We are now more linked to the rest of the world than ever thanks to smartphone technology. We can communicate with someone on the other side of the globe as though we were in the same room. We can frequently conduct product research, explore websites, and converse in ways that are both visually dynamic and context-rich all at once.
Why then does the standard customer support experience remain so archaic?
Customer assistance is typically excluded from the native brand experience, even though digital transformation has been at the heart of every organization's CX.
Most businesses begin by promising to satisfy their customers' mobile, visual, and contextual needs, but they don't include their customer support in that commitment. How can you fix it? Below are 10 ways you can leverage AI to ensure gold standard customer service via your contact center.
1. AI-enhanced response time reduction for better CX
By leveraging AI agent-facing solutions you can dramatically cut down on ticket response times. Customer confidence in your ability to support them when something goes wrong is increased through quicker responses.
2. Automate routine work
By optimizing repetitious operations like account verification, FAQ responses, and information gathering, it is possible to reduce response times by eliminating the need to wait for an agent altogether. Frequently, customers can achieve their immediate goals without ever opening a ticket.
3. Intelligent chatbots
The demand of the hour is for intelligently powered chatbots that enhance customer experience by providing conversational support to either resolve the issue or hand off a fully triaged ticket to the best human to answer it. The information-gathering capabilities of Virtual Agent go well beyond the robotic, pre-programmed messages that the majority of chatbot users are accustomed to, enhancing the experience of asking a question and receiving assistance fast.
4. Leveraging AI to route tickets
No matter what channel a ticket is opened in, AI may assist in automatically directing and routing tickets. Tickets will be routed to the most qualified agent more quickly if ticket context and known customer metadata are combined. The sort of issue, the size or sentiment of the customer's account, the product(s) or features they use, and language or time zone concerns can all be taken into account when making decisions. Routing tickets lessens turbulence and the demand that users repeat their problems. Additionally, it helps personalize the conversation.
5. Increasing information exchange
AI service solutions can present relevant information to the appropriate person at the appropriate moment. Better self-service for your clients and more direct coaching for your personnel are the two advantages this delivers.
6. Smart knowledge management and self-serve functionality
Making sure your customers get the resources they require when they need them is one method to build relationships with them. The vast majority of customers are in favor of self-service choices. In fact, over 75 percent of people have a more favorable opinion of businesses that provide them. Your clients can find the answers they require at any time, by accessing self-service articles and FAQs. As more consumers use your knowledge base to do searches, your AI solution can learn the phrases and keywords associated with each article and more frequently propose the appropriate information, hence lowering user annoyance.
7. Provides advice to agents
AI analyzes the problem using plain language and provides real-time responses or step-by-step instructions based on the context of the ticket. AI promotes client confidence and maintains customer satisfaction by enabling quick, accurate responses by leveraging natural language processing.
8. Improving ticket quality
Enhancing customer experience by offering a uniform experience across all tickets is how AI improves ticket quality. Every time a customer contacts you, they will know what to anticipate, which will lessen irritation and boost team morale.
9. Analyzing customer sentiment
Customer sentiment is an component of tickets that is frequently disregarded. AI systems are able to read conversations and determine whether a problem that seems to be low priority is actually becoming more pressing than anticipated. An agent's tone or focus can be changed with the aid of sentiment analysis, creating a more individualized experience. Additionally, it can assist QA in determining if the customer was pleased with or annoyed by the responses they received.
Learning how to serve your customers better in certain situations and figuring out if they are prone to become angry in particular talks are both parts of improving ticket quality and allowing you to change processes or products to better your customers' experiences. Your AI solution will triage and connect the client right away if a certain topic is likely to require human intervention for a successful resolution—resulting in a successful conclusion.
10. Transcribing calls
Both your agents and the QA team gain from call transcription using AI. Better customer service results in a benefit in either scenario. Your agents can remember important details thanks to the transcribed conversation, which also lessens summary and after-call work and prevents you from having to ask a customer to repeat information later. Additionally, it enables the QA team to examine the issue more quickly and provide coaching and feedback to the agent or group that requires it. Additionally, transcription enables AI to highlight customer feedback trends, which enables you to forge closer relationships with your clients.