This can be a process workflow that includes tasks that app users would perform under a particular set of circumstances - such as schedule a consult, deploy a technician and update an offer. Users can learn how to build a Salesforce app that not only generates recommendations, but also embeds them in a business process to aid in decision-making at the moment when it's most needed. The app builder makes use of all these features and adds a new one: Next Best Action, a rules engine that takes enterprise data stored in Salesforce, combines it with external data and processes it in Einstein to generate the user's next step at optimal points in a workflow - prompting a client call, recommending a meeting and so on.

The introduction of Einstein - the Salesforce analytics-machine learning suite - was an even bigger step, enabling users to learn how to build a Salesforce app with sophisticated predictive features. Flow, its drag-and-drop toolbox for constructing process automation workflows, was a huge step forward. The Lightning App Builder has evolved steadily to accommodate this need. The speed and low cost of Salesforce apps is a strategic plus, as the need for process automation grows increasingly urgent. But it's more than just a matter of convenience.

Best app builder visualing.com