Traditional solutions are often costly, inefficient and fail to control workload.
π» IT Customer Service
Send a new password β after identifying the users, ChatBot can set and send them a new password.
Enable and disable privileges β ChatBot may be able to grant privileges to users or remove those if the appropriate information is available.
Open a help desk ticket β ChatBot collects the necessary information, creates a help desk ticket, and sends it to the appropriate team.
πΌ Human resources
Recruitment β booking interview appointments, providing candidates with information about the position.
General employee information β ChatBot can answer simple questions about the number of holidays, pay slips and a lot more.
Onboarding β ChatBot helps employees onboard by guiding them through the process in a conversational way, answering all their questions, and providing useful information.
π§ Customer service
FAQ automation β ChatBot provides standard answers to common questions.
Process automation β ChatBot can answer questions that require searching background systems. ChatBot looks up the answer in the background system and sends it to the user.
Transfer to a human operator β for complex cases, ChatBot transfers the dialog to a human operator.
πΉ Sales and marketing
Market research β collect data about potential partners.
Shortening the sales cycle β when a customer has a question and wants a quick answer, they can ask ChatBot about prices or product features.
Marketing campaign β instead of landing pages and forms, ChatBot can connect directly with customers through the website, Facebook and other channels.
π¦ Supply chain
Customer service β use Chatbot to book and track shipments and answer questions about deliveries
Customer orders β receiving new orders, changing the status of orders and cancelling orders are all possible using ChatBot.
Multilingual
β ChatBot uses a multilingual NLP engine, managing more than 30 languages
β no translation is required, so ChatBot can more accurately understand the content of what users wrote and it can recognize their intentions
Machine learning
β the use of autonomous machine learning allows ChatBot to evolve based on the business needs
β when creating the knowledge base, personalized items can be applied
β applying a mix of continuous and supervised machine learning ensures the improvement of ChatBot
Creating "synthetic" data
β ChatBot can generate new phrases based on the given phrase patterns, so less data is needed to create an intelligent ChatBot
Text structure and meaning
β ChatBot can understand the meaning of whole questions or phrases and recognize the highlighted words in sentences
β the phrase database already contains default system phrases such as dates or names, but it also allows you to create customized phrases and terminology
Recognizing emotions
β emotion testing and detection is available in ChatBot in all supported languages
β ChatBot recognizes when a user is upset β and can learn how to calm them down β or when the user is confused and offers a simpler choice.
Voice recognition
β ChatBot can translate voice using third-party STT and TTS services and analyze the spoken content using natural language processing (NLP)
β It can provide personalized solutions to interpret and respond to requests received by STT and TTS services.
The personality of ChatBot
β the ChatBot user interface can be customized to maximize the user experience
β the personalized ChatBot interface can be easily integrated to web, mobile, or any other channels
With its expertise and flexible services, Ixenit can cover the entire Chatbot lifecycle, from Chatbot design, through implementation to operation.