Chatbots

How Chatbot Development Platforms can enhance Businesses?

Explore how you can improve your business with the help of chatbot development platforms

Soumili

Chatbots play an integral role to identify a customer’s requirements while initiating a brand’s development. A company or brand needs to objectify its strategies clearly to its audience, besides taking any action to improve a client’s satisfaction. This article dives into 10 best chatbot development platforms which can enhance a customer’s experience and cater to different business needs.

Why Chatbot Development is required?

Chatbot development needs to be prioritized to clarify various technical needs in accordance with the company and its clients. It is also required to facilitate NLP (Natural Language Processing) and to implement the correct and smart usage of AI services. Chatbot development platforms address specific needs and challenges in modern day businesses attached with customer’s interacting surroundings.

10 Best Chatbot Development Platforms

1. Dialogflow: Powered by Google, it’s a Natural Language Processing platform which supports multiple languages through chatting in diverse messaging platforms such as Google Assistant, Facebook Messenger, and Slack.

2. Microsoft Bot Framework: Suitable for building enterprises conversations, it allows a user to create, deploy and manage intelligent bots that can interact automatically with users on various channels, including websites, apps, and messaging platforms.

3. IBM Watson Assistant: Known for its advanced AI and machine learning capabilities, it provides solutions to complex applications. Besides, with the integration of IBM, it provides advanced NLP system for conversational difficulties.

4. Amazon Lex: Connected with Alexa, it uses the same ASR (Automatic Speech Recognition) and NLU (Natural Language Understanding). This enables it to build conversational interfaces through voice and text. Besides, it aligns well with AWS services.

5. Rasa: An open-source platform that offers great flexibility and customization, it gives ability to the developers to control their chatbot completely.

6. Chatfuel: This is another popular platform, which is attached with social media, especially Facebook Messenger. It has an easy drag and drop interface.

7. Tars: A basic chatbot platform, it offers an easy drag and drop interface for customer support at lead generation.

8. ManyChat: Another popular platform which focuses on social media marketing, especially for Facebook Messenger, making it ideal for customer engagement.

9. Kore.ai: Known for its enterprise features, this platform is built with flexibility and robust capabilities for complex conversational interfaces across various channels. It includes other features such as omnichannel support, multilingual capabilities, sentiment analysis, its also linked with different APIs (Application Programming Interface).

10. Tidio: Easier to install than any other platform, it offers a free version of itself, and along with visual builder interface it supports networks such as MailChimp and Zapier. It can enhance customer support in businesses with the help of NLP powered chatbots.

Sectors where these chatbot development platforms are used

Dialogflow:

Customer Service: In this segment it provides automated customer support and handles FAQs.

E-Commerce: It assists customers with personalized shopping recommendations, product descriptions including tracking orders.

Healthcare: It provides information relatable with health, assists patients with booking appointments, and checks on patient engagement.

Education: It answers to all the queries of a student, while suggesting them personalized courses and providing them with administrative support.

Microsoft Bot Framework:

Customer Support: It addresses customer’s concerns while providing them solutions in an automotive way.

Retail: It enhances customers’ interaction experience while managing orders and recommending products.

Healthcare: It assists patients with appointment scheduling besides resolving queries and providing information relatable to health.

Finance and Banking: It manages a customer’s bank account information while keeping track of the transactions, and giving them financial advice.

IBM Watson Assistant:

Healthcare: It responds all queries of a patient while helping them with scheduling appointments and providing information about health.

Travel and Hospitality: It assists travellers with booking, suggesting destinations besides responding to their orders or requests.

Insurance: It provides policy information while operating claims and providing customer support.

Retail and E-Commerce: It enhances shopping experiences of customers by providing them valuable, unique, and personalized niches to clients while handling both buying and selling orders.

Rasa:

Customer Service: It helps customers with personalized solutions while predicting unresolved issues that might encounter in the future.

Healthcare: It develops straight conversational interfaces for a smooth communication with patients besides addressing concerns initially and scheduling appointments.

Finance and Banking: It offers personalized financial security solutions while handling transactions and complaints from customers.

Retail: Besides recommending personalized products for shopping it boosts a customers’ buying experience.

Amazon Lex:

Customer Support: It handles queries of customers with automating support.

E-Commerce: It assists customers with product searches, order tracking while suggesting desired products.

Healthcare: It provides health information, manages appointments while resolving medical inquiries with the support of virtual health assistants.

IoT Applications: It configures and names voice controls for smart devices and home automation systems.

Chatfuels:

Social Media Marketing: It focuses on customers’ interactions over social media including Facebook Messenger and Instagram.

Customer Service: It gives quick responses to basic questions and to any client’s queries while providing 24/7 support.

Event Management: Besides supervising registrations of the event it gives relatable reminders including providing information such as venue maps, speaker details, and FAQs.

HR and Recruitment: It responds to the queries of the employers while assisting HRs with recruitments and onboarding information.

Tars:

Lead Generation: It initiates web engagements including the creation of landing pages and improves chatbots for lead generation.

E-Commerce: It assists customers with product searches while tracking orders and addressing their concerns.

Healthcare: Besides scheduling appointments it provides medical information, reminding patients about medications, and offering earlier consultations.

Surveys and Feedback: It compiles customer feedback and conducts surveys in common language.

ManyChat:

Marketing Campaigns: It oversees scheduling and marketing through communications in Facebook and other social media platforms.

Entertainment: It gives entertainment related content updates to fans while making conversations engaging.

Education: It provides information to candidates about courses which desire to pursue, including assisting them with enrolment, their queries, and supporting them academically.

Event Management: Besides handling registrations of the event, it provides event details and sends reminders with the help of AI conversational agents.

Kore.ai:

Customer Service: It oversees queries of the clients besides providing 24/7 assistance with the support of automation.

HR & Recruitment: Besides initiating biometrics of the employees, it resolves queries and helps with the recruiting process.

Banking & Finance: It assists clients with account management while suggesting them secure ways and answering financial questions.

Healthcare: It interacts with patients while managing appointment scheduling, providing health related information and personalized consultations.

Conclusion

In this generation of tech, emergence of chatbots can be considered as a boon. However, day by day AI is transforming itself into its most reliable forms, there still remains a gap among users, involving its proper utilisation. Chatbot development platforms can enhance businesses while enhancing a customer’s experience through communication.

FAQs:

1. How can Chatbot Development Platforms can develop Chatbots?

A: Chatbot Development Platforms enable the creation of Chatbots while getting them improved. They develop chatbots through various ways including designing and planning, interaction, integration, testing, monitoring and deploying. You can choose a chatbot development platform according to your needs.

2. What are the key features of a Chatbot Development Platform?

A:  The key features of a Chatbot Development Platform are – they have visual builders, Natural Language Processing (NLP), integration abilities, analytics and it support diverse communication channels.

3.  How can someone ensure that a chatbot has understood a user’s requirements correctly?

A:  A user can utilise features of Natural Language Processing (NLP) provided by the platform to let the chatbot understand and interpret their queries accurately.

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