4 Powerful Use Cases for AI-Driven Tagging

Sharedien: Your content operations system

Generative AI is reshaping content production. Companies can now scale volumes dramatically but must maintain quality, consistency, and control. With more channels, personalized messages, and rising demand for diverse content, the need for images, videos, graphics, and documents is accelerating.

We empower brands worldwide to tell consistent, compelling stories by transforming the way they create, manage, and deliver digital content – seamlessly, intelligently, and at scale.

Sharedien is the cloud-native Digital Asset & Content Management solution with a finger on the pulse of the times. As a central content hub, Sharedien is designed to handle large volumes of data and performance peaks.

With its scalability and integration capability, Sharedien masters every challenge and offers users everything they need to create, maintain, manage, and distribute digital content – from automated image editing and AI-supported search to innovative workspaces for efficient creative projects. The workspaces also cover approval processes and collaboration with large internal and external teams. Thanks to its modern tech stack, Sharedien integrates seamlessly into any digital ecosystem – for optimal data processes from import to the wow effect in the store.

• 2011 foundation
• 90+ countries
• 100,000+ users
• 50M+ organized assets
• Offices in Bielefeld (Germany) and Zurich (headquarters, Switzerland)

AI Tagging Agent

More quality – Less effort – Full control

Sharedien’s new AI Tagging Agent revolutionizes the way organizations enrich their digital assets. It automatically analyzes images at scale and proposes metadata for key properties – from ALT texts and product details to legal-relevant information and person recognition.

Whether you’re uploading a handful of assets or handling thousands at once, the agent suggests smart, context-aware tags that can be reviewed, confirmed, or customized based on your specific brand and organizational rules.

And even better: The agent learns from your input. You can train it to follow company-specific definitions – for example, how your organization defines a “brand”, how product attributes are structured, or how to handle pack shots. Over time, it becomes smarter and more aligned with your internal standards.

Key Advantages

• Massive time savings through automated bulk tagging
• Smart suggestions based on your brand, product types, and context
• Company-specific tagging logic through continuous training
• Improved data quality with fewer gaps and errors
• Legal compliance support, e.g., person recognition, ALT text, pack shot details
• Continuous learning from user feedback and context rules
• Flexible integration with best-in-class AI services

Who Will Benefit Most?

This feature is especially useful for:

• Marketing & eCommerce teams managing large-scale campaigns
• Master Data Management departments looking to improve metadata consistency
• Legal & compliance teams ensuring risk-free asset usage
• Content teams in regulated industries (e.g., food, pharma, manufacturing)

Use Case 1: AI-Powered ALT Text for Accessibility Compliance

Extract product information from images for legal compliance

Challenge

With the European Accessibility Act (EAA) coming into force, many companies need to ensure that every image on their websites includes meaningful, descriptive ALT text. But manually writing text alternatives for tens of thousands of assets is unrealistic and would overburden content teams.

How the Feature Helps

Sharedien’s Automated Tagging Agent enables companies to generate human-like ALT text descriptions for all web assets automatically.

The AI analyzes each image, understands its context, and creates natural-language ALT tags at scale, ensuring accessibility without manual effort.

Business Impact

• Assets enriched with descriptive ALT texts automatically
• Very limited manual effort from internal teams
• Legal compliance with the European Accessibility Act and Web Content Accessibility Guidelines

Result: Meet Legal Requirements

This use case proves that automation with AI isn’t just about saving time – it’s about turning compliance into a competitive advantage and future-proofing digital experiences.

“Accessibility is no longer a bottleneck. With AI, it’s built into our content workflow from day one.”

Content Specialist at a manufacturer

Use Case 2: Automated Tagging at Scale – Save Time, Improve Quality

Mass upload with minimal manual effort

Challenge

Manually tagging large volumes of images is slow, repetitive, and error-prone. Teams often spend hours on bulk uploads, leading to inconsistent metadata and rising costs.

How the Feature Helps

The Automated Tagging Agent analyzes and tags hundreds of images in seconds – ensuring metadata is accurate and consistent, without human bottlenecks.

• Bulk tagging during asset import
• High-quality tags powered by leveraging AI
• Standardized taxonomy enforcement
• Fewer human errors thanks to AI agent

Business Impact

• Massive time savings on high-volume uploads
• Higher metadata quality improves asset search & reuse
• Lower operational costs in content production workflows

Time & Cost Savings Example

Without automation, tagging one image takes around three minutes. Imagine about 100,000 images/year, this equals:

300,000 minutes, or 5,000 hours annually

With Sharedien’s agent, this drops to minutes instead of months, freeing up teams and budgets.

“We used to need weeks to tag a product shoot. Now it’s done before lunch.”

Digital asset product owner at a manufacturer

Use Case 3: Smart License Management with AI-Driven Tagging

Automated management of digital rights for images

Challenge

Managing digital rights for images is time-consuming and error-prone. Especially in large enterprises, it’s hard to track which images include employees, models, or other identifiable individuals – and whether proper usage rights exist.

How the Feature Helps

With Sharedien’s Automated Tagging Agent, every uploaded image is automatically analyzed. The system:

• detects people in the image using AI-based facial recognition.
• connects metadata to existing digital rights or license agreements.
• flags images that lack the necessary usage permissions.

Business Impact

• Avoid compliance risks by ensuring only approved assets are used
• Reduce manual work for content and legal teams
• Speed up publishing by surfacing rights-cleared assets automatically

Result: Legal Compliance

This shows how AI can actively reduce legal exposure and brand risk – not just support productivity. Compliance becomes a competitive edge, built into every asset the moment it enters the system.

“Finally, our teams know at a glance if we can use an image or not. No more hunting down model releases.”

Marketing manager at a retail company

Use Case 4: From Pack Shot to Webshop Compliance

Automatically extract legally required information from your images

Challenge

E-commerce and retail teams often need to manually extract and enter data from product images – such as GLNs, ingredients, or warnings – to meet legal obligations in online shops. This process is not only labor-intensive but prone to human error.

How the Feature Helps

The Automated Tagging Agent can intelligently analyze product pack shots and extract relevant information directly from the image:

• Identify and tag key data like Global Location Numbers (GLN), ingredients, and nutritional info
• Provide structured metadata for product listings
• Ensure regulatory compliance for online product presentations
• Reduce manual copy-paste work

Business Impact

• Meet legal demands across markets and channels with minimal human effort
• Minimize human input errors
• Apply the process to products automatically
• Automate content generation for e-commerce platforms to enable a faster go-to-market

Result: Faster Listings, Lower Risk

Legal product data is now extracted directly from pack shots – no manual effort required. This accelerates time-to-market, reduces compliance risk, and cuts content production costs across all webshop channels.

“This isn’t just image tagging – it’s automated product data entry for every channel we sell through.”

Store manager at an e-commerce store