Get access to all the tools and information necessary for the customer's life cycle at Odigo by heading to our client portal
Do you want to start a real conversation between the brand and its customers on the voice channel? To do so, it is recommended to automate customer relations in your contact center. Using the right technologies to accelerate your automation trajectory makes your brand more available and efficient, resulting in increased customer and agent satisfaction.
As the number of channels increases, automation solutions are a fantastic technological way for customer relations departments to reinvent themselves and initiate a real conversation between the brand and its customers. In this landscape, the telephone remains the preferred channel for consumers because talking remains the most natural way to express oneself, especially when there is a sense of urgency! In addition, with the advent of personal assistants, the voice became omnipresent. How can automation help brands to be more available and efficient, not only for their customers but also their agents, within a new generation of voice portals?
While the call centers of the past, with their rows of advisors, could be content to be reactive, nowadays, the objective is more to establish a dialogue between the brand and its customers, before, during, or after the interaction. If brands tend to establish the most humane and qualitative customer relationship possible, it is to create an even richer exchange with their customers. The era of urgency is over. Long live the conversational one!
Pushing logic to its extreme leads naturally to a seamless experience where conversation begins on one channel and then resumes on another: the omnichannel customer relationship is the new standard. For example, according to a study commissioned by Verizon, if 63% of respondents do not attach any importance to the channel used to contact companies, 41% would leave a company unable to respond to their request at the first contact.
To ensure this continuity, the moments of interaction must be virtuous. As for human and virtual agents, they must be as available, relevant, and empathetic as possible: the brand’s voice is expressed through them! The combination of artificial intelligence (AI) and the historical channel, the telephone – which remains the preferred communication channel – ensures the transition to the conversational and contributes to the automation revolution (42% of respondents to Verizon’s survey are open to companies that offer new communication methods such as personal voice assistants).
The agent remains the cornerstone of the contact center: indeed, what interaction is more critical for a brand than one human talking to another human? According to this study, 34% of respondents would change companies if they did not have the opportunity to talk to a person. In an era of symmetry of attention – the principle that all the care that the company gives to its customers is reflected in the support it provides to its employees – the advisor, the new ambassador, must be at the heart of customer strategy!
While quantitative objectives remain, they are now more in line with loyalty than retention. To do this, equipping agents with tools that simplify their lives (finer qualification, user identification and/or authentication, feeling analysis, emotion detection, etc.) and help them respond faster and more accurately (360° customer view, conversation history to use the lessons learned from each interaction) will, in turn, simplify the customer’s life.
AI and agents are often opposed. However, collaboration is possible, and even recommended. Everyone wins: the brand, its agents, and customers. With automation, the agent is relieved of tasks that do not necessarily require his intervention (request for certification or invoice, registration or reservation, etc.), and focuses on processing files where his value is indisputable: the criteria remain at the choice of the brand, but customers whose calls are rare, or those whose requests are emotionally charged or identified as at risk (risk of disengagement, high turnover potential) can find answers with the most competent agents.
Optimizing agent time remains one of the main challenges for contact centers. The multiplication of channels having led to a strong growth in the volume of customer interactions and the use of bots for repetitive or routine tasks is becoming more common, especially in self-service. With natural language understanding (NLU) mastery, bots are now able to engage customers in conversations as naturally as possible, through text or voice.
Wherever the interaction begins, the company keeps track of the exchange history and reconciles the information to keep the conversation going. This can be done with a voice assistant, on social networks, or by telephone with a conversational agent who offers clients the autonomy they are looking for or with an agent, which has been augmented by the recommendations made by his bot: the next best actions (NBA).
In the conversational era, the preferred medium for users is voice, because it is the most natural for them. It is also the vehicle for sensitive subjects and emotion. As such, automating customer relations on the telephone channel (which remains the majority channel today), and soon on voicebots or personal assistants, is a key customer satisfaction and productivity issue for large organizations.
Indeed, when the company’s main objective is to initiate a conversation with its consumer, automation is a powerful lever, especially on voice and telephone. This can take place at any stage of the customer journey: reception, identification, qualification, processing, agent support, etc.
Technology remains only a means, not an end in itself. To offer its customers personalized paths by automating lower value requests without questioning the existing system, the company’s multidisciplinary (project) team must define its automation trajectory, rely on a methodology, and implement a change management approach.
Intelligent automation appeals to you, but you have questions like:
To get answers to these questions and then some, download our white paper: “The call center in an era of conversation – How automation is revolutionizing phone-based journeys.”
Reducing contact center wait times is foundational to improving customer experience (CX). Customers are abandoning brands that fail to respect their time, and switching to companies that find ways to continuously reduce contact center wait times. Deploying the right solutions positions contact centers to gain new customers and build lasting loyalty.
The new model of customer experience (CX) in banking favors digital channels over traditional in-person interactions. So are bank advisors a thing of the past? Quite the opposite. Thanks to new customer experience management tools, advisors in banking services are providing more support than ever, and embodying the trust that customers expect.
As a consequence of digital transformation, more and more contact center managers are turning to artificial intelligence (AI) and more specifically to one of its subfields: natural language processing (NLP). Read on to learn 3 ways NLP helps in increasing productivity and delivering memorable customer experience (CX).