Question from #CampSuccess - What an informative session! Thanks so much for all the info. I was able to set up recommendations with next best action in my test environment today. How does the model get "smarter" each time an agent either accepts or rejects a recommendation offered by NBA? The example I have set up is based on a segment field on a contact. If in the education segment, NBA recommends some talking points for the agents when this customer calls in. Do I need to add a field to the contact record to capture if the recommendation was accepted? It seems like with my current set up I am just programming the recommendations manually. Do I need to get predictions involved? Any details would be greatly appreciated. Thanks!
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@TRISHA ROSKOM Einstein Recommendation Builder can learn from past successful outcomes to provide intelligent recommendations. Please feel free to reach out if you'd like to explore this further, we're actively recruiting customers for the Winter Beta.