to invest a bit in building the best solution possible, this... Source: almost 3 years ago
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