This is part of the family of products within the Einstein Platform that helps Admins and Developers build their own AI-Powered Assistants.
With this product, we could deliver optimal recommendation at the point of maximum impact like we could recommend the most relevant offer at the perfect timing etc..
How to deliver recommendation?
Step1- Define your Recommendation
First, chose the type of recommendation to share with your employee or the customer like an attractive offer or discount
Once, you have defined your recommendation, incorporate them into Action Strategies
Step2 - Create Action Strategies
Just add the Recommendation and any Business Rule (which are like decision box or criteria in flow), basically to decide how they should be displayed.
Step3 - Integrate your sources of Insight
Then integrate your sources of insight both internal and external into your Action Strategy (e.g. you can integrate a likelihood to a predictio built with Einstein Prediction builder)
Step4 - Embed Recommendation
Now we can embed the ENBA component that we have created onto any salesforce record or external page making it's easy for Employees and Customers to get recommendation where and when they need most and finally can take Action on the Recommendation.
Step 5- Take Action
Once the recommendation is displayed, it can be accepted or rejected (based on our thought about the suggestion that is given)
Suppose the Service agent accept the Recommendation to offer a discount to a customer (who's likely to attrit) and just because its connected to lightning flow the offer will be sent quickly
Where is it ?
Next Best Action -
Setup > Process Automation > Next Best Action
Recommendation -
App Laucher > Recommendation
Why ENBA?
Without ENBA, the agent would have to complete a lengthy manual process to give an offer
With ENBA, the agent have to click 'Accept' and lightning flow will automatically package and send the offer email to the user so that the agent never have to leave the record(like Account/Contact page), saving time and staying in the context.
Other Example where we can use ENBA - (Sales Cloud)
- Send a notification to customer that contract is expiring
- Upsell product or service to customer who meets requirements
- Recommend how to allocate resources based on sales forecasts
- Remind if there’s a new hot lead or a promise to follow-up with a customer
- Send custom proposal to prospect based on likelihood to engage
More Service, Marketing and Commerce Cloud related examples we can find here -
https://trailhead.salesforce.com/en/content/learn/modules/einstein-next-best-action/get-started-with-einstein-next-best-action
So, its easy now to deliver recommendation or suggestion to our employee and customers with just one click
Reference(s):
https://trailhead.salesforce.com/content/learn/modules/einstein-next-best-action
https://help.salesforce.com/s/articleView?id=sf.nba_implementation_checklist.htm&type=5
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