Over a million developers have joined DZone.

Engaging the Digital Customer With AI

DZone's Guide to

Engaging the Digital Customer With AI

Whatever the application, it’s the conversational ability — based on natural language interaction and AI — that will make the difference.

· AI Zone ·
Free Resource

Insight for I&O leaders on deploying AIOps platforms to enhance performance monitoring today. Read the Guide.

Some of UK’s major brands came together last month at the Engage Summit to discuss engaging with the digital customer. While pain points varied dramatically, at the heart of the debates on customer engagement, there were several problem areas that linked these diverse businesses together.

All agreed that contact with customers is becoming increasingly remote and that it's harder to engage over traditional channels. While people are frequent and keen consumers of content provided by the brands, this is no guarantee of loyalty. Customers will use the business that provides the best experience for their needs.

But those needs are diverse and use up vital company resources such as call center staff. A clear need is emerging to streamline processes for low-value transactions in order to free up resources to focus on higher-value customers. However, most solutions implemented thus far are piecemeal and only focus on the short-term goal.

The ease of use in enabling customer engagement is a top priority, but customer frustration — particularly with repeating information and rigid adherence to call center scripts — is rife. This escalates especially when customers feel that they have provided the information in context, but it has not been noticed, or if they feel that they're being sold to when all they want is some information.

Despite wanting to give a better experience to their customers, the delegates agreed that most companies engage badly with customers, citing a heavy reliance on legacy systems as one of the key reasons.

We’ve discussed in previous posts how customer engagement rises with natural language interaction. NLI overcomes many of the difficulties brands face in building a closer relationship with digital customers, and one of the key differentiators from other natural language technology is its conversational ability.

The future of AI in customer engagement needs to be much more conversational if enterprises are to meet consumer demands for a sophisticated, intelligent experience. Humanlike understanding including context and sentiment must be combined with back-end data to enable deeper personalization to pave the way for organizations to reconnect with their digital customers.

While digital employees and other interfaces have come a long way in short time, it’s only with technology such as NLI that organizations can develop AI-based applications that will delight customers and deliver a tangible return to the business.

For forward-thinking enterprises, the time to take action is now. Develop your strategy and think big, but work forward in practical steps with clear goals. And remember, whatever the application, it’s the conversational ability that will make the difference to your customer, your brand, and ultimately your sales.

TrueSight is an AIOps platform, powered by machine learning and analytics, that elevates IT operations to address multi-cloud complexity and the speed of digital transformation.

ai ,nlp ,conversational app ,bot development ,app development

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}