Resources for your support team.
Technical support cost is 100x greater than that of self-service. It's time to introduce a scalable and effective self-service strategy. Organizations already possess the information within volumes of content to provide resolutions at self-service. They just don’t...
Companies that deliver a superior customer experience also deliver superior revenues — on average, 4% to 8% higher than their market peers. Fast time to resolution, either through self-service or live support, is an absolute requirement for a great customer...
Majority of support cases created have incomplete information. Imagine the hard work and pain that technical support teams have to go through to piece together case information, perform research and provide resolution to the customer. That’s why Customer Support...
Nearly 2/3rd of companies are investing in AI and automation to better understand customers’ intent. To understand this intent correctly, it is critical for AI and automation to work across the customer support stack; something that Quark does by design. Quark's...
Most organizations view their investments in AI as means to a better customer experience, reduction in costs, and having better analytics. With Quark.ai’s Autonomous Support platform, customers have been able to enjoy all three of these benefits. How are you...
Companies are now using AI more broadly to optimize the Customer Experience as well as the Employee Experience. Using a platform that can bring AI, NLP and Deep Learning across all the Customer Support systems is the way to make this happen. How are you planning to...
The amount of effort that the customer has to make to get technical support has a direct effect on customer retention. Low automation and unconnected systems increase the burden on customers to get help. Investing in AI-driven automation across the customer support...
When support organizations focus on AX (agent experience), on average it drives over 19% productivity with an 11% higher customer satisfaction score and it also reduced customer's effort by 9%. In fact, with cross-stack autonomous platforms, companies are surpassing...
More than 75% of customers expect support agents to have the context and information to effectively solve their problems. Yet nearly half of agents almost never or only occasionally have the context they need to most effectively and efficiently solve their issue. It’s...
Companies get burned trying to follow a project-based path to AI adoption: pick a problem, build a model, see if it works, then put it into production. This ‘AI by project’ approach fails often because it requires that too many new things work well together. An...