沪公网安备 31010402010164 号网信算备 310115402810501240017 号网信算备 310115402810501240033 号沪公网安备 31010402010164 号网信算备 310115402810501240017 号网信算备 310115402810501240033 号European dairy leader eliminates compliance failures and accelerates product launches 77% faster using MuseDAM's AI-native digital asset management platform.
A leading European dairy conglomerate transformed its global digital asset management strategy using MuseDAM's AI-Native architecture, addressing complex multinational collaboration, multi-brand management, and dairy-specific compliance challenges. The implementation delivered remarkable results: 15X faster asset discovery, zero compliance violations, and 77% reduction in product launch cycles. This case study demonstrates how AI-native DAM solutions create a "efficiency-compliance win-win" framework for multinational food enterprises undergoing digital transformation.
As a leading European dairy and ice cream production group, this enterprise operates across Nordic, Eastern European, and Asian markets, managing multiple regional flagship brands with products spanning traditional dairy items to premium ice cream categories. Their products must strictly comply with EU and regional food regulatory standards, and due to cold chain storage and shelf-life characteristics, their material timeliness and compliance requirements far exceed those of ordinary industries.
Key Performance Indicators:
"We operate in 7 countries involving 12 different languages, facing enormous collaboration challenges daily. What's more troublesome is that once our Eastern European team mistakenly used an outdated nutritional information poster, resulting in local regulatory penalties—this wasn't accidental. Traditional file management methods have already cost us real money."— Group Digital Transformation Director
Specific Challenges:
The enterprise launches 100+ new products annually, managing massive materials where dairy-specific sensitive items account for over 60%:
Brand Matrix Complexity:
"Traditional DAM helps us store files but can't crack the food industry's 'detail code': it can't recognize the labeling differences between 'whole milk' and 'low-fat milk,' nor can it understand different countries' compliance definitions of the word 'natural.' MuseDAM's AI-Native architecture—from AI intelligently parsing every product attribute of materials to using natural language to precisely locate needed content—has completely reshaped our working model."
— Group Digital Transformation Director
Leveraging MuseDAM's AI intelligent parsing and smart tagging capabilities, after material upload, the system completes without manual intervention:
Real Dialogue Case: Marketing Manager: "I need a marketing plan for new probiotic yogurt in the UK market, emphasizing 'digestive aid' but without violations"
AskMuse Intelligent Output:
System built-in global food regulation database, through compliance detection function automatically screens:
"After MuseDAM went live, our compliance errors dropped from average 2-3 cases per month to 0, and a yogurt product's time-to-market in Germany compressed from 21 days to 7 days—in the dairy industry, this is almost an 'impossible breakthrough.' Especially natural language search, reducing material search time from 45 minutes to 3 minutes, the team finally doesn't waste time on 'finding files.'"
— European Creative Director
"As a multinational dairy group, we most value the balance between efficiency and security. MuseDAM's natural language search lets teams bid farewell to the pain of 'flipping through file folders'—marketing personnel say 'find Nordic-style organic yogurt posters,' AI instantly locates precisely; while fine-grained permission control ensures different regional teams only access materials they need. This 'open yet controlled' experience is something traditional tools can't achieve."
— Group CEO
"AI intelligent parsing completely liberated our human resources: uploading new product packaging images, the system can automatically identify 'children's milk' specifications, flavors, even target demographics, and generate standard labels connecting old materials. Material reuse rate increased from 35% to 85%. More surprisingly, the AskMuse function can generate marketing copy adapted to different markets in 3 minutes based on existing materials, letting us focus energy on creativity rather than repetitive work."
— Brand Innovation Director
The collaboration between this enterprise and MuseDAM first validated the unique value of "AI-Native DAM" in the dairy industry: it's not just a "material management tool," but also the enterprise's compliance risk control assistant (compliance detection + operation logs), cross-regional collaboration hub (permission control + natural language search), and product innovation accelerator (AskMuse + AI parsing). This model provides a replicable "efficiency-compliance win-win" solution for global food enterprises.
A: Through compliance detection functionality, the system currently deeply integrates China's advertising law-related rules, automatically screening sensitive expressions in food marketing during material upload (such as prohibited words like "best" and "treatment"). For multinational scenarios, it also supports manual upload of regional regulatory files as verification basis, assisting teams in avoiding compliance risks. Future expansion will gradually support more countries and regions' regulatory frameworks.
A: MuseDAM's secure sharing function supports customizable permissions: can set "view only," "allow download," or "prohibit forwarding," and add validity periods (7 days/30 days) and password protection to sharing links. Combined with intelligent watermarks (dynamically displaying visitor information), even if materials are downloaded, usage traces can be tracked, balancing multinational collaboration efficiency with asset security.
A: Beyond keyword search, MuseDAM's natural language search supports scenario descriptions, such as "find a strawberry ice cream summer poster," AI will precisely match based on materials' scenario tags and style attributes. Additionally, similar image search functionality can automatically find visually similar materials by uploading a reference image, significantly reducing screening time.
MuseDAM is the world's first AI-Native digital asset management platform, deeply cultivating vertical industries like food and FMCG. Through AI's deep understanding of industry characteristics (such as food compliance and FMCG timeliness), it provides enterprises with comprehensive intelligent solutions from material management to compliance risk control and cross-domain collaboration.
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