Personalized Community is here!
Quickly customize your community to find the content you seek.
Microsoft Customer Co-creation
Help impact how the tools and services you rely on are developed. Microsoft Customer Co-creation connects you directly with our engineers so you can provide feedback before a single line of code is written. Interested? Learn more at Microsoft Customer Co-creation
2021 Release Wave 1Discover the latest updates and new features to Dynamics 365 planned April 2021 through September 2021.
Release overview guides and videos Release Plan | Preview 2021 Release Wave 1 Timeline
The FastTrack program is designed to help you accelerate your Dynamics 365 deployment with confidence.
FastTrack Program | Finance and Operations TechTalks | Customer Engagement TechTalks | Upcoming TechTalks | All TechTalks
Email messages are a great source of contact information for salespeople, but having to manually create contacts from messages takes a lot of time. To help you spend more of your time selling, the premium auto capture capability in Dynamics 365 Sales uses advanced AI to mine details from email messages, such as the To and From fields, body text, and signature, to automatically create contacts for you.
Let's review two examples where premium auto capture uses AI to capture data directly from email text and convert it to contacts.
Consider the following example. Instead of manually copying and pasting the various elements into a new contact, our machine learning model detects the signature in the email and automatically imports the information. The model was developed from a large data set of examples of email messages, in various shapes and forms.
We represent each line in an example email as a vector, which is a series of numbers. This vector is the fingerprint of a signature line versus non-signature line, and contains numbers that represent uppercase letters, whether or not a closing like “Thanks” or “Regards” appears, what portion of the line contain names, and more. AI learns from the vectors which line is part of a signature. We then run another algorithm to determine the signature block. Eventually, we extract the signature entities: name, organization, phone number, email address, job title, and address. In the example above, the block starts with Regards and ends with firstname.lastname@example.org.
After detecting a signature, the contact will automatically be suggested for you to add, saving you valuable time and costly errors. This is how it looks in the product:
In addition to the signature, the email body is also a great source for new contact information, but it requires the challenging task of matching different entities. For example matching a name with an email address. In the example above, we have a mention of Maria, the COO. We identify that this is a name, and then match it with email@example.com. The matching need not be exact; our AI can guess from the email address that it corresponds to a certain name.
We encourage you to explore premium auto capture in Dynamics 365 Sales to understand how it helps your sales team capture more contacts, more accurately, and with less effort. Sign up for a trial to get started.
If you’re currently using premium auto capture and have any feedback, questions, or suggestions, we'd like to hear from you on the Ideas forum.
To learn about the full capabilities of Dynamics 365 Sales and the value it can bring to your organization, visit Dynamics 365 Sales. To get started with activity suggestions, visit our documentation and read about premium auto capture. For a list of supported languages and answers to other common questions, read the FAQ.
The post Automatically capture contacts from email in Dynamics 365 Sales appeared first on Microsoft Dynamics 365 Blog.
Business Applications communities