A well-designed chatbot is able to generate huge savings and provide a much more efficient service to the customer. Chatbots are on average cheaper than other channels and are able to automate complex tasks making 24/7 services available.
The new generation chatbot can run on most popular social networks by exploiting the huge customer base and use a multimodal interaction based on the combination of type, touch and voice. This hybridization allows the chatbot to respond to users’ micro interactions in the most practical and fast way as possible. The intelligence of the chatbot is mainly in its ability to implement complex processes and make them available in a simple way through conversations.
We have developed a Bot Builder Platform able to create in visual mode on-line conversations through a customer journey allowing to manage not only assistance type processes, but also to integrate services and payment systems.
From a basic unstructured data we create a semantic model of knowledge that can feed the conversation and the same conversation can feed the model, correlating information into a virtuous cycle. Machine learning algorithms are constantly improving the end-customer experience.
Requests coming from the users in text form (type) mode are processed by natural language recognition algorithms (NLP) that can understand the intent of the sentence in order to acquire sensitive data and invoke the correct conversational flow in a precise dialogue point.
Our solution provides gateway client that can run on native Apps, text messaging platform, Web sites and virtual Assistants.
Conversations can be generated quickly through a simple and intuitive graphical web based interface. (What You See Is What You Get).
Possibility to generate dynamic segments of users in order to deliver personalized content and services.
The Behavioral Analytics are tracked to generate advanced reports and for creating dynamic segments.
We have integrated payment methods within the conversations which can handle all purchasing processes on the fly.
Chatbots have the ability to learn and improve conversation quality through algorithms that can anticipate user requirements relative to their context.
The push notification module allows to start a conversation with specific users through subscription mechanisms in full respect of privacy.
NATURAL LANGUAGE PROCESSING
The NLP algorithms understands the intent of phrases in order to start the right conversation and provide an effective semantic search engine.
This feature allows the user of the chatbot to send in a simple way a request to communicate with a human operator.
The Opinion Mining processes automatically analyzes the user experience related to a product comprising the opinions and extracting new triggers from that information.
Through a semantic search engine we facilitate the users’ searches even not knowing the words used in the text to describe it.