by Thomas Wieberneit | Nov 25, 2018 | Blog |
Back in 2015 the Washington D.C. Office of Unified Communications (OUC) started a re-platforming exercise of their backbone from an on premise system to a cloud based customer service solution. The Washington, D.C. Office of Unified Communications manages non-emergency services for 311 callers across the District of Columbia, supporting 17 different agencies, including the Department of Transportation, the Department of Public Works, the Department of Motor Vehicles, and more. The OUC also manages emergency services for 911 callers. One of the main reasons for this re-platforming was the downtime challenge inherent to all on premise platforms: They need to be upgraded regularly, which causes service degradation or even unavailability. Other reasons included insufficient and slow reporting capabilities as well as the need to add more self-service channels. Having strong reporting and analytics capabilities are crucially important for call centers. The biggest thing for them is the answer and solution rate, which needs to be as high as possible. Additional self-service channels were necessary to be able to cope with the influx of requests and to both, improve customer satisfaction and modernize the customer experience. To further achieve the latter, a chat service and social media channels like Facebook, Instagram and Twitter have been added to the 311 services. All of these challenges have been addressed by migrating to a software solution based upon the Salesforce Service Cloud, along with some organizational measures. Being a main KPI, the answer wait time has been drastically reduced from 7 minutes to a mere 31 seconds. Doesn’t sound good to you? Consider that the service still serves 1.8 million calls per year with...
by Thomas Wieberneit | Jul 23, 2018 | Analysis, Blog |
The News A few days ago Salesforce released a new iteration of its Service Cloud Einstein after infusing its artificial intelligence, Einstein, into the Service Cloud in February 2017. This release comes with three major enhancements to the Service Cloud: Einstein Bots for Service Lightning Flow for Service Einstein Next Best Action Einstein Bots for Service is providing the ability to easily configure chat bots that enable instant response to customers and a seamless handoff to customer service agents. Lightning Flow for Service gives companies the ability to automate processes with contextual, step-by-step guidance for fulfilling requests and resolving issues, using a graphical interface. Einstein Next Best Action is delivering intelligent recommendations and offers on any channel to increase customer satisfaction. While Einstein Bots for Service and Lightning Flow for Service are in General Availability since July 11, 2018, Einstein Next Best Actions will remain in a Pilot phase for some more time. The reason for this is that Salesforce wants to be double sure that this functionality is reliable. It needs a good amount of data and a good training set. And Salesforce cannot look into the data. The bots themselves do need to get trained and, once active, take feedback from the service agents. All three features work hand-in-hand. Salesforce uses a credit card scenario to make this point. When a customer goes to the web site for help the chat bot takes over and gathers the necessary contextual information and then escalates the issue to a customer service agent who continues the chat at the position the chat bot exited with all information available. A Lightning...
by Thomas Wieberneit | Jan 6, 2018 | Blog |
It has been a little more than half a year now that I didn’t update on what is going on with SAP CRM and S/4HANA (which I will refer to as S/4 from now on; SAP it is time for you to change the unwieldy name to something more manageable). What Happened – So Far As you are well aware SAP is working on integrating a simplified version of SAP CRM into S4. The original roadmap offered a first customer release of an integrated product in early 2018, based on the September 2017 release of S4. The integration was planned as an add-on to S4. The initial scope of this CRM add on for S/4 was supposed to cover what is referred to as ‘core service’ functionality. This initial release shall be followed by ‘core sales’ functionality later in 2018. 2019 then is supposed to be dedicated to another round-off release covering further sales and service functionality, including loyalty management and migration tools. Roadmap and statements also so far have been fairly fuzzy about the strategic distinction between CRM as a part of S4 and the SAP Hybris line of CRM- and CEM systems. What does the Future have in its Basket? As it seems now, the release is not going to happen as fast as planned, nor in the originally planned way. Instead, in a webinar recently held for partners, SAP ‘announced’ two very interesting changes, with the second one likely also being a consequence of the first one. SAP CRM will no more be referred to as an add-on to S/4 but, at least for the service...
by Thomas Wieberneit | Sep 12, 2017 | Analysis, Blog |
The News On September 7, 2017 Helpshift announced the appointment of a new CEO in a blog post. Salesforce veteran Linda Crawford, with a tenure in the CRM arena that stretches back to 1996, took over the role, being the successor of co-founder Abinash Tripathy. Before, she held various positions at Salesforce, Rivermine, and Siebel. Most recently she held the position of a Chief Customer Officer at Optimizely. This track record certainly qualifies her to have a go at growing an interesting company to the next level. Helpshift itself is the company that created the mobile in app support market back in 2011 and, so far, has a keen focus on this area under the leadership of Abinash. Investors include Cisco, Intel, Microsoft, and Salesforce. Both, Microsoft and Salesforce, have been lead investors of the Series B financing round in June 2016. The Bigger Picture The customer service center market is extremely crowded and contested. Helpshift itself has a strong product and a good customer base, originating from the gaming industry but also running the customer service technology behind Microsoft Outlook Mobile. The company is targeting bigger accounts and is already amongst the ranks of Salesforce partners, having a deep integration. However, the overall market is turning into a platform play, which will be dominated by two or three business platforms for bigger companies, and maybe a handful more that cover SMBs. The platform companies are also providing strong business applications, including customer service, even in-app service. And then there are companies that build multi channel customer service solutions on these platforms, too. Are they as good as Helpshift?...
by Thomas Wieberneit | Sep 1, 2017 | Blog |
A few weeks ago I wrote an article about customer service in a world of ambient computing. This article looked at customer service from a customer’s point of view. In it I described how I see customer service getting humanized again by leveraging the advances in AI technologies like Natural Language Processing, speech-to-text- and text-to-speech generation along with intent determination. Leveraging these technologies customer service will turn into a conversation and it won’t matter anymore whether service is delivered by a bot or by a human. For the customer it will all appear to be the same. Instead of FAQs or web searches, bots will be the first line of support and escalate a problem to humans if they cannot solve it on their own. The obvious question is whether there will be an impact on the customer service center? And it probably does. Call centers, and with it the service agents as well as their managers, already now are under intense pressure to deliver, and to deliver more efficiently. With the increasing use of call deflection technologies like FAQs and communities there is a trend for the incidents facing the agents becoming more challenging. For example Helpshift states that already with its technology it is able to deflect about 90% of all incidents, which are solved via the native in-app FAQ that is delivered by the them. This statement basically says that the support staff is basically relieved of dealing with simple matters but has the chance to take up the more challenging ones. Still, in a world of ambient computing any given app can have hundreds of...
