Get access to all the tools and information necessary for the customer's life cycle at Odigo by heading to our client portal
Rewarding customer experience (CX) is much more than a series of brand-customer interactions; ¬it is what customers crave and what successful organizations deliver. In a world of rapidly evolving technology, rising customer expectations and tighter budgets, artificial intelligence (AI) can efficiently enhance customer experience in cost-effective ways. Read on to learn three AI strategies contact center managers should prioritize as the means to improving CX.
Artificial intelligence (AI) is a key component of the digital transformation of customer experience that is occurring across all sectors. Though the evolutive nature of AI development means that its capabilities are continuously improving, the verdict on the most talked-about development is in: AI is a tool that all forward-thinking organizations should implement.
The substantial benefits of AI include strengthening sales, boosting operations, engaging customers and generating insights, according to a Capgemini study. That’s why investment in this field is skyrocketing as contact center directors look to enhance customer experience through AI that can work around the clock.
According to the latest research by NewVantage Partners, the percentage of firms investing more than $50 million in AI has increased to 64.8% in 2020 (compared to 39.7% in 2018) with a total of 98.8% of firms investing in AI initiatives. AI is truly the driving force behind the digital transformation of customer experience. The dynamic nature of AI and the broad scope of implementation is as exciting as it is daunting.
Here are the top strategies for enhancing CX through AI:
Contact center managers are all too aware that customer expectations have changed dramatically, with consumers wanting instantaneous answers and responses to queries, complaints and requests. Tolerance for waiting is low and expectations of swift processes in customer experience have never been higher. This is why increasing numbers of customers turn to self-care options, which may require interactions with AI-powered bots.
AI progress, especially in terms of natural language processing (NLP) and machine learning (ML) mean that customers can express themselves naturally (either through voice or text) and AI bots can understand and reply appropriately. Additionally, bots can assist human agents in CX by giving them key information. The desires for immediacy, availability and autonomy have accelerated the trend towards self-service, with 77% of customers saying chatbots will change their expectations of brands in the next five years, according to Salesforce. Providing rewarding self-service options is crucial for contact center managers hoping to enhance customer experience. A digital transformation of customer experience is truly underway as self-care meets customers’ needs for timely answers and lightens agents’ workloads, allowing them to focus on high-value requests.
Algorithms that identify a customer profile (income, location, new vs. old client, gender, age, interaction history, etc.) have accelerated the digital transformation of customer experience. However, deploying sentiment analysis can raise CX to a higher level entirely. How? By relying on speech to create an emotional connection with customers.
Sentiment analysis can identify and analyze customer emotions, be they expressed over the phone or via chat. Empowered with emotional analysis capabilities, AI-powered tools will offer advice to an agent as to how to respond. This support will be invaluable to agents trained to manage a bot’s socio-emotional signals, both on the generation and detection sides. Agents will then enjoy the increased communication skills bots provide that enhance customer experience.
Despite the digital transformation of customer experience, agents will always play a vital part in customer service. But now, the combination of the human touch with the precision of AI is ushering in the era of augmented agents, which means empowering them with AI-based tools that raise their performances and increase their capabilities. Interactions turn into conversations and agents become the best possible brand ambassadors, able to provide customer experiences that are efficient, helpful, rewarding and personal.
Contact center directors understand that enhancing modern customer experience means tailoring strategies to individual customers’ needs, which is why personalization is the most essential component of any customer journey. Microsoft explains that 72% of consumers expect customer service agents to know who they are, what they have purchased and have insights from previous interactions.
To summarize: AI-based sentiment analysis allows for greater personalization, which is a key component of CX since the levels of customer engagement are higher when brands make efforts to personalize relationships with their clients. Contact center managers who want to enhance customer experience must focus on greater personalization through AI tools.
If personalization is the way to enhance customer experiences, this can only be achieved through leveraging data to maximize insights and present a complete view of a customer. Phone conversations, emails, social messaging and customer history must be factored into any engagement.
This data helps contact center managers uncover new reasons for interactions that might become repetitive in the near future. Knowing about these new types of request ahead of time helps contact center managers to organize their contact center workforce and tools accordingly, thus strengthening the overall customer experience strategy.
Highly proficient CX requires analyzing vast amounts of data in minutes which is something AI-based software can do it in seconds. All effective contact center managers will explain that, for customers who do not want to wait, every second counts. The speedier and more accurate an agent’s engagement, the higher the customer satisfaction and the more likely a positive review will be given. Significantly, the Temkin Group points out that 77% of customers are likely to recommend a brand based on a single positive experience.
Modern customers are savvy enough to recognize the brands that make an effort and those that fall short. Tellingly, customers are willing to pay more for better service and enhanced customer experience, which is confirmed by a Walker study which shows that CX will overtake price and product as the key brand differentiator. To meet these expectations, a digital transformation of CX should be every contact center manager’s goal.
Research indicates that 70% of organizations have a digital transformation strategy or are working on one. Contact center managers know that this is the best way to achieve increased operational efficiency, introduce new revenue streams and meet changing customer expectations. AI’s role in this digital transformation of customer experience is significant.
Interested in learning more tips for enhancing your CX through rewarding, friction-less customer journeys? Turn to Odigo, a contact center as a service (CCaaS) industry leader in helping organizations improve their customer satisfaction scores and achieve more rewarding customer experience and memorable customer journeys through smooth, channel-less communication. Click here to get in touch to set up a meeting or organize a demo with our experts.
It’s been a year now since COVID-19 struck and changed the way people communicate and deliver customer experience (CX). To succeed, businesses have adapted to changing behaviors, and a clearer picture of what has worked, and what hasn’t, is coming into view. So based on lessons learned, how can contact centers optimize their remote work models?
Modern contact centers already use skill-based routing to connect customers to agents with the most relevant skills, enabling them to take advantage of specialized teams capable of effectively handling requests with greater accuracy. Read on to learn how skill-based routing is developing, and how the latest changes benefit customers, agents and contact centers.
2020 was a pivotal year for contact centers. The changes which occurred in the last twelve months will set customer experience trends for years to come. Read on to discover the 10 customer experience stats from 2020 that reveal the new landscape.