It’s the era of conversational commerce. Consumers are responding to the promise of intuitive, natural interactions with bots and virtual assistants — but are you prepared to deliver on that promise?
Looking to capitalize on the hype, companies are rushing to market with chatbots that aren’t ready to meet the demands of their users. Millennials expect science-fiction levels of intelligence and flexibility; what they’re getting are stilted call-and-response templates that have trouble making sense of conversational language.
Your customers don’t want to tailor their text to fit your bot’s limited capabilities. To stand out in an increasingly crowded field, modern chatbots need to synthesize language like a human — that means understanding slang and idioms, correctly interpreting ambiguous phrases, and connecting related concepts to deliver helpful responses.
eContext delivers that intelligence. We’ve spent ten years researching how language is used and have distilled our findings into 23 million vocabulary rules. These rules classify text into a massive hierarchy of concepts, so your bot can understand that “Sneakers” is another word for “Athletic Shoes”, and that “Athletic Shoes” is a subset of “Footwear”. So how does text classification help you build a better bot?
If your bot delivers products, articles, or other content, eContext can enrich your entire library with the same classifications used to interpret user text. That means the bot can quickly find results that match the user’s request, filter out irrelevance, and provide a more intuitive experience.
Using your bot as a customer service tool? By classifying users’ queries to our topic hierarchy, eContext neatly packages support tickets and dispatches them to the right department. Automating the first stage of the customer service process will help your customers save time and help your business more efficiently allocate their resources. As part of your stack, you can use eContext to map any data in real time to our deep taxonomy for better results. Our classification system needs no training, so you can see results immediately, and build advanced capabilities into your chatbot or virtual assistant software to provide the context and queues that your system needs to deliver better results, faster.
“We are incredibly impressed with what eContext have achieved and can see multiple potential applications of this at different levels of our business.”
“eContext enables us to offer brands and agencies insights about our panel members, including highly accurate and granular analysis of the topics, products, and categories they browse, read, and engage with.”
“After extensive tests, eContext was the clear winner. eContext powers VEDO Focus, where our clients are able to classify and enrich a vast amount of data in real time. We are delighted with eContext’s level of depth and accuracy.”
“Wow — eContext is like named-entity recognition on steroids! In my research, I’ve worked with long-form text for years, including news, surveys, and conversational data, but I’ve never seen it structured and annotated so effectively before. Your algorithms are incredible.”