The competitive industry of Food and Grocery just got easier using Artificial Intelligence and Machine learning. FoodYo, an advanced chatbot was built to order food online for Delivery.com. The Natural Language Understanding was trained on Chinese cuisine first (most popular cuisine in online food portals as per the founder of Delivery.com) and achieved 86% accuracy against tests sourced from MTurk. …
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A natural sounding advanced chatbot that uses well developed understanding of Natural Language and can understand multiple parameters in a single sentence, no matter how it was said. Follows all 3 type of conversations on can have with a bot as a human. Hotelsify takes those parameters and uses Booking.com API to fetch hotel inventory and aids in hotel booking.
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This is a bot that asks a simple array of questions that lets the bot fire an API request on RightMove to fetch results and display. A little NLP and spelling mistake detection was used for better detection of location names, developing a tolerance for spelling mistakes or slang.
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Is your chatbot designed for those curveballs that some notorious users may throw at it? Humans are… well… humans and you can’t impose an HR policy on the them saying: “Abusing chatbots is a punishable offence. You might hurt its self confidence”. There are usually 3 ways in which you can converse with a chatbot. When you know which type …
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Building a chatbot for your business can be fun. It’s amazing how Chat bots can automate a major part of your business, specially if it has to interact with a lot of customers. Before you get started, it is wise to anticipate the type of conversations your chatbot could be having with your customers to deliver best user experience. Chatbot conversations …
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A robot needs to be told what it needs to do, something it is designed for. If you are building a chatbot with a purpose, it must ask a series of questions to the user to carry forward the conversation. Just like while filling up a webform (which is like an input to the machine), some fields might be compulsory and …
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Detecting nutrition of food items can be challenging when it comes to accuracy. Most of the databases are dependent upon USDA database that lacks in several aspects:
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This is an Email bot that we are designing for a client that lets you automate lead qualification for the sales team. Powered by Natural Language Understanding, the system makes sense of incoming emails (not based on keywords) and asks them followup questions and warms them up to make them ready for an actual human interaction.
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Smarter.Codes is in its 3rd generation now and things are looking exciting now. Here is a pilot run we did where we were provided with some less than 100 documents shared among customer support department of a company (essentially their knowledgebase compiled over years of operation).
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