AI Chatbot News

6 Best Customer Service Software Solutions for 2024 Vendor-supplied IT support helps manage updates and bug patches and keeps your system running, so you don’t have to create an in-house dev team. This can lead to a low total cost of ownership and a faster ROI in the short and long term. Customers go out of their way to buy from brands they love—and stronger loyalty usually means more sales. The ability to customize enables businesses to create a 360-degree view of the customer by integrating CX data across systems and tools. It also includes agent collision detection features that ensure agents don’t waste time working on the same tickets or erase each other’s work. Customer service solutions for small businesses help scaling teams organize, prioritize, and consolidate support inquiri...

10 Best Online Shopping Bots to Improve E-commerce Business You can create a standalone survey, or you can collect feedback in small doses during customer interactions. Bots can offer customers every bit of information they need to make an informed purchase decision. Their response time to customer queries barely takes a few seconds, irrespective of customer volume, which significantly trumps traditional operators. Moreover, in today's SEO-graceful digital world, mobile compatibility isn't just a user-pleasing factor but also a search engine-pleasing factor. In the initial interaction with the Chatbot user, the bot would first have to introduce itself, and so a Chatbot builder offers the flexibility to name the Chatbot. Ideally, the name should sound personable, easy to pronounce, and ...

Machine Learning, NLP: Text Classification using scikit-learn, python and NLTK by Javed Shaikh It is beneficial for many organizations because it helps in storing, searching, and retrieving content from a substantial unstructured data set. • Deep learning (DL) algorithms use sophisticated neural networks, which mimic the human brain, to extract meaningful information from unstructured data, including text, audio and images. It's a follow-up to NLTK that includes pre-trained statistical models and word vectors. Word embeddings are used in NLP to represent words in a high-dimensional vector space. The raw text data often referred to as text corpus has a lot of noise. There are punctuation, suffices and stop words that do not give us any information. Text Processing involves preparing the...