Make Apps / Reka AI

Reka AI

AI

Connect Reka AI with thousands of the other apps, with this Make integration, so you can automate your work and have more time for what matters most — no code required.

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Next-generation Multimodal AI Models

Using Make.com alongside the Reka AI app for automation can unlock powerful, quick-win solutions for various business processes. Here are five easy-to-implement automations that take advantage of Reka AI’s next-generation multimodal capabilities:

1. Automated Customer Inquiry Categorization

Objective: Automatically categorize and route customer inquiries based on the nature of the inquiry.

  • Trigger: When a customer submits a request via email or web form.
  • Action: Reka AI analyzes the content to determine whether the inquiry is related to technical support, sales, or billing.
  • Outcome: The inquiry is automatically routed to the correct team.
  • Benefit: Streamlines customer service by reducing manual sorting and ensuring that inquiries are directed to the appropriate team promptly.

2. Content Summarization for Team Collaboration

Objective: Automatically summarize long documents or reports.

  • Trigger: When a new document is uploaded to Google Drive or sent via email.
  • Action: Reka AI processes the document and creates a concise summary.
  • Outcome: The summary is automatically shared with relevant team members via Slack or email.
  • Benefit: Team members can stay informed without reading lengthy reports, saving time and enhancing productivity.

3. Multimodal Sentiment Analysis of Customer Feedback

Objective: Analyze and classify customer feedback from emails, reviews, and social media.

  • Trigger: When new feedback is received.
  • Action: Reka AI detects and categorizes the sentiment (positive, negative, neutral) and highlights key themes.
  • Outcome: Feedback is visualized in a dashboard, allowing the team to monitor customer satisfaction in real time.
  • Benefit: Enables quicker responses to negative feedback and helps improve overall customer satisfaction.

4. Automated Image and Video Tagging for Marketing Assets

Objective: Automatically tag images and videos uploaded for marketing purposes.

  • Trigger: When a new image or video is added to a media library.
  • Action: Reka AI identifies key elements in the image or video (e.g., objects, scenes, or themes) and generates tags.
  • Outcome: The tags are saved in the database, improving searchability and organization.
  • Benefit: Saves time for marketing teams and enhances the discoverability of media assets for campaigns.

5. Enhanced Search Across Document Repositories

Objective: Improve search accuracy and context within text-heavy databases or document repositories.

  • Trigger: When a search query is entered.
  • Action: Reka AI processes the query to understand its intent and retrieve the most relevant documents based on semantic context.
  • Outcome: The most accurate and contextually relevant search results are returned, making data retrieval more efficient.
  • Benefit: Reduces the time spent searching through large data sets and enhances team productivity.

These automations can significantly reduce manual tasks and enhance productivity by harnessing Reka AI's multimodal capabilities to handle diverse inputs like text, images, and videos effortlessly.

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