thomas.wieberneit@aheadcrm.co.nz
Content Management Systems – The Secret of Great CustServ

Content Management Systems – The Secret of Great CustServ

Today’s customer service requirements are getting ever more complicated for businesses. Customers encountering problems increasingly rely on self-help. Customers may start looking for solutions by searching on Google, on community sites, or inside a mobile app. A logical starting point depends on the device and application, as well as personal preferences. The bottom line is: customers want to get to their solution as quickly and easily as possible, and they do not want to change their habits and preferences in order to reach support. Many companies run several customer service applications that support different channels, each with a separate knowledge base (KB) subsystem. These may include a support application for an ecommerce site, some general help pages on the company web site, and FAQs on a mobile application. For internal purposes, there might even be an Enterprise Content Management (ECM) system with information for contact agents to use but that are not published externally. Of course the normal situation for a service agent is to work on more than one channel. This means that depending on the nature of the inquiry, agents need to use and update multiple knowledge bases. This results in additional, redundant work and information. Furthermore, information gets easily out of sync—resulting in confusion. Similarly, customers need to navigate through different knowledge bases and FAQs. Apart from being highly inefficient and ineffective, this has an impact on both employee satisfaction and customer satisfaction. It leads to frustration because customers who do not find their solution need to relay the same information multiple times, and they could be put on hold while the agents research different databases,...
DRU Assist – A Customer Experience

DRU Assist – A Customer Experience

A few weeks ago Domino’s Pizza announced that they introduced conversational AI capabilities in their ordering process to enhance the customer experience. DRU Assist, a Virtual Assistant that is powered by Nuance Technology’s Nina Intelligent Virtual Assistant technology. Of course that caught my interest, looking at AI, chatbots and Virtual Assistants for some time now from a customer experience angle. I believe that there is quite some potential in Virtual Assistants although I saw and still see some risks for customer experience in using them. Used in a wrong way, raising too high expectations that subsequently are not fulfilled, bots can kill the user experience. The doubts I expressed earlier are still there but then I am happy to be convinced otherwise. Domino’s managed a tremendous turnaround after having some serious issues late in the aughties and early tens. Apart from rediscovering quality they implemented a very strong technology strategy that helps them understanding their customers better and helps their customers to a pretty smooth ordering and delivery process. The Intention So, I took the chance to have a conversation with Nuance’s Robert Schwarz about DRU assist, and of course ordered some Pizza using DRU shortly after it came online in New Zealand. Having some Pizza-loving children and a busy lifestyle I am a frequent mobile customer of Domino’s (and no, they didn’t incentivize me for this article in any form). Unluckily I couldn’t get statements from Domino’s, but here we are … Nuance as a vendor has a long history in speech-based interfaces. According to Mr. Schwarz Nina, the Nuance technology behind DRU Assist is really good at...
Customer Service – Hell or Heaven?

Customer Service – Hell or Heaven?

Today, customers are communicating with businesses on a variety of channels. One customer calls in, inquiring about the status of an online order. Another sends an email. A third customer may ask for service in-store. If a mobile app is not meeting the customer’s expectation, the customer may prefer self-help and check an FAQ in the app. An alternative is to initiate a chat with an agent, also inside of the app. Or, if someone is really annoyed, that customer may even rant on a social channel such as Facebook, Twitter, or Instagram.Company reality is that there is more than one CRM, and several business systems. All come with with their own backend. One company might be using all of the following, without even realizing how fragmented the experience is: An e-commerce system that comes with its own service subsystem. An order fulfillment system that is not connected to the CRM. Mobile app support that has its own backend. Social Media that is often run by marketing and not customer support. E-mail support that is handled via a joint inbox, which is not integrated into any support system. This is CustServ Hell! In CustServ Hell, customers do not get recognized and often need to repeat the same information over and over, because there is no integrated process. This is a customer experience nightmare. CustServ Hell forces service agents to work with a great number of applications and/or tabs in their browsers. Their work is very cumbersome, inefficient and error prone. In order to be able to satisfy a customer request, agents need to tap into different applications, like CRM...
CXM! What the Heck is That?

CXM! What the Heck is That?

