O365: Shared Inboxes automatisch bearbeiten (10. Mai 2021)

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O365: Shared Inboxes automatisch bearbeiten (10. Mai 2021)

Blog/O365: Shared Inboxes automatisch bearbeiten (10. Mai 2021)

Ihre Kunden schicken Anfragen an ein zentrales, freigegebenes Postfach, z.b. [email protected], wo Emails manuell sortiert und an die Bearbeiter weitergesendet werden. Die Easy Tagging App automatisiert diesen Prozess: in einer Anlernphase analysiert die App Ihre Emails und lernt sie selbständig an die richtigen Empfänger weiterzuschicken.

Managing shared inboxes, like [email protected], or [email protected], can be errorprone and time consuming: a group of persons are scanning incoming emails from the inbox, and forwarding them to their email inbox before they reply to the customer, colleague, or other external stakeholder. This approach requires that the persons regularily go through all emails in the shared inbox, read and understand if they should reply to an specific email.

You can improve this process if you teach the Easy Tagging App to assign emails to a set of classes, like: job applications, inquiries, issues, invocies etc. In a second step, the App scans a shared inbox periodically for new emails, classifies them and forwards them to the recipient who is assigned to a class. This allows you to automate the process and each email is directed to a responsible person in a timely manner.

The following steps assume that you have Sharepoint Online/Office 365 and a shared inbox that contains a couple of emails. Further you should be able to assign each email to a specific set of classes, like invoices, job applications etc. After you have completed these steps, your shared inbox will be scanned periodically for new emails, which will be analysed, categorized and forwarded to the recipient who is associated to the class.

Watch the steps in the video:

What's next?

  • Create predictors that process your document libraries automatically, e.g.:
    • The Easy Tagging App has a built-in predictor that detects the language that is used in documents. You can simply use that predictor in a tagger to tag all your documents with the language. Similar to the steps in section 3 you would simply create another refiner that allows users to restrict their search results to certain languages.
    • The Easy Tagging App is able to identify important words from documents and store them in the termstore as a new termset. If you let the tagger tag your documents with them, then your users can use them to filter their search results.

Questions?

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