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Key Features of a KMS Heres what makes a KMS the game-changer in todays contactcenters: Speed of Delivery: Unlike traditional document holders, a KMS is designed to deliver answers within seconds. Closing Thoughts This isnt your mothers contactcenter anymore. Some systems even leverage Generative AI.
This shift is driven by advancements in AI, automation, and data analytics, which are reshaping how businesses engage with their customers (McKinsey). Why the Shift from ContactCenters to Customer Experience Centers?
Customer service leaders are left to fix the gaps, advocating for more self-service content to reduce contactcenter volume. Set KPIs that matter across departments -KPIs like deflection rates, self-service success, and first-contact resolution. But without support from marketing and IT, their efforts fall short. Who updates it?
Recently CCNG members and area contactcenter professionals were invited to the Alcon North America Customer Service Operations Center in Fort Worth Texas for a group discussion into Alcon's journey of digital transformation over the years. For more information on CCNG member hosted events, please visit CCNG.com/Events.
In today's fast-paced business landscape, contactcenters play a pivotal role in shaping customer experiences and influencing brand perception. In this #JMPsBlog , we will explore the incredible potential of data analytics in contactcenters, along with considerations and watchouts that organizations must keep in mind.
Speech analytics emerges as an effective solution to automate this analysis process. This article will explore the basics of speech analytics, including its definition, functionality, types, and primary use cases within call centers. What is Speech Analytics? How does Speech Analytics work?
The technological advancements of recent years have paved the way for transformative trends that are reshaping how contactcenters operate, deliver services, and engage with customers. In this article, we will explore five important technical changes happening in contactcenters.
If you received a penny for every time you heard “automation” or “AI” in the contactcenter, you could pay off the national debt in about a month. However, understanding the differences between these technologies is crucial for any organization striving to optimize operations in its contactcenter.
CCNG is working through our network of colleagues and resources to help share information, insights, and ideas on maintaining strong customer care, employee support, and business continuity during this challenging period. We will continue to update this contact-center-centric resource as new information becomes available.
This is where CX analytics plays a vital role. By analyzing and interpreting customer data, CX analytics delivers factual insights that allow companies to personalize their support services – they become better equipped to address customer needs and pain points.
While almost all industries are going digital, there’s one industry that is leading the charge in the digital revolution, i.e., ContactCenters. By rapidly embracing digital tools like AI, Analytics, and Automation, contactcenters are completely changing how they function and deliver customer experience.
ContactCenter Leaders are continually being pushed to improve processes, decrease cost, increase customer satisfaction, and improve sales or metrics. Understanding the best path to follow, with the fluidity of the contactcenter industry, can be a daunting task. Performance improvement processes are a continual battle.
We all know that contactcenters require a thoughtful balance of People, Process and Technology. The technology in a contactcenter, ideally, should support and enhance the other two components (People and Process). When it comes to technology, vendors are always pushing the next big thing.
The fourth step ( Step 1 , Step 2 , Step 3 ) in the contactcenter agent journey is about leadership that engages agents. Employee engagement has always been a problem in contactcenters. A several Expert Sessions are dedicated to the topic of on-boarding contactcenter agents. Playbook and Planner.
Honesty forms the bedrock from which all legitimate success derives, and customer contact organizations challenged with attracting and retaining personnel should obsessively seek and share truth to create a culture of trust that can elevate employee and customer experience along with business performance.?
The last few years have seen an explosion CCaaS “ContactCenter as a Service” in the customer experience technology stack. CCaaS is a cloud-based customer service solution that allows companies to leverage a contactcenter without the need to maintain physical infrastructure or extensive on-premises equipment.
One of the major initiatives abuzz in the ContactCenter industry is agent empowerment and how it will improve performance and CX. That is because empowerment is made up of two equally important components, and right now, almost every ContactCenter in the world has only one. The concept is simple.
If your platform produces amazing forecasts but no aligned schedules, then you likely have a data analytics platform and not a WFM platform. You want your scheduled number of agents to increase as your volume increases, and you want schedules to decrease as volume decreases.
Three – Early Adoption of Data-Driven Decision-Making: Long before the term “data-driven” became popular, WFM teams have relied on data and analytics to optimize call center operations. And that’s a strategic advantage! Let’s work together to elevate the role of WFM and drive positive change within our organizations.
While we dive into what new trends and technology we will see, it is great to understand what won’t change in the contactcenter: a never-ending quest to elevate the customer experience while driving efficiency. That is what every contactcenter decision is based upon.
AI-Based Customer Service Training In the contactcenter space, turnover is high, and job satisfaction is low , which can negatively impact customer interactions. AI technologies such as Agent Assistance and AI-augmented Quality Analytics allow agents to get the help they need in real-time without having to call for help.
As new technology emerges for contactcenters, business process outsourcing (BPO) is rapidly shifting. Numerous BPO trends have emerged that offer a way to reduce expenses and improve CX. 59% of organizations cite cost savings as the number one reason they outsource. Working with a BPO provider can bring cost savings in many ways.
NICE inContact, 2018) Contactcenter performance drives both loyalty and churn. 90% of consumers said they are likely to stay loyal after a positive call center experience; 73.7% said they are likely to switch after a negative call center experience. Deloitte, 2021) 80.1%
Do you sometimes feel like you are playing buzzword bingo when reading anything about AI in the contactcenter? A lot of customers who have spent a lifetime in the contactcenter and survived a world of acronyms like AHT, CSAT, and PICINC are feeling alienated in their own world. You are not alone.
In the dynamic landscape of CX providers and contactcenters, communication and customer service plays a pivotal role in ensuring customer satisfaction. Ultimately, this led to contactcenter agents increasingly handling complaints, rather than spending time resolving issues.
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