Depending on how they work, a distinction is made between two types of chatbots:
Rule-based chatbots conduct communication according to the predefined rules. This type would be sufficient for simple applications. However, it is important to carefully consider question-answer options and add them to the knowledge database, which the rule-based chatbot will access when searching for suitable answers.
Chatbots based on artificial intelligence can constantly learn. Technically, AI-based chatbots require more effort. But self-learning chatbots offer extended possibilities.
Many examples show that chatbots can be used in a wide variety of ways. Chatbots are integrated into various websites (intranets, online shops), desktop and mobile messenger services (such as Telegram, Slack, Skype) or social network platforms (such as Facebook, Twitter) as well as in the individual software to enable companies to provide supports such as:
Most of the time, customers choose chatbots to get the following benefits:
Although chatbot technology has made tremendous advances in the past few years, challenges must be considered.
Certain platforms such as Amazon Lex, Azure Bot Service, Dialogflow, and Botpress are used for chatbot development. They make it possible to create a chatbot even without programming knowledge. However, the professional team in app development can ensure more complex functionality through integration into existing back-end systems (self-service software, accounting software, etc.).
If you want to build an efficient chatbot with minimal risk and at a reasonable cost, we look forward to introducing you to our established approach to chatbot development. Below, we would like to share some tips for the successful implementation of your chatbot initiative.
When the chatbot development is gradual, it becomes possible to delegate the simplest tasks to your virtual assistant and add more complex functions. This enables you to save time and effort and increase the return on investment (ROI).
Our experience in software development shows that even if you are starting small, it is crucial to specify the appropriate requirements for the chatbot architecture from a technical point of view. This will make it possible to expand your chatbot with additional functions in the future.
Deep learning and NLP help improve chatbot learning skills and understand the intent in communication by identifying recurring records and learning new sentences in the process. The chatbots of this kind are taught to have a dialogue that is very similar to human dialogue.
Advanced chatbots can answer not only general, predefined questions but also provide other relevant information (account, flight, tariff plan, order, payment) about each customer, which a chatbot can extract from other systems. For this purpose, a chatbot should offer flexible integration options into various already existing systems.
You can let your chatbot perform various tasks - book appointments, order food, buy goods, or transfer money. But make sure that a real employee can take over communication at all times. We would particularly recommend this when it comes to the management of payments, confidential information, or the inadequate handling of inquiries by the chatbot. A good mix of virtual and real assistants can go a long way towards increasing customer satisfaction and improving the customer experience. Hyperlink Infosystem can assist you with the development of excellent chatbots.