By: Stephanie Dominguez | Product Specialist, Huski AI
How AI Trademark Search and AI Image Recognition and Could Have Prevented Amazon India’s $39M Trademark Violation
On February 27, 2025, the Delhi High Court fined Amazon India $39 million for selling products infringing the Beverly Hills Polo Club trademark.This landmark case underscores the challenge of protecting trademarks in a rapidly growing digital marketplace.
Image 1: Amazon India is set to pay $39 million in damages.
The Challenge: The Growing Threat of Image-Based Trademark Infringement
Image 2: Evidence from the Indian court’s order.
With millions of third-party sellers operating on platforms like Amazon, trademark enforcement is no longer just about monitoring text-based listings. Counterfeiters have evolved. They alter logos, tweak designs, or embed trademarks within product images to evade detection.
In this case, the Delhi High Court ruled that Amazon had listed and sold apparel featuring a logo that was “almost identical” to BHPC’s trademark, proving that visual trademark infringement is a rising battleground in intellectual property law. Traditional enforcement methods, such as keyword-based monitoring, fall short when counterfeiters use subtle yet deceptive design modifications.
The Solution: AI-Powered Trademark Search and Image Recognition for Smarter Trademark Enforcement
To combat evolving brand threats, Huski.ai’s AI-driven image recognition technology offers a powerful solution:
Detects Near-Identical Logos: Our whole-image AI analysis identifies logo similarities, even when infringers modify fonts, colors, proportions, or layouts.
Analyzes Text Within Images: Our text-in-image detection captures brand names embedded within product photos; a common trick counterfeiters use to evade keyword-based detection.
Zooms into Key Regions of an Image: Our system pinpoints potential trademark violations, even in small or concealed placements, such as logos printed on shirt sleeves, shoe tongues, or clothing tags.
AI analyzes images by converting them into numerical representations called “vectors,” much like how it processes words.
When two images look alike, their vectors are closer together, allowing AI to recognize similarities, even if the images have slight differences.
By training on millions of worldwide trademark designs, AI learns to detect patterns, making it highly effective at comparing logos and flagging potential trademark conflicts.
Let’s explore this with Beverly Hills Polo Club’s famous polo mark:
Our AI allows users to focus on a specific section of an image mark (Image 3) and refine results based on status, goods and services, classifications, and design search codes. The query then extrapolates both image analysis (Image 4) and image-to-text analysis (Image 5).
The results also enable exploration by key feature analysis, ensuring a comprehensive assessment of potential infringement.
Image 3: Manual section of AI image mark selection.
Image 4: Whole-image AI analysis results displaying marks similar to Beverly Hills Polo Club.
Image 5: Text-in-image AI detection results displaying word marks relating to Beverly Hills Polo Club.
The Impact: Proactive Protection & Lower Legal Costs with Trademark AI
By leveraging AI-powered trademark enforcement, businesses and law firms can:
Accelerate evidence gathering, allowing IP professionals to build stronger legal cases with AI-backed proof.
Automate enforcement actions such as Office Action responses, cease-and-desist notices, and infringement reports, saving brands time and resources.
Conclusion: The Future of AI in Trademark Protection
The Amazon India ruling is a wake-up call: visual trademark infringement is a growing threat, and traditional enforcement strategies are no longer enough. