Create the best experience for your customers across multiple channels -web, phone, messaging, text, and more.
Most chatbots try to imitate human-like conversations, however, most of those rule-based and FAQ chatbots do not have needed AI and NLP technology built-in to understand users. They mostly gather keywords and try to provide answers based on them, which often can frustrate customers when a misunderstanding arises. A conversational chatbot is more. It knows when to search for an answer from a knowledge base, when to ask for some clarifications and when to direct customers to a customer service agent.
We deliver AI solutions for the CTO offices of Fortune 500.
Our business analyst together with AI solution architect explore the business value and technological feasibility of applying Conversational AI in your case, define the technological landscape.
Our team together with UI/UX analysts set a vision by defining the future channel strategy across all touchpoints to optimize the customer experience.
We build the right development team together with all stakeholders (customers, operations, IT, design) so that a Minimal Viable Product solution is tailored to your business and your customer needs.
We apply natural language processing capabilities to your business use cases, including text mining and sentiment analysis of content. We help you augment the productivity of your employees by automating their customer service tasks so that they can spend more time on higher-value work.
We build conversational chatbots that your customers can communicate with through messaging which is now a preferred way to contact brands. Our design team is widely versed in conversation interfaces.
We apply AI to every aspect of your chatbot. With NLP and machine learning we develop models that allow your chatbot to surface concepts, categories, sentiment, and apply human knowledge of best customer service agents. Such technology ensures the conversational chatbot understands the meaning behind the request.
As an enterprise, we understand you have digital channels and systems critical for your business. The way we design and develop chatbots allows for them to seamlessly connected to messaging channels, market-leading customer service desks, CRM systems like Salesforce or any other application across your organization.
Our AI developers have delivered a conversational AI chatbot that interacts with customers. The solution returns answers quickly by applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context, and meaning behind inquiries.
The customer service chatbot is able to display the user profile and updated balance within a chat interface.
The conversational AI chatbot allows customers to enter questions in natural language, as they would with customer support employees. Trained on the subtleties of language, such as idioms and syntax, and powered by natural language processing (NLP) and deep learning techniques, the solution is able to not only answer user’s requests, but also ask certain questions in order to mimic real conversation and reach some additional business goals.
Recognizing that providing real-time customer service and support to customer financial queries would require allocating a lot of the additional employees the company sought to use cognitive technology to enhance its customer experience.
With more than 1 mln users every day seeking for expert’s help on the platform, JustAnswer is always looking for ways to improve and augment their services.
Having a chatbot as the first touchpoint on the platform helped our partner provide better, more personalized service to their customers.
The virtual assistive technology has been in beta testing for three years being trained on 16 million questions and answers in the company’s database.
Having an AI-driven assistant on their platform allowed our partner to:
AAI, ChatScript, flask, gunicorn, machine learning algorithms, nginx, Python, scikit-learn
It is vital to choose appropriate technologies and programming languages for project implementation as it influences project development duration, its cost and lifespan.