https://all.docs.genesys.com/index.php?action=history&feed=atom&title=CE17%2FCanonical 2026-05-02T02:50:26Z Revision history for this page on the wiki MediaWiki 1.31.1 https://all.docs.genesys.com/index.php?title=CE17/Canonical&diff=179&oldid=prev 2018-08-22T18:18:21Z

<p>1 revision imported</p> <table class="diff diff-contentalign-left" data-mw="interface"> <tr class="diff-title" lang="en"> <td colspan="1" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="1" style="background-color: #fff; color: #222; text-align: center;">Revision as of 18:18, August 22, 2018</td> </tr><tr><td colspan="2" class="diff-notice" lang="en"><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

Bgrenon https://all.docs.genesys.com/index.php?title=CE17/Canonical&diff=178&oldid=prev 2018-07-18T17:50:14Z

<p></p> <p><b>New page</b></p><div>{{SMART Meta<br /> |SolutionCategory=CE<br /> |Solution=Digital<br /> |Title=Genesys Digital Auto-response<br /> |Subtitle=Automate responses for digital interactions<br /> }}<br /> {{SMART Canonical<br /> |PlatformChallenge=Customer service interaction volumes are skyrocketing. Companies struggle to respond in time to such large volumes of requests that negatively impacts workforce management and overall business performance. In a modern digital world, managing large amounts of interactions doesn’t have to be that difficult.<br /> |PlatformSolution=Companies need to automate their responses for frequent or common customer inquiries received via email, web, SMS, or social media channels in order to have their resource focus on crafting tailored and personalized responses to high value or critical requests.<br /> |HighLevelFlowLucid=https://www.lucidchart.com/documents/edit/8304bcac-103d-48b8-a381-f9dd0bcd0c5e/0<br /> |BuyerPersonas=Chief Digital Officer, Head of Customer Experience, Head of Customer Service<br /> |QualifyingQuestions=# Do you analyze content of email, SMS, and social messages?<br /> # Do you provide suggested responses to your agents?<br /> # Do you allow escalation if answer was not satisfactory?<br /> }}<br /> {{SMART DataSheetFlow<br /> |Flow=A customer is looking for information<br /> }}<br /> {{SMART DataSheetFlow<br /> |Flow=Customer sends an SMS, social media message, or submits a web form<br /> }}<br /> {{SMART DataSheetFlow<br /> |Flow=The content or question is analyzed, and the best response is sent to the customer<br /> }}<br /> {{SMART DataSheetFlow<br /> |Flow=Customer asks for escalation if answer is not satisfactory<br /> }}<br /> {{SMART DataSheetFlow<br /> |Flow=The agent replies to the customer with a tailored response<br /> }}<br /> {{SMART Benefits<br /> |CanonicalBenefitID=Reduced Volume of Interactions<br /> |CanonicalBenefit=Reduce volume of interactions handled by agents by deflecting to automated responses.<br /> }}<br /> {{SMART Benefits<br /> |CanonicalBenefitID=Reduced Handle Time<br /> |CanonicalBenefit=Improve average handling time by providing agents with suggested responses.<br /> }}<br /> {{SMART Benefits<br /> |CanonicalBenefitID=Increased Revenue<br /> |CanonicalBenefit=Improve revenue through recognizing and escalating opportunities<br /> }}</div>

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