Renobro is user-friendly service that links customers with workers, evaluating their skillsets and providing them to the customer in an intuitive manner. They also evaluate any previous work experience for potential candidates, presenting this information to the customer.
Building WhatsApp Chatbot for Renobro
Renobro is a firm that attempts to relieve users of this burden by connecting them with workers in an intuitive manner. This also means that answering and resolving a barrage of inquiries from potential consumers is part of their daily routine.
Client satisfaction score
Reduction in everyday workload
Instead of making unnecessary calls, the bot urged them to book an appointment earlier which streamlines the scheduling process both for customers and agents. Customers, in turn, were happy seeing the message pop up with a suitable appointment slot at an hours’ notice without actually having to wait for days or weeks on end for.
The core of the Whatsapp Chatbot constitutes pre-built and narrow Machine Learning models which ensures high coverage and precision to maintain natural and humanised conversations. With advanced natural language processing (NLP) and natural language understanding (NLU) capabilities, the chatbot’s AI and automation system could recognise regional dialect and English. Because of this, the chatbot could personalise conversations and respond to the customers in Chinese Language in addition to the classic Chinese and English.
Chatbots are redefining customer engagement. By providing an omnichannel experience, Renobro could get closer than ever to their customers. Renobro automated customer touchpoints on platforms like SMS, WhatsApp and Email. They achieved a more personalised communication that had the customer returning time and again.
This is just the beginning. The end goal is to ensure Whatsapp Chatbot is available across all customer touchpoints delivering extremely personalised and unique experiences. The client satisfation rate is average 4.12 out of 5 for this chatbot.