after processing the input, the chatbot will determine what the user wants: a product recommendation, resetting their password, or advice on writing a resume.
next, an ai chatbot will generate a response using machine learning models.
5. Context management
as the chatbot interacts with the user, it tracks the conversation to maintain context, ensuring its responses remain relevant.
6. Get data
if a user asks for specific information - such as senegal mobile phone number how much a product costs, opinions from other users, or what a company's hr policy says about vacation days - the ai chatbot will search for the relevant data.
To do this, you can connect to a database, retrieve information from a knowledge base, or make an api call.
7. Send response
after identifying the most appropriate, useful and relevant response, the ai chatbot will send the generated response to the user. This process is repeated until the conversation is resolved.
Must-have features
blue and gray lines in the shape of a cube.
With the rapid increase in available technology, quality assurance will always continue to be lacking.
The world changed for the better when ai technology became more accessible. But the number of useless and poorly implemented chatbots also increased.
Integration capacity
if chatbots exist in a vacuum, their purpose is drastically limited. A key goal of chatbots is their ability to act on existing systems.
For example, a lead generation chatbot should integrate with a company's customer relationship management (crm) system, so it can update records as it finds and qualifies new leads.
Or take an e-commerce chatbot: it needs to integrate with knowledge bases containing information about current stock, return policies, and individual items or models.
Most chatbot platforms will have pre-installed integrations. And flexible platforms will allow chatbot creators to create integrations with any system or platform.
Omnichannel deployment
the most useful ai chatbots can be used across all channels. An organization can deploy its chatbot on its website, but also on whatsapp or facebook messenger.
It's always best to meet users where they are, which is why ai chatbots are especially useful when they can send emails or sms messages.
Advanced analytics
if a chatbot is deployed to help achieve a goal – such as increasing lead generation, making more sales, or handling customer service calls – it needs success metrics.
