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Automatically detecting unique information in tickets



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Erin O'Callaghan

Zendesk Documentation Team

Edited May 01, 2025


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16 comments

Does this functionality work with WhatsApp?

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When will we be able to update a custom field with the regex?
It would be very useful to be able to click and update the order number custom field

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Hi team,

 

Can I have a quick check with you on whether Entity Detection has the capability to update automatically the other existing ticket fields already in place beside the newly created Entity field?

 

Is it something possible automatically or can only be achieved for now using conventional setup like triggers and automations?

 

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Hi,

Firstly, I appreciate the new entity prediction feature.

I do have some feedback and questions about it. I've been trialling this, just for reporting purposes so far and with more frontline automation purposes later on.

 

My example is the prediction field I set up named “Product Line Prediction”, with a taxonomy of products which my company produces. 

 

Questions:

  • False Positives. Some of those products in house here have a rather generic name such as  ‘Inspections’  so it's getting detected or predicted in normal unrelated sentences. More specifically, I needed those product names to be treated as nouns rather than generic verbs being detected. Any recommendations on that? Any plans for an exclusions, ‘exact match’ or noun/verb type of setting?
  • Multi-value There are situations where a multi value would be useful i.e. both product a and product b detected , and can feed into VOC reporting or into automated procedures involving 2 products- is this available or considered as a future feature?

Also a reporting recipe document would be useful. A tip I'll share with the community here regarding validating the AI, is : 

using the Support tickets data set in explore reporting,  add a row for Brand, ticket ID, Intent, [Your automatic  Entity name}, [your manual categorisation field that staff use]. I've been comparing the prediction fields to the fields that staff use currently to categorise the ticket. This comparison helps isolate any unusual Intent or Entity predictions

 

 

 

 

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Excelente esse recurso!  Algumas dúvidas relacionadas a esse recurso: 

 

a) Os campos personalizados criados no menu Objetos e regras > Tickets > Campos também poderão ser considerados como entidades, ou precisam ser novamente cadastrados um a um como previsões na Triagem inteligente?

 

b) No processo de inclusão de novas previsões, seria interessante que o menu Ações também tornasse possível a vinculação com campos personalizados existentes.

 

c) Se a detecção não se aplicar a campos personalizados tradicionais em uso na instância, e o administrador optar pelo uso de entidades, os relatórios configurados com campos personalizados tradicionais também terão um impacto, e precisarão ser atualizados com essas variáveis. Algum recurso mapeado para facilitar esse processo?

 

  

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Hi

Any update on the release on pattern detection yet?
Ability to identify the order number and populate a custom field would be a brilliant functionality for us. 

It may seem trivial but shaving AHT by a few seconds on thousands of tickets and increasing accuracy would be great!

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Hello,

 

I am setting this up in our account but it doesn´t seem to work properly.  The AI is simply reading whether the customer is saying the “magic” word indicated in the custom field, but not really paying attention to the context or anything. 

 

Can anyone review this with me? thank you! 

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1264158222289 Any idea on when Regex fields or dates fields will be available to complete? Also, are you planning to include the possibility to create a definition of the information to extract from the ticket. (Exemple : Extract the date of the event the customer wants to attend / Result : Complete a date field on the form). Thanks

 

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Hi 1268286731109 and 1900994839044, regarding plans to add this functionality for the Regex field type, that enhancement is something the team is investigating for future implementation!

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+1 to Yaniv, looking for the entity detection to be able to catch on synonyms or slight misspellings.

 

Example

- entity: Nikon D7500

- variation that should still classify with the same entity: nikoond7500, d7500, nd7500, etc.

 

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