Salesforce Powers the Intelligent, Autonomous Enterprise by Connecting Einstein GPT and Data Cloud to Flow
With generative AI, real-time data, and capabilities in Flow, customers can use natural language to create intelligent, automated workflows that use real-time signals — such as changes in customer behavior or market conditions — to trigger actions

Salesforce Powers the Intelligent, Autonomous Enterprise by Connecting Einstein GPT and Data Cloud to Flow

Gaurav Pratap Singh Gaurav Pratap Singh

Gaurav Pratap Singh

Transforming Businesses with Salesforce Innovation ☁ 🧑🤝🧑🌟 Salesforce Marketing Champion 🏆 || Certified Business Analyst & Consultant || Community Speaker || Equality || #MomentMarketer

Published Apr 25, 2023
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Salesforce introduced new Einstein GPT and Data Cloud features for Flow, its automation tool suite, today. 


Customers can now automate complicated processes and trigger actions based on real-time changes by powering Flow with Data Cloud, which combines all of a company's customer data across channels and interactions into single, real-time customer profiles. For example, if a marketing automation system detects that a consumer has abandoned their online shopping basket, it will immediately send them a follow-up email with a personalised discount coupon to entice them to complete their purchase.


Einstein GPT is Salesforce's generative AI CRM technology, and when used with Flow, users can develop and change automations via a conversational interface, greatly simplifying the flow creation process and lowering hurdles for non-technical users.

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A text prompt may be used to construct workflows in Einstein GPT for Flow. For instance, a user may enter "Send an email to a group when an opportunity is won." The browser is then told by Einstein GPT for Flow what to click on and what to type into the Flow Builder user interface. It understands how to deal with the context of Salesforce records and metadata to accurately set the action.

Einstein GPT for Flow in action: Einstein GPT for Flow enables business users and administrators to work more efficiently to create AI-powered automation with improved usability and accessibility, as well as greater speed. 

  • Instead of having to design each flow manually, step by step, business users and administrators may specify the type of flow they want and watch it produced for them in near real time.
  • Users can also describe a formula and Einstein GPT will generate it for them. This eliminates the need to carefully piece together formulae, reducing the chance of errors inside formula syntax. 
  • Users will benefit from increased searchability by specifying a function they need to identify and having Einstein GPT automatically inject the proper flow, rather than having to search for sub flows and invocable actions.

Data Cloud for Flow in action: Flow powered by Data Cloud enables businesses to make every experience feel linked and personalized. 

  • Marketers optimise the retail experience by giving in-store discounts at the proper time using automation backed by real-time telemetry data. 
  • Real-time data is used by commerce experts to fuel dynamic pricing in ecommerce, which dynamically adjusts prices depending on real-time demand and supply - as well as updating inventory levels and availability information.
  • Financial services firms employ real-time data to automate fraud detection and prevention by identifying suspicious transactions based on out-of-the-ordinary trends, such as big withdrawals or transfers to foreign nations. 
  • Real-time data is used by manufacturing businesses to optimise production processes and efficiency by monitoring machine performance in real time to trigger automatic repair requests. 


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