thomas.wieberneit@aheadcrm.co.nz
Salesforce Einstein Search – The Formula for Customer Success?

Salesforce Einstein Search – The Formula for Customer Success?

The News Last week Salesforce announced Einstein Search, an enhancement of the search mechanisms that are already available in its applications. As usual you can read the announcement online or below. Salesforce wants to release three main issues with Einstein Search:     The diverse interests and objective of users of enterprise search make it hard to be as good as a consumer search as delivered by Google or Bing, or the other consumer search engines, especially if in an ecommerce environment. In an enterprise setting, objectives can vary between closing a deal or solving a case, or creating new campaigns. This creates hidden complexities. There are no safe assumptions. Data is residing in different silos and frequently not linked. Further, there is no one size fits it all as Salesforce as an application normally is customized to suit an individual customer’s needs Third, the data simply does not belong to Salesforce, with the consequence that Salesforce cannot look into the data, even not with the objective of improving search. This makes it impossible to use traditional machine learning approaches. As per now Einstein Search is in a private beta stadium with only a few customers using it. General availability is planned for 2020 but limited to customers on Unlimited, Enterprise, or Performance Edition plans with 150 or more active licenses for the Sales or Service Cloud. So far the implementation of Einstein Search covers the top 5 searched objects: accounts, opportunities, contacts, cases and leads, but is intended to support further objects. According to Will Breetz, VP of product management for Einstein Search at Salesforce, Einstein Search is...
Salesforce goes SMB – again

Salesforce goes SMB – again

The News Last week, on July 24, 2019 Salesforce announced adding conversation channels to its Salesforce Essentials offering with the goal of giving small businesses more personalized ways to interact with their customers. As usual, you can read the press release below or directly on the Salesforce web site. In a nutshell, Salesforce adds the ability to have conversations with Facebook Messenger, to get notifications when customers comment to posts and videos on Instagram or Youtube, and native phone support. All this can get set up with the help of simple guided walkthroughs. The overall goals are to speed up the setup and to offer a path for growth. The latter being offered by the fact that Salesforce Essentials is built on the same platform as Salesforce’s enterprise applications and is essentially an entry tier for small businesses. Still, talking to Melissa Meli, Director of Product Marketing for Salesforce Essentials, the emphasis is on easy.   Salesforce Adds New Conversation Channels to Salesforce Essentials, Giving Small Businesses Personalized Ways to Interact with Customers    With Salesforce Essentials, small businesses can easily adopt the world’s #1 CRM platform— designed to scale and grow with them   New social, chat and phone capabilities in Salesforce Essentials empower small businesses to communicate with customers on their preferred channels—and can be deployed in just minutes    Customers like G Photography, Mission.org and PepTalkHer rely on Salesforce Essentials to reimagine and grow their business   SAN FRANCISCO—JULY 24, 2019—Salesforce [NYSE: CRM], the global leader in CRM, today delivered new conversation channels in Salesforce Essentials, the all-in-one CRM solution built specifically for small businesses. Salesforce Essentials empowers every small...
Salesforce adds more Einstein and Quip to the Service Cloud. Is it good for the Experience?

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

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 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...