And why chatbot?

Chatbot have a lot to offer organizations. They’re user-centric and user-friendly. With an app or a tool, users have to familiarize themselves with the interface and functionalities; with a chatbot, they simply have to start a conversation. The experience is built entirely around customer’s existing behaviors, making on-boarding instantaneous.

Advantages of chatbot

Chatbot also afford amazing opportunities for data analytics. By allowing customers to engage with and train a chatbot, you can get to know them on a level that is more intimate than what apps and surveys offer. By learning customer behavior and preferences, you’re able to then tailor customer service over time.

Saadhvi’s LiveChat Chabot

Saadhvi built a Chabot we call LiveChat that uses deep learning and artificial intelligence. Artificial neural networks acquaint themselves with the world via training models and test data sets, and in turn develop something like human flexibility. And a bot developed with AI is more responsive than one that’s not. LiveChat is trained to identify intent, and key conversational words and pieces to understand the context and act on what the user says, and it can evolve and learn on its own.

Key features

Delivers natural and rich conversational experiences

Built-in natural-language processing feature imparts artificial intelligence to the chatbot, thereby enabling it to process the natural language and carry forward the conversation in a natural way.
Although users will basically talk to a machine and a set of algorithms, it is still critical to provide them with natural conversations so they will feel that support is personal and tailored.

Offers cross-device support

As the ecosystem for messenger platforms and chatbot continues to grow at an astronomical rate, our chatbot is designed to offer cross platform support, where it can be integrated with numerous messenger applications. Thus, making LiveChat a versatile chatbot offering extensive expandability.

Supports offered are:

  • 1. Google Assistant
  • 2. Facebook Messenger
  • 3. Slack Messenger
  • 4. Twitter
  • 5. Twilio
  • 6. Skype

Understands what users are saying about machine learning

Machine learning makes LiveChat intelligent enough to predict the hidden intention expressed in the natural input language. The chatbot can map the user’s query with the database available with its backend server. The mechanism of mapping is called as Intent. Interestingly, it does so, applying several permutations and combinations. This is a remarkable feature as users ask the same thing in multiple ways, so it’s the responsibility of the chatbot to understand and serve them correctly.

Knowledge Base integrations

A knowledge base contains information about the documents that will be used by our chatbot when looking for responses to user requests.

 

Knowledge connectors complement defined intents. Knowledge bases have the ability to parse through documents such as FAQs or articles and generate a response from the knowledge gained from the included documents.

Uniqueness of LiveChat

In our website “https://www.saadhvi.com/“, we have integrated our LiveChat chatbot to provide an intuitive way to interact with our users.

We have built the chatbot to handle queries from multiple users and provide the distinguished responses to guide the users.

Saadhvi has integrated a database services to our chatbot service which helps us to retrieve dynamic information for user’s queries and provide them an accustomed response from the data retrieved from the database.

We have also engaged email services with our chatbot where a user’s information is sent as an email to the HR department, thus providing further extendibility to the chatbot services.

We have developed web crawling services, where it scraps through all the links incorporated within a webpage, building a list and storing it in a database. When a user asks for any specific information, we provide them the response along with appropriate links from the database and thus providing them with extra information.

LiveChat also has cross-platform support, we have integrated our chatbot services to our Facebook official page “https://www.facebook.com/saadhvi.technology.chennai/” thus extending the capabilities of the chatbot through social media.

At Saadhvi, we provide chatbot solutions for the below mentioned services

Customer Support

The goal of these customer support chatbot is to quickly provide answers and address customer complaints, or simply track the status of an order.

IBM estimates that 265 billion customer support tickets and calls are made globally every year, resulting in $1.3 trillion in customer service costs. IBM also referenced a Chatbot Magazine figure purporting that implementing customer service AI solutions, such as chatbot, into service workflows can reduce a business’ spend on customer service by 30 percent.

Finance Assistance

The goal of these customer support chatbot is to quickly provide answers and address customer complaints, or simply track the status of an order.

IBM estimates that 265 billion customer support tickets and calls are made globally every year, resulting in $1.3 trillion in customer service costs. IBM also referenced a Chatbot Magazine figure purporting that implementing customer service AI solutions, such as chatbot, into service workflows can reduce a business’ spend on customer service by 30 percent.

Streamline the shopping process

The goal of these customer support chatbot is to quickly provide answers and address customer complaints, or simply track the status of an order.

IBM estimates that 265 billion customer support tickets and calls are made globally every year, resulting in $1.3 trillion in customer service costs. IBM also referenced a Chatbot Magazine figure purporting that implementing customer service AI solutions, such as chatbot, into service workflows can reduce a business’ spend on customer service by 30 percent.

Finding restaurants and food ordering

The goal of these customer support chatbot is to quickly provide answers and address customer complaints, or simply track the status of an order.

IBM estimates that 265 billion customer support tickets and calls are made globally every year, resulting in $1.3 trillion in customer service costs. IBM also referenced a Chatbot Magazine figure purporting that implementing customer service AI solutions, such as chatbot, into service workflows can reduce a business’ spend on customer service by 30 percent.

Ticket Booking

The goal of these customer support chatbot is to quickly provide answers and address customer complaints, or simply track the status of an order.

IBM estimates that 265 billion customer support tickets and calls are made globally every year, resulting in $1.3 trillion in customer service costs. IBM also referenced a Chatbot Magazine figure purporting that implementing customer service AI solutions, such as chatbot, into service workflows can reduce a business’ spend on customer service by 30 percent.

Insurance Industry

The goal of these customer support chatbot is to quickly provide answers and address customer complaints, or simply track the status of an order.

IBM estimates that 265 billion customer support tickets and calls are made globally every year, resulting in $1.3 trillion in customer service costs. IBM also referenced a Chatbot Magazine figure purporting that implementing customer service AI solutions, such as chatbot, into service workflows can reduce a business’ spend on customer service by 30 percent.