Alguien me podría decir empresas que usen un chatbot a poder ser desarrollados con rasa en máquinas industriales.
No he conseguido encontrar pero se que hay 🙁
Muchas gracias!
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Alguien me podría decir empresas que usen un chatbot a poder ser desarrollados con rasa en máquinas industriales.
No he conseguido encontrar pero se que hay 🙁
Muchas gracias!
submitted by /u/Miserable_Clerk_5450
[link] [comments]
WhatsApp is the new buzzword for digital conversations as the post-pandemic world gets more digital-savvy and contactless shopping emerges as the new trend.
According to a Statista report, WhatsApp is the most popular messaging platform with more than 2 billion active users outranking Facebook Messenger at 1.3 billion and WeChat at 1.2 billion users. Not only this, it has become the world’s third-largest social networking platform after Facebook and YouTube.
Given the popularity and demand of this new messaging channel, businesses too have started to turn their ships, the WhatsApp way. Also, recent innovations in artificial intelligence (AI) and machine learning (ML) make WhatsApp more profitable for businesses. AI-powered virtual assistants, also known as WhatsApp Bots have helped businesses engage, support, and serve their customers virtually while igniting a new spark of online sales, known as WhatsApp Commerce. It simply means:
Offering and selling products and services to customers on WhatsApp
Using WhatsApp Bot to assist and personalize customer’s buying journey
Delivering a high-quality customer experience throughout the conversation.
What are the Benefits of using a WhatsApp Bot?
How to figure out the best WhatsApp Bot?
Now that you have already dipped your toes into knowing WhatsApp bots, their capabilities and benefits, let us explore the best WhatsApp bots that can help brands drive their online sales and support, like never before.
In this article, we are covering 6 renowned brands in India that are successfully using WhatsApp bots as a conversational channel for their customers.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
Shoppers Stop, one of the leading online shopping brands in India, offers seamless virtual shopping with Personal Shopper. It is a WhatsApp bot that answers all purchase/support-related queries at Shoppers Stop. If you are looking to shop online, you can directly WhatsApp your Personal Shopper with your requirements and they will help you find the best product with the best deals. It also provides a secure payment link via SMS to make instant and safe payments. Once done, your order will be delivered to you without you having to step out.
Dottie — a conversational AI-powered chatbot has been designed to help customers with commonly asked queries. With Dottie available at your service, you don’t need to call customer care, you can find answers to FAQs on several topics such as revised travel mandates, baggage related queries, refunds, COVID-19 travel queries, flight cancellation, flight status, change booking, about credit shell, it’s usage and much more.
Not only this, but customers can also book a flight, web check-in, and perform an array of tasks related to their booking using this WhatsApp bot. The bot understands short phrases and keywords in a better way, so it is advisable to keep your query short while interacting with Dottie. In an unlikely situation wherein Dottie is unable to understand a customer’s query, it immediately transfers your query to a live agent to assist you better.
For example — To find out what you carry on our flights, try saying ‘conditions of carriage’ or say ‘baggage allowance’ instead of ‘Can I carry 30 kg as check-in baggage on my flight.’
Part of the Tata group, Tata Mutual Fund is the most trusted fund house in India offering a range of investment solutions for financial planning and wealth creation. With an investor base of over 3 million, the brand manages funds across the entire risk-return spectrum targeting investors of all ages and risk profiles. In such scenarios, providing top-class instant support to their customers became a critical factor for business success.As a solution to challenges like delayed response and a broken customer experience, Tata Mutual Fund introduced an AI-powered support bot known as
Mr. Simple. It brought a game-changing experience to TMF’s customer support by resolving 90% of queries end-to-end resulting in a reduction of call center calls by 67%.
Check out this Case Study to learn more about Mr. Simple and its contribution to TMF’s business
During the Covid-19 pandemic, the Government of India wanted a solution that would eradicate misinformation and empower citizens with the right steps to take precautionary measures and stay safe. The idea was to offer a 24/7 help desk that can answer all sorts of COVID-19 queries and help prevent the spread of false information.
Haptik, one of the world’s largest Conversational AI companies, accepted this challenge to handle and resolve the diversity of queries coming from millions of users across the country in English & Hindi. As a result, Haptik built the MyGov Corona Helpdesk, a WhatsApp bot that helped users check symptoms and get a diagnosis, provided tips and precautionary measures to stay safe, and shared the latest updates and advisories from the Ministry of Health.
Check out this Case Study to learn how Haptik helped India fight COVID with a WhatsApp Bot
JioMart is an eCommerce venture launched and run by India’s most valued firm, Reliance Industries. It is an offline to online grocery service that allows you to order online and the product is delivered to you from a local nearby store. JioMart offers a selection of 50,000+ products and processes over 250,000 orders per day.
With increasing orders every day, JioMart started experiencing 3x more traffic than expected. Soon, they realized an immediate need to automate and upgrade their customer support. As a result, JioMart built a WhatsApp bot that later emerged as the primary go-to channel for users to shop with JioMart. Also, JioMart observed that the WhatsApp bot is capable of resolving 88% of the queries with a reduction in response time by 62%. Some of the key use cases of this WhatsApp bot are Check Order Status, Delay in Delivery, Replacement Request, Refund Related Query, etc.
