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Consumer Health Services Company Consolidating Google Drive and Shade (DAM with AI tagging

Company Situation

The company operates a supplement company specializing in performance and fitness products such as pre-workout and creatine supplements. Their team includes a large roster of around 200 athletes who serve as brand ambassadors. The company’s primary marketing channel is social media, utilizing platforms like Instagram, TikTok, and YouTube to promote their products and engage with their audience. The marketing and content team includes editors and athletes who collaborate to create and distribute media assets.

Existing Workflow

Currently, the company uses Google Drive as their primary content management system. Each athlete has their own folder, and content is organized by athlete rather than by type or category. The team shares and stores videos, images, and other media files on this platform, with around 50 athletes actively using the drive to upload and access content.

Issues with the Existing Workflow

The company faces significant challenges with organization and usability using Google Drive. With so many users and folders, the system becomes cluttered and disorganized, making it difficult for editors and athletes to locate recent or specific content efficiently. Attempts to restructure the folders have repeatedly failed due to the volume and diverse use cases, resulting in content duplication and inefficiencies. The lack of advanced media tagging and search capabilities limits their ability to streamline content filtering and retrieval, which is critical as they prepare for an upcoming rebrand.

How Shade Would Change Their Workflow

Shade offers a cloud-based media management solution that enhances the traditional folder structure with powerful metadata, tagging, and AI-driven search capabilities. Instead of relying solely on folders organized by athlete, the company can tag content by type, activity, athlete identity (using facial recognition), and other custom metadata fields. Shade’s AI automatically generates metadata such as jersey numbers and activity types based on user prompts. This system allows editors and athletes to quickly filter and locate specific content like “players in a huddle” or “bench press footage,” significantly improving workflow efficiency. Additionally, Shade supports in-app video playback, commenting, annotation, and review workflows, enabling seamless collaboration within the team.

Benefits

  • Enhanced content organization through customizable tags and metadata
  • AI-powered automatic tagging and facial recognition to reduce manual labor
  • Improved search capabilities across videos, images, transcripts, and metadata
  • Streamlined collaboration with in-app comments, annotations, and approval workflows
  • Reduced content duplication and easier management with a unified media library
  • Scalable solution suited for large teams with multiple contributors and complex media needs
  • Supports rebranding efforts by enabling better control and visibility of media assets