In his recent very readable article ‘iCXM Comes of Age – Using AI to Know, Engage, and Server Your Customers Better’, CustomerThink.com founder and chief editor Bob Thompson explored how Artificial Intelligence can improve Customer Experience Management – and with extending CXM to iCXM created a new acronym, jokingly noting that the industry is running short on buzzwords. The opportunities that Bob identifies are Knowing your customer Engaging your customer Serving your customer While this is all true, I contend that none of this is about customer experience management, simply because customer experiences are living in the perception of the customer, and hence are solely managed by the customer, not by any company. I wrote about it earlier in my article There is no customer experience without customer engagement. According to Wikipedia, customer experience ‘is the product of an interaction between an organization and a customer over the duration of their relationship. This interaction is made up of three parts: the customer journey, the brand touchpoints the customer interacts with, and the environments the customer experiences … ‘. Therefore customer experience ‘implies customer involvement at different levels – such as rational, emotional, sensorial, physical, and spiritual. Customers respond diversely to direct and indirect contact with a company.’ Lastly, customer experience ‘can be defined as the internal and personal responses of the customers …”. A company, supported by the software it uses, can engage customers in a way that these customers have a positive – or negative – experience. What now is customer experience management? Friend and CRM Godfather Paul Greenberg, in a seminal article clarified on the definitions of...
Google and SAP – A Marriage in the Clouds

Google and SAP – A Marriage in the Clouds

On Mach 8, 2017, SAP and Google announced another marriage in the cloud during Google’s Cloud Next event: SAP HANA is certified on Google’s Cloud Platform GCP, and is generally available now. SAP Cloud Platform and more products and solutions are to follow. The Google Cloud Launcher marketplace will be utilized to offer and deploy to and for customers and partners, starting with SAP HANA, express edition, which is already available, too. Further topics that are covered by this partnership are Improving Google’s containerization technologies for enterprise workloads Security, privacy, and integrity of customer data in the cloud. As part of this SAP software shall act as a data custodian (NB: How that works in legal and political environments remains to be seen) and joint solutions for access control, governance, risk and compliance shall get developed Integrate Google’s G Suite into SAP applications. This has already been implemented for Identity and Access Management. More on the still fuzzy side are end-to-end integrations and collaborations in the areas of AI and machine learning. True to the SAP mantra of being an ecosystem player this is all about choice – choice for the customer to implement what is best for them. My Take Another interesting one! Good Win for SAP SAP now covers all major cloud platforms. HANA is now certified on AWS, Azure, and GCS, apart from running in the SAP cloud. With this SAP now has the broadest footprint when it comes to running on an IaaS platform. With the SAP Cloud Platform being available soon there also will be a very powerful PaaS solution on one of the...
Watson meets Einstein – Elementary, my Dear Holmes

Watson meets Einstein – Elementary, my Dear Holmes

This week Salesforce and IBM announced a global strategic partnership to deliver joint, AI based solutions based upon Salesforce Einstein and IBM Watson, their respective AI platforms. The upcoming solutions will be designed to “deliver everage artificial intelligence and enable companies to make smarter decisions, faster than ever before. With the partnership, IBM Watson, the leading AI platform for business, and Salesforce Einstein, AI that powers the world’s #1 CRM, will seamlessly connect to enable an entirely new level of intelligent customer engagement across sales, service, marketing, commerce and more.” IBM Watson will be connected to the Salesforce Intelligent Customer Success Platform in a way that augments the customer specific insights that are delivered by Einstein with its structured and unstructured data that comes from a variety of sources, in order to be able to use specific as well as more generic, yet industry relevant, information. “Together, Watson and Einstein will ingest, reason over and derive recommendations to accelerate decision making and drive greater customer success.” Initially planned solutions are “IBM Watson and Salesforce Einstein Integration: Integrating IBM Watson APIs into Salesforce will bring predictive insights from unstructured data, inside or outside an enterprise, together with predictive insights from customer data delivered by Salesforce Einstein to enable smarter, faster decisions across sales, service, marketing, commerce and more. For example, by combining local shopping patterns, weather and retail industry data from Watson with customer-specific shopping data and preferences from Salesforce Einstein, a retailer will be able to automatically send highly personalized and localized email campaigns to shoppers.” “IBM Weather Insights for Salesforce: The Weather Company, an IBM business, will power a new...