Salesforce adds more Einstein and Quip to the Service Cloud. Is it good for the Experience?
The News Today Salesforce announced the next release of its Service Cloud. It brings together more Einstein AI as part of the Service Cloud and adds Quip to it. This enables more agent empowerment and efficient work. In order to augment the tools with the necessary knowledge and soft skills, Salesforce also just launched Trailblazers for the Future, a program that is targeted towards increasing the soft skills of service managers and service agents. Einstein now is delivering reply suggestions as well as article suggestions to inquiries that the service representative can easily use to reply to questions. At the same time Einstein suggests so called next best actions that are designed to help increase satisfaction and unearth cross- and upsell opportunities. Additionally, Einstein now optimizes case routing leveraging machine-learning processes on the inquiry to find the ideal queue for processing it. Additionally, Salesforce embedded the collaboration tool Quip into the Service Cloud to increase productivity and to increase service agents’ access to knowledge. The press release is here but for your convenience you can read it below. The Press Release Salesforce Empowers Service Agents with Einstein AI and Quip for Service Service Cloud expands Einstein AI portfolio with new intelligent recommendation and routing capabilities so agents can spend more time where it matters most — building customer relationships and solving complex problems New Quip for Service boosts agent productivity with incident swarming and cross-team collaboration available directly in the agent console SAN FRANCISCO—March 19, 2019—Salesforce [NYSE: CRM], the global leader in CRM, today announced new artificial intelligence and productivity solutions that empower customer service agents...
Salesforce, Service, AI and … IoT
AI, IoT, and CRM, three acronyms. However, these three belong together and should not be treated or looked at separately. One important reason for this is that companies and organizations can provide significantly better service experiences and, more importantly, results, by combining the capabilities behind these acronyms. Good field service not only gets dispatched smartly but also equipped with the right parts and, ideally, in a proactive manner. This can get delivered by the combination of Field Service, AI, and IoT data. That’s why I found Salesforce’s early December announcement of having added a component “IoT insights” to its Field Service Lightning product quite interesting. As the press release said, this capability enables service agents and representatives to see IoT signals together with other CRM data, so that the triple p of personalized, proactive, even predictive service is possible. After all, Einstein is embedded into Field Service Lightning for quite some time now. Doing so, Salesforce wisely did not implement yet another IoT platform but enabled its system to ingest data from existing IoT platforms, thus sticking to the core competencies of the company. The solution helps in three areas: Enabling of early issue anticipation (rather than detection, which is responsive) and remote diagnosis Providing agents with more relevant information, to speed up issue resolution And automation via rules and workflows. Says Paolo Bergamo, SVP and GM, Salesforce Field Service Lightning: Let me first clarify that we’re not competing with IoT platforms from the likes of AWS IoT or Azure IoT. Our solution extends the value of these platforms – they provide streams of device data that then flow...
The Return of the Suite
The suite is back. I have said and written that a good number of times in the past few years. And that is a good thing (that the suite is back, not that I said it, of course), because one of the major challenges with a best of breed approach is integration. The suite is back, but it is in an incarnation that vastly differs from what we knew about suites back in the times before cloud computing and Salesforce brought back a supremacy of best of breed over the suite. Integrating different pieces of software from different vendors into one coherent whole is easily accounting for one third to one half of project budgets. And this part of the overall cost for implementing new software is often plaid down by best of breed vendors. Which is not a crime, especially if the benefits of the best of breed software outweigh the cost of integration. However. Often it does not. And not openly addressing cost of integration backfires. Always. Believe me. If you research my background well enough you will find out why you should. Little hint: I am not only writing about things. Another strong argument in favor of the suite is the platform war that is currently going on. Why? Simply, because a platform is not only a technical platform. It is more. A platform consists of mainly four pieces: a technical platform the ability of turning data into insight, an ecosystem, and productivity support. And, very importantly, a necessary capability that is provided by the technical platform is integration. Some other aspects include the provision of...