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Thursday, 19 March 2020

5 Basic Steps To Develop a Facebook Messenger Chatbot for Business



With the rapid development of new technologies such as artificial intelligence, machine learning, and big data, chatbots will be applied in various areas of social life. Here we mainly share the knowledge in business fields and how to build a Facebook Messenger chatbot.

Includes the following 5 steps

1. Select a conversational platform you need to build

No matter what kind of chatbot, it needs to be built on the message / conversation platform. The message / conversation platforms currently used include Facebook Messenger, Slack, Kik, Telegram, Skype, WhatsApp. Because social media has been widely used for many years, especially Facebook, with more than 1 billion users worldwide, many companies choose to build chatbots on Facebook's Messenger. At the same time, use business webpages to interact with visitors and discover potential customers.

2. You need to open a personal Facebook account. Facebook requires a real name to open an account. If you already have a personal Facebook account, you can go directly to step 3.

3. Use your personal account to set up a Facebook Business Page for your company. The benefit of this page is to help your company post some business information.

Here we remind you that you must do this in steps 2 and 3. You cannot skip step 2 and go directly to step 3. Some people, or some agency companies, especially like some marketing companies, do this for their customers, eliminating step 2 and directly opening a company account, causing endless troubles and great losses. , Wasted a lot of time, money, and fans which take a period of time to accumulate, have to start again.

There are two potential dangers here. The first, Facebook will block such accounts, and the second, you lose account’s administration access which lead to you can’t control your account.


4. You need to choose a chatbot platform / builder

To build your chatbot, there are dozens, even hundreds of chatbot development platforms available, please check

Chatbot development platform

We introduced five and we will introduce more in the future.

5. Create a chatbot with chatbot platform / builder

You can choose to do it yourself or hire a professional development team to make it for you. Most of these current development platforms are simple and easy to use. For basic chatbots, almost everyone can do it. But if you need to implement some advanced functions, you need to integrate artificial intelligence. If you are not familiar with software, applications, and various platforms and interfaces, you need to hire a professional development team.


In conclusion

This is the basic steps to build a Facebook Messenger Chatbot.

The point is that first you have to open a personal Facebook account, and then a business page, to ensure that you have the administration access and continuous development of your business account.

Choose a chatbot building platform that suits your company's long-term development strategy. You can start with the most basic chatbot and get some data. After a period of practice, you will know which advanced functions are more suitable for your company. When you decide to upgrade your chatbot in next step, choose only those features that are most useful to you, you would save time and money.


# Facebook #Chatbot #FacebookMessengerchatbot #Facebookchatbot #businesschatbot

Thursday, 12 March 2020

Three Basic Application of Artificial Intelligence in Future Insurance Industry



How artificial intelligence will be applied in the future of insurance is probably a general concern for insurance practitioners. Here I will share it with you.

New technologies such as artificial intelligence, blockchain and machine learning have been applied in the insurance industry. Artificial intelligence and machine learning can be used to automate claims processing and improve customer service. Blockchain can be used to detect fraud and prevent risks. With the widespread application of these technologies, the insurance industry will become more efficient, accurate and secure.


Definition and application examples of artificial intelligence



You may not know about artificial intelligence, but you know a lot about human behavior, so you can understand artificial intelligence as

Computers think, learn, and behave like humans.

Artificial intelligence can interpret data and use learning to perform various tasks. Machine learning is a specific application of artificial intelligence that allows artificial intelligence to efficiently interpret and analyze data.

Now many industries and companies are using artificial intelligence. The fundamental purpose is to improve overall operating efficiency, simplify processes, reduce costs, and solve problems faster.

In the medical industry, many hospitals use artificial intelligence to predict surgical outcomes and detect certain diseases. Banks use artificial intelligence to manage customer assets and improve cybersecurity. Schools can use artificial intelligence to score exams and develop personalized learning programs. Compared with these industries, the adoption rate of artificial intelligence in the insurance industry is slower, but it can be expected that in the next few years, the application of artificial intelligence in the insurance industry will be infinitely broad.


What artificial intelligence can do for the insurance industry


Currently it can include the following three aspects

Pricing:
Using artificial intelligence, insurance companies can provide personalized premiums to each customer, which is calculated based on the traffic conditions of the customer’s city, his/her driving records and financial status.

Claims processing:
Insurance companies spend a lot of manpower, time, and money on claim settlement. With artificial intelligence, many time-consuming and repetitive workflows can be automated.


Fraud prevention:
Using artificial intelligence can help insurers find anomalies in claims data and identify false information.

The future impact of artificial intelligence on the insurance industry

With the popularization of artificial intelligence, insurance companies will reduce customer service staff, and customers will more interact with chatbots. Provide insurance companies with more accurate data so they can use it to develop better business development strategies. Help insurers expand their partner network and provide customers with more options.


The negative impact of artificial intelligence on the insurance industry


These negative effects may include discriminatory pricing, unemployment, privacy security, etc.


In conclusion


Artificial intelligence will reduce the operating costs, improve the accuracy, achieve more personalized services for insurance institutions, and improve customer satisfaction as a whole, while having some negative effects.

The impact involves the insurance industry chain, not just large insurance companies and policyholders, but also many small insurance agencies.

Small insurance agencies can start with the adoption of chatbots and gradually apply artificial intelligence.



#chatbot #cahtbots #AI #artificialintelligence #insurance


Source :
https://www.bankrate.com/insurance/artificial-intelligence-meets-the-insurance-industry/

Tuesday, 10 March 2020

Facebook Chatbots Offer Persona-driven Method to Boost Food Retail



South African retailer Woolworths has created a new research method using a chatbot on Facebook.

Reveal deeper insights into food sales by increasing engagement and data quality. This approach can be called persona-driven replacement of traditional food log research.


The real motivation and driving force for consumers to buy food


Woolworths account executive Charlene Van Zy asked a question, "How do we start to know what the real motivation and drive of consumers is?"


In fact, this method is an update of the traditional food log, which has two key flaws:


People answer far more rationally than they do

Engagement declines because respondents don't like the experience


Innovative persona-driven approach based on Facebook chatbots


To avoid this, Woolworths worked with research company Kantar to design a chatbot on Facebook Messenger, which is based on the high popularity of the Facebook platform.


The study analyzed the collected data with more than 1,000 user interactions, combined with natural language, and responded with pictures.


These data provide key insights into consumption habits based on different messages that appear at different times, of which health is considered important to think of.


The important point is that it provides data support for some of the company's key business areas, mainly in the following aspects


How to choose a language that is good for marketing

How to choose a time for a favorable promotion

How to meet consumer needs

Provide different perspectives on pricing


In Conclusion:


Discover and ask a substantive problem that plagues your business, analyze the cause of the problem, and possible new methods to solve it, like a chatbot. Woolworths creates a chatbot on Facebook to provide a more accurate method for its business development.



#Facebook #Messenger #FacebookMessenger #chatbot #chatbots #retail




Source :

Understanding food habits and motivations using chatbots

The 5 Importance Of Chatbots In New Marketing Strategies

In 2016, Business Insider's report on the use of emerging technologies in business showed that many business decision makers will adopt ...