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InboxCare

InboxCare by Golem.ai is a solution that automatically labels, categorizes, and extracts actionable information from any kind of messages and attachments.

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Presentation

InboxCare by Golem.ai is a robust tool designed to enhance message processing efficiency. Its four primary features are:

- Labeling : automatically tags written samples with relevant categories, streamlining data organization and enhancing message management capabilities.

- Automatic Categorization: This feature sorts and routes emails and attachments by understanding customer intentions, ensuring quick and accurate request handling.

- Information Extraction from text and files: It extracts key data from messages and attachments, which can be used to personalize responses, update CRM and information systems, and inform relevant staff members.

- Suggested Response Generation: InboxCare creates personalized automatic responses or drafts based on the detected customer intent, reducing repetitive tasks and improving response precision.


For more details, visit the InboxCare page.


Who is the solution for?

InboxCare is ideal for :

- Companies that handle large amounts of incoming messages that require actions and/or answers.

- Product owners and developers whose applications manage forms or messages that need automatic understanding and classification.

- Data scientists looking to automatically label large amounts of text based on a specific context.

- RPA developpers who need to automate processes involving text and documents.

How to get started

Access technical documentation.

Pricing

Contact Golem.ai by clicking on the 'Contact Us' button in the banner at the top of this page for personalized quote.

Support

Our support method is designed to provide service with a target to a 99.9% Service Level Objective (SLO). During open hours, we ensure that all inquiries and issues are addressed within less than one hour.

You can contact us on : support@golem.ai

Terms and Conditions

Learn more about Golem.ai Terms and Conditions.

Categories

Supported Languages

English, French