Provide customers and employees instant answers through 24/7 automated support
Resolve common requests so your employees can spend more time on complex inquiries
Lower costs of handling tickets while through routine task automation
Visual tool supporting written text and voice commands. Fits in with the natural acceptance of messaging apps 4.1B Messaging App users Over 65% consumers prefer messaging to contact a business Over 50% would make a purchase over messaging and expect a business to respond 24x7
Substitute for the menu driven IVRs. Virtual assistant on call (Inbound / Outbound) across business functions Voice is the prominent medium for all customer communication, specially in emerging markets Outbound calling industry has a non-response rate of over 80% Current IVRs plagued by non-personalisation, low productivity and no context carryover
Instant resolution to emails sent to a business via a bot Emails have an AHT between 4-48 hours Emails still have a preference over calls as customers prefer non-voice
Chatbot for Dealer Interaction
Customer has 200+ dealers and retailers across India. These distributors normally contact clients distributor care number for enquiring about account balance, shipment status, payment dates etc. Number of calls per week range anywhere between 200 to 300 depending on day of the month. In order to reduce calls and to increase information availability to distributor Chatbot is implemented interfacing with clients SAP system for information. Technology stack includes google NLP and cognitive engine
Chatbot for Healthcare Sector
NLP :LUIS (Language Understanding Intelligent System) by Microsoft: Absorbs user inputs and identifies intents and entities to be used by chatbot.
Backend: A framework that processes responses and guides interactions with the user, as well as acts as the middleman between the NLP and Database. Created in C#.
Database : Azure hosted SQL Server with the UMLS Metathesaurus – queries database using identified intents and entities.