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Motorsport Media Streamlining AI-Tagged Cloud DAM Workflow
Company Situation
The company operates within the motorsport content production industry, managing all photography and media for a major automotive motorsport program. Their team is relatively small but highly active, covering multiple racing series and producing a high volume of visual content daily. This content includes thousands of images from multiple photographers as well as international contributions, with a strong focus on motorsport vehicles and related subjects.
Existing Workflow
Currently, the company manages their extensive photographic assets using localized tools, primarily Adobe Lightroom stored on a single machine. They rely heavily on manual searching and direct requests to a single point of contact to locate specific imagery. Video content is produced and edited but is less frequently shared in raw form. There is no centralized digital asset management (DAM) system or automated tagging, making content access and retrieval cumbersome.
Issues with the Existing Workflow
Content is scattered across multiple drives and localized storage, lacking a central repository.
Manual searching for specific images (e.g., by car number, driver, or event) is time-consuming and inefficient.
There is no AI-powered tagging or metadata extraction, complicating asset discovery.
As the sole gatekeeper, the company becomes a bottleneck for internal stakeholders requesting assets.
Procurement and IT restrictions within the larger parent organization limit the adoption of new tools, prompting outsourcing.
The lack of a cloud-based solution limits remote access and collaborative workflows.
How Shade Would Change Their Workflow
Shade’s platform would serve as a centralized, cloud-accessible digital asset management system tailored for motorsport content. It offers AI-driven tagging capabilities that could identify cars, drivers, locations, and other key metadata automatically, enabling users to quickly search and retrieve assets without manual intervention. By providing a user-friendly portal, Shade would empower internal teams and external partners to self-serve their image needs, reducing dependency on the company as the sole asset manager. The platform’s flexibility circumvents internal IT restrictions, enabling faster deployment and easier budget management through a single billing arrangement.
Benefits
- Centralized repository for all photographic content accessible globally
- AI-powered tagging for efficient and accurate asset discovery (e.g., car numbers, driver faces)
- Reduced bottlenecks by enabling self-service access to imagery for multiple stakeholders
- Streamlined budgeting and procurement through a single external vendor model
- Enhanced collaboration and faster turnaround for content delivery
- Improved organization via hierarchical structuring by year, series, race, and teams