Customer Support  Chatbot Uses

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Chatbot's advantages in customer service

Availability 24×7

Our studies show that over 85 percent of customers expect businesses to respond in under 10 minutes. The chatbots developed and deployed will be online and available for customers to interact with round the clock.

Instant resolutions

Chatbots can provide customers with instant resolutions by leveraging the existing knowledge base (FAQ) and perfectly crafted workflows. The chatbot will use the context understanding mechanism to get the customer’s exact requirements, ask follow-up questions, and resolve the tickets.

Personalization

The customers are expecting curated content and responses from the businesses. Give your chatbot a personality in alignment with brand guidelines and see the engagement rate explode.

Self-learn

A simple question answering chatbot era is outdated. Customers expect chatbots to perform like humans. Chatbots, using semi-supervised learning mechanisms, learn from their earlier performances.

Savings in time and money

Developing a tightly knit chatbot will reduce customer wait times, increase CSAT values, and reduce customer support costs. The chatbots can cater to multiple customers, in fact, thousands of customers at a time, reducing the customer support team’s overhead.

Why should you use CREYOFACE?

Advanced Knowledge Base

Having an excellent knowledge base alone will not increase customer satisfaction. The key is that the chatbot should understand and fetch the aptest answer to any customer query. Creyoface lets you keep an unlimited number of FAQs. Unlike previous generation chatbots, creyoface can reply using text, video, audio, document, or a URL to a specific question. Creyoface will let you import FAQs from your legacy systems or renowned FAQ management platforms. Our data aggregation technology is superior to existing ones in the market, and you can even import FAQs to the knowledge base from URLs.

Context Understanding + API integration

Understanding the customer intent is the primary and most crucial part of any automation system. Creyoface has developed a unique context understanding mechanism that is robust and user-friendly so that any business manager/analyst can train and deploy AI inference engines. You can use the Postman-like interface of Creyoface to integrate with your systems. A combination of context understanding and API integrations will do wonders for your customers. Ensure you use the 100+ ready-made contexts for multiple industry verticals.

Department-wise Escalations

It is vital for a customer that the chatbot escalate them to the correct department. Failure to do will drastically affect CSAT values and loss in revenue. Thanks to the well-thought design of the Creyoface support system, you do not need to worry about these. The creyoface will automatically assign agents based on the customer query context. You can also define static rules and automation scripts for better segmentation of customers and navigate them to the most appropriate department.

Spectate Chatbot-User Interaction

Have you ever wondered how to view the chatbot-customer interactions live once deployed? Creyoface enables you to do the same using spectate feature. Just like in modern games, you can silently watch the customer-chatbot conversation. At any point, if you want to intervene and take control of the situation, you can take over the chat with a simple button click.

Unified Inbox

According to a survey, customer service employees receive up to 80 percent of the daily questions that are repetitive and low-level. Quick replies are pre-programmed responses that you can use to shorten the response time for recurrent and standard requests. These immediate responses help agents achieve their objectives, provide thorough product knowledge, and save time for clients and themselves. Using creyoface, you can set canned messages for each department, ensuring a better agent experience of the portal.

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Frequently Asked Questions?

A Customer support chatbot is an AI-powered software that can communicate with customers via chat and provide them with support and assistance.

Customer support chatbots can be trained to learn from customer interactions through machine learning algorithms. This enables them to improve their responses and become more accurate over time.

To ensure that your chatbot provides accurate information, you must regularly monitor its performance and update its training data. You can also integrate your chatbot with knowledge bases and other resources to ensure that it has access to up-to-date information.

Customer support chatbots can be trained to answer various questions, including basic inquiries about product or service features, billing and account information, troubleshooting, and more.

Yes, a chatbot can provide personalized customer support by using customer data, such as their purchase history, to tailor responses and solutions to their specific needs.

Elevate your customer experience with our no-code chatbot builder. Streamline conversations, increase engagement, and scale your business without any technical knowledge required.

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