Get access to all the tools and information necessary for the customer's life cycle at Odigo by heading to our client portal
In the context of omnichannel CX, where consumers expect a seamless contact experience, companies turn to consumer-centric approaches to put clients back at the heart of customer service. To adopt such approaches, it is necessary to improve customer knowledge to automate the resolution of simple queries and offer personalised paths.
New technologies have changed customer behaviour significantly. We, as customers, have come to expect fast and personalised answers, we want 24-hour service availability and services that allow us to solve our problems ourselves. We are looking for a seamless but memorable experience between all points of contact. We have entered the era of the customer.
To meet these new requirements, companies are working to implement a customer-centric approach by changing their culture, organisation, tools and procedures to put the customer at the heart of their concerns, starting with their customer service.
Being customer-centric means making decisions while systematically assessing their impact on the customer experience (CX). The customer experience can be defined as the set of emotions and feelings felt by a customer during various interactions with a brand.
The implementation of a customer-centric approach shows first and foremost that a brand knows its customers, through opinions, expectations and feelings (positive or negative) throughout the customer journey. This is the foundation of any effective customer-centric approach.
Thus, to develop 360° customer vision, it is first necessary to collect and aggregate all the data from the various conversations with your customers: e-mail, chat, telephone conversation, social networks, etc. The objective is then to identify the customer’s points of friction and sources of delight, and then adapt the customer paths accordingly.
Your customers’ conversations are a valuable source of data. Semantic analysis solutions on the market process large volumes of unstructured data from written or voice conversations with your customers. These tools allow you to decipher the content of the exchanges, or even to analyse the emotions felt by the customer. This will enable you to identify key indicators that will then allow you to improve your customer experience.
Personalisation, a key axis of a customer-centric approach, can be achieved through: the adaptation of routes according to profiles; the relevance of the discourse regardless of the contact channel; offers designed specifically for the customer; or exclusive promotions to create an engaging relationship with your customer.
Artificial intelligence (AI) offers powerful tools to assist in customisation, making it possible to qualify customer requests in natural language, to optimise customer paths, to select the most appropriate advisor to meet customer demand (intelligent routing). It also makes it possible to assist the advisor, transforming him or her into an augmented agent capable of answering customers queries more effectively, to deliver a message adapted to the client’s profile, previous interactions or mood.
With the development of digital technology and the multiplication of contact points, agents are dealing with more and more complex requests. Conversational agents (chatbots, voicebots, callbots) allow advisors to be freed of simple and low value-added tasks and the client can receive an immediate response 24 hours a day.
Although bots offer a great many potential benefits, the right approach is needed. To ensure a quality customer experience, they must:
In the near future contact centre supervisors will manage both human agents and conversational agents. They will therefore need to have appropriate tools at their disposal to supervise, but also to optimise the work of agents and bots.
Finally, a customer-centric approach can only work with buy-in from all employees. Its adoption then implies a double challenge: improving the customer experience, but also the employee experience. This requires, not only instilling a client-centred culture, but also providing agents with the appropriate training, autonomy and tools to satisfy the client.
It is essential to first carry out an inventory of the current state of customer relations. To do this, it is necessary to take into consideration the available customer data, the CRM tool, contact centre management tools, customer journey and associated procedures, not to mention key metrics.
To properly define your customer-centric strategy, it is necessary to have tools adapted to your specific business needs. In this area, Odigo experts can help you acquire tools to analyse conversations (speech analytics), to automate or even to qualify customer requests in natural language. Would you like to manage the customer experience operationally with a 360° view of your customers?
Modern banking relies on in-branch standards of care and expert advice from a distance. Find out how Odigo’s Workspace app for MS Teams involves experts from outside the contact centre in the drive for customer satisfaction.
Natural language processing (NLP) is an applicable everyday contact centre technology. Discover how to harness it with these six practical NLP use cases.
When details matter, Odigo’s Microsoft Teams connector can help maintain case continuity and accuracy.