by twieberneit | Sep 4, 2020 | Analysis, Blog |
The News On September 1, 2020 Salesforce announced its next round of updates to its Field Service Management solution. Eric Jacobson, Salesforce VP Product Management, Field Service and Gary Brandeleer, Senior Director Product Management, Field Service gave me an interesting briefing and demo beforehand. The new releases are all about efficient processing of the engagement throughout the whole process. In detail they are about Dynamic job scheduling Using Einstein Recommendation Builder to ensure that service technicians have the right spare parts available Asset management capabilities that allow companies a detailed view into the installed base at their customers. This is developed in cooperation with ServiceMax Improvements to the appointment assistant to provide as accurate as possible information to the customer about the arrival time of the service technician. The various features shall be made generally available through the next 6 months; as this is a forward looking statement, this may be subject to change. For your convenience, find the complete announcement below. Introducing the Next Generation of Field Service at Salesforce: AI-Powered Tools for Trusted, Mission-Critical Field Service By Mark Cattini, SVP of Field Service Management Today we are announcing the next generation of Salesforce Field Service, equipping teams across industries with AI-powered tools to deliver trusted, mission-critical field service. Built on the world’s #1 CRM, Salesforce Field Service includes new appointment scheduling and optimization capabilities, AI-driven guidance for dispatchers, asset performance insights and automated customer communications, all of which help ensure jobs are completed the first time, on time, every time. When the pandemic first hit, many industries that send employees out to complete jobs in the field...
by twieberneit | Jan 28, 2019 | Analysis, Blog |
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...
by twieberneit | Apr 18, 2018 | Analysis, Blog |
The News On April 17, 2018 Salesforce announced their next-generation Field Service Lightning, which shall take customer experiences to new heights. The release implements four major improvements, which are: The ability to easily plug in an appointment management into a web site Simplified initiation and execution of return processes by customers and technicians The ability to select and dispatch repair crews for more complicated service jobs based upon abilities and availabilities A guided setup using a visual wizard to set up Field Service Lightning and that reduces the number of clicks necessary to get started by approximately two thirds on average. Below is the full text of the announcement. Alternatively you can read it here. Next-Generation Field Service Lightning Takes Customer Experiences to New Heights Paolo Bergamo, SVP and GM, Field Service Lightning & Mobile 4.17.18 If you’ve ever spent a day waiting for the washing machine repair person or the utilities worker to show up, you know how trying it can be. But, when that employee shows up on time, armed with the right parts and is able to fix your problem on their first visit, you’re amazed. Even delighted. It feels like the company has your back. Here at Salesforce, we’re laser-focused on provided a connected customer experience. That’s the main reason why we launched Field Service Lightning two years ago. We wanted to extend the world’s #1 service platform, Service Cloud, to field service – to equip mobile employees and dispatchers with all the information they need to provide customers with a connected experience that simply “wows”. And today we’re excited to...
by twieberneit | Jul 13, 2017 | Analysis, Blog |
On July 12, 2017 Salesforce announced its new, Einstein-enhanced version of Field Service. This release brings mainly three innovations to the already strong Service Cloud, which is the leading Customer Service solution according to Gartner Group. Here the complete wording of the press release, in case you did not want to follow the link but still are interested in it: Salesforce Delivers Einstein AI and Analytics For Field Service Lightning Built on the Service Cloud Platform, new innovations for Field Service Lightning arm the mobile workforce with image recognition technology, smart equipment management and deep analytics to bolster productivity and efficiency Companies including Atlantic Energy are harnessing the power of Field Service Lightning to deliver insight, onsite SAN FRANCISCO—July 12, 2017—Salesforce [NYSE: CRM], the global leader in CRM, today introduced Einstein AI and Analytics for Field Service Lightning, empowering companies to deliver a smarter onsite customer experience that is built on the world’s #1 customer service platform. Field Service Lightning now brings together the insights and intelligence mobile workers need to increase productivity, boost onsite efficiency and drive revenue. The Salesforce Service Cloud has redefined customer service across every major technological shift—cloud, mobile, social, messaging and more. And last year with the introduction of Field Service Lightning, Salesforce extended the power of Service Cloud to create a full service platform for managers, dispatchers and mobile workers. However, as the multi-billion dollar field service market expands into new industries—including finance, healthcare, manufacturing and retail—there is even more demand to deliver onsite service. Field service technicians have to deal with complicated equipment, don’t always have the right parts and often lack...
