Can Enterprises Use Automation to Improve Customer Experience?

Can Enterprises Use Automation to Improve Customer Experience?

At the time of writing this article, more than 5,500 directly related scholarly papers surfaced on Google Scholar's SERP for the specific keyword "improve customer experience." A similar trend is rife in the non-academic domain, where companies like HubSpot are persistently pushing customer journey templates, customer satisfaction checklists, etc.

Accenture calls this inclination "experience renaissance" while also asserting that elevated customer experience (CX) is no longer a differentiator but a fundamental requirement. So, while the world is talking about understanding the importance and subsequently improving CX, one needs to narrow down to grasp what "actually" qualifies as a differentiator.

Is it the speed of service? Is it the high-ranking customer satisfaction score (CSAT)? Is it the frequent "warm and fuzzy" feedback? Is it the streamlined customer journey?

Owing to the market's dynamism, it's the combination of all these, and even more. And one technological facet that helps facilitate the same is automation, for it has the potential to impact literally every touchpoint in the customer journey.

But, can enterprises employ automation to the best effect to improve CX? Indeed, they can, and the following use cases show how.


Inquiry and Case Resolution via Self-Service

Almost 88% of customers worldwide expect enterprises to provide self-service options on their portals. This explains why 24x7 active AI chatbots are rapidly being integrated into the CX playbook. These chatbots can automate a range of queries and resolve fundamental customer issues without the customer having to interact with a human agent. In case the issues escalate, they can route them to the backend team for further investigation.

In 2017, Juniper Research predicted that chatbots would save $8 billion in operational costs by 2022. Considering the fast-paced and multi-channel adoption of conversational AI chatbots by both B2C and B2B businesses, this estimate could prove to be conservative.

For enterprises, self-service offers the best of both worlds by automating a range of otherwise overwhelming workflow processes, enabling human agents to solicit real-time information from customers where it matters most and helping them resolve issues as required. In a nutshell, this ensures that the customers' journey is smooth and their needs are met early on.

Customer Data-Mining and Analysis

Access to data is the backbone of automation's efficacy in CX management. Auto-crawling, auto-categorizing, auto-indexing, analysis, and modeling of these data help enterprises to have a clear-cut idea about their customers' mind space — their interests, preferences, requirements, etc.

As such, businesses can boost personalization to ease into the discussion based on their solid understanding of the consumer persona. Personalization can drive anything from sending a welcome email to the customer on activation to customizing the help-desk dashboard depending upon their cross-channel interactions.

The idea is to tailor the customer's experience to their behavior and seamlessly award them points for their loyalty. Thus, they can be incentivized to do what they do best, which is to engage.

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