Check out this Case Study to learn how JioMart Handles 40% of Customer Support on WhatsApp
HDFC Bank is the second-largest private bank in India with a customer base of more than 19 million. With an objective to be available for customers 24/7 x 365 and provide uninterrupted customer service to everyone, HDFC too reaches its customers — the WhatsApp way, known as WhatsApp Banking.
HDFC WhatsApp bots help customers get information about their cards, important updates, regulatory messages, payment alerts, and a number of other banking queries like:
5 Reasons why you should use WhatsApp Bot in banking
As WhatsApp commerce takes the center stage in the eCommerce journey of India, WhatsApp bots will play an extremely important role in shaping the future of Conversational Commerce in India.
So far, we were able to conclude the scope and capabilities of a WhatsApp bot. We also saw leading brands leveraging this AI-driven innovation to scale up their online sales and support performance. Now that you are also clear about the best WhatsApp bots in India, it is time to choose the best one for your business.
Surprisingly, the best part of a WhatsApp bot is that you can get it up and running in very little time. Unlike a website or app, which requires a long development phase, it is possible for a brand to deploy a WhatsApp bot, in as little as 7 days!
Interested to explore more about WhatsApp bots or want a WhatsApp chatbot for your business?
Interested to explore more or want to try out a chatbot of your own?
6 Best WhatsApp Chatbots in India was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
Hi, I’m (company)’s virtual assistant, how can I help you?
For some years now, and more and more, chatbots and artificial intelligence are acquiring great importance in those functions that have to do with the interaction between a company and its customers since they are revolutionizing the way we communicate.
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HI, I’M (COMPANY)’S VIRTUAL ASSISTANT, HOW CAN I HELP YOU?
For some years now, and more and more, chatbots and artificial intelligence are acquiring great importance in those functions that have to do with the interaction between a company and its customers since they are revolutionizing the way we communicate.
submitted by /u/ljaviertovar
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I am working on a project where I have to create a chatbot on a whatsapp number using the postman API’s. Since its my first project related to API I am really confuse how to do this.
If anyone provide me a guidance that will be really grateful.
Thank You.
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Job opening (remote in the us)! I have a friend who’s looking to hire an AI dev with Rasa experience. Does anyone know someone who might be interested? Feel free to DM me. I’ll make personal intros.
Their company just took on a solid round of funding and is building a team around some epic conversational AI initiatives.
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Sometimes it feels so awkward to talk to Google assistant because of its weird robotic voice.
If you are a data person by which I mean you use data or facilitate data to others for their use so that others can make “data-informed” decisions on an almost daily basis then you might have come across many scenarios where data is just overhead and sometimes using data even might be an overkill.
So imagine a situation where a person who is not aware of many aspects of data and how it can be utilised how much overwhelming it can be for them, right?
Business, product and engineering all, need to come together to get the right information from data, which means essentially tons of meetings, documentation and finally, the intuition-based decision is taken, which means why to use data in the first place.
Here are the top 6 excuses I have seen why not to use data — and simple solutions to get moving.
Solution: Start with the questions, ask for the directions.
The №1 reason I think people don’t like using data is that it can be too much to handle. The numbers are too vague and don’t make sense and whatever type of analysis we are doing be it comparative, correlation or impact is not usable. To avoid all this confusion always starts with what we are trying to solve, funnelize your data or branch it out as per your solution.
Always remember to take 2 steps back after taking 1 step inside.
Solution: There is no such thing as the correct way, it’s a creative field driven by your competencies.
Depending on the organisation, product, teams, data volume and their use of data in their work as well as the type of problems we are trying to solve data handling can differ. The only solution is to increase our competencies and delve deep into product and data. Don’t get stuck into analysis paralysis.
2. Automated vs Live Chats: What will the Future of Customer Service Look Like?
4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?
Solution: Upgrade data tracking.
Things can get pretty dark, pretty quick while working with data as there was a lot of data to start with but after a bit of observing,slicing and dicing relevant data is very less, required data points are not getting tracked or the sample is too small to draw an inference from. There is no quick fix to this problem and the only solution is to have a collaboration from data, product and engineering teams to upgrade your data tracking.
Solution: Define the problem, create frameworks.
This is actually a problem of the outcome-based mindset of stakeholders rather than having process-based. Instead of changing the mindset, we can divide our analysis as per usages like on a daily basis, weekly or monthly basis and create our automation paths accordingly around that for faster responses.
I personally have created comparative, impact and correlation analysis frameworks which comes in very handy after I have defined the problem and created modules as per my inputs to the framework.
Solution: What you need is an expert.
This is where most of the upper-level management lies, they know everything about their users since they are with them since the first day. But I would like to highlight while starting your product journey intuition is the right way to go, but while scaling intuition does not work and the only logical step is to use data to analyse the users and their behaviour to focus on the right thing moving forward.
5 Reasons not to use Data (and why Most are BS) was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.