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Business Management Review | Friday, April 14, 2023
As technology continues to advance and AI becomes more sophisticated, there will likely be even more innovative ways in which AI can be used to improve customer service experiences.
FREMONT, CA: Artificial intelligence (AI) is constantly evolving and making its way into various industries. One of the sectors where AI has been utilised for several years is customer service, including areas such as retail, finance, manufacturing, and law. It is expected that in the near future, AI agents will become so advanced that it will be difficult to distinguish them from human agents.
As companies aim to optimise their operations, AI-powered solutions such as Comm Box are increasingly becoming the norm for managing contact centres. These solutions enable humans to receive support from technology in a cost-efficient manner, while simultaneously improving the customer experience.
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The initial use of AI in customer service has demonstrated its potential to lower expenses, enhance staff retention and loyalty, boost revenue, and enhance customer satisfaction. With all of these significant advantages, the widespread implementation of this technology across the industry appears to be highly likely.
Augmenting Human Customer Service
AI technologies can handle most customer interactions without the need for agent involvement, enabling businesses to concentrate their efforts on real experts. AI will work in conjunction with humans, eliminating tedious and mundane tasks and enabling them to concentrate on customers who genuinely require assistance.
24/7 Availability
Messaging has become the preferred communication method for customers, surpassing social networking and other forms of communication in the current era. One of the most significant advantages of AI is that it can operate 24/7 without the need for rest. This is especially important for companies that operate globally and aim to provide improved customer support.
Faster Decisions
AI platforms have an infinite memory capacity and can quickly find solutions without the requirement for research or manual response. Through pre-set and machine-learned decisions, customer satisfaction is improved as interaction times are shortened.
AI for the Call Centre
As a customer, one acknowledges the significance of data protection. However, it can be frustrating when customer service representatives lack knowledge about them. Personalisation across all channels is now considered a customer expectation rather than a mere desirable feature.
With all this information readily available, customer service representatives are always equipped with the necessary details before taking a call, ensuring that they are never caught off guard.
Digital IVR
Individuals would have faced situations where urgently need to contact a call centre but are put on hold in a queue. Call centres are now implementing a digital platform in addition to their traditional IVR system, which aims to prompt customers to opt for self-service instead of relying on agent support. Customers will receive visual cues on their mobile devices and can choose between self-service options or transferring to live digital agents. This approach has been demonstrated to enhance customer satisfaction and loyalty while reducing the frequency of mid-call disconnections.
Voice Analytics
Call centres are utilising real-time conversation analytics platforms to enhance customer service. AI technology listens to conversations, analysing both the content and tone to gain insight into customers' potential emotional states. Service representatives receive guidance on how to handle customers based on this analysis.
Call centres often have many inefficient and manual processes that can be time-consuming and costly. CommBox and other platforms offer solutions to address common efficiency barriers related to identification, knowledge, and document sharing, thereby streamlining or eliminating these problems.
Virtual Identification
In certain scenarios, such as loan provisions, call centres may require customers to verify their identity by physically presenting themselves. With the help of a smartphone, customers can send a visual of themselves directly to a customer service representative for immediate identity validation. This technology enables real-time verification, eliminating the need for time-consuming and in-person validation procedures.
Knowledge Base
In some cases, when a customer poses a question to a call centre agent, the agent may need to review various process documents and manuals to determine how to resolve the issue. Like AI-powered tools that enable customer self-service, agents can benefit from quickly finding answers as well. By utilising bot technology, an agent can easily search for and retrieve relevant answers that match a customer's inquiry, reducing the time and effort required to find the information.
Document Sharing
Customers can use their smartphones to send scanned copies of their documents directly to the contact centre, eliminating the need for physical paperwork. This not only reduces the amount of internal paperwork but also enables immediate digitisation of data, leading to quicker decisions and better auditing of information.
AI for Innovation
The use of AI in call centres can lead to changes in employee behaviour. By automating the handling of simple queries, employees have more time to think creatively and focus on addressing the root cause of customer issues. This means that businesses can shift their attention to improving customer experiences and updating knowledge bases, resulting in more relevant and up-to-date information being available to customers. All in all, time-saving measures through AI can lead to a more productive workforce.
Predicting Customer Needs
AI and machine learning technologies utilise big data platforms to anticipate and address customer needs. For instance, a chatbot may take the initiative to contact customers who seem to be struggling on a particular website page. The chatbot will gain knowledge from each interaction and improve its predictive abilities with time. With machine learning tools, customers can receive assistance even before they realise they require it.
Being on Brand
AI tools that incorporate natural language processing and machine learning are helping in maintaining businesses' brand image through their customer service interactions. For instance, customers can use Facebook Messenger to book flights and receive proactive outreach, which is typically beyond the capacity of a human agent. CommBox provides a similar omnichannel experience, allowing customers to switch between phone, SMS, or email while maintaining brand consistency and tracking.
Resource savings
AI is highly valued by many businesses due to its potential for significant resource saving. Chatbots alone are anticipated to reduce business costs by more than dollar 8 billion per year in operational and labour expenses by 2022. Such savings can be redirected towards technology to further improve customer solutions.
As mentioned earlier, the use of AI in call centres does not imply that it will replace human agents. Instead, it will complement them, which means that businesses can avoid hiring additional staff as they expand, while also retaining existing employees.
Satisfied Customers
This is quite hard to quantify but with constant availability, fast response times and the ability to provide the right answers, AI should enhance the overall customer experience. Some arguments suggest nothing beats traditional customer service but in a fast-paced online world, the consumer is starting to become more accepting of automated solutions as an overall experience.
AI has tremendous potential in transforming customer service, providing businesses with the ability to offer faster, more accurate and personalised support to their customers. By automating repetitive tasks and handling routine inquiries, AI-powered customer service systems can reduce response times, increase customer satisfaction and ultimately drive business growth. However, it is important to note that AI is not a replacement for human interaction and empathy, and it should be used to complement and enhance human-driven customer service rather than replace it entirely.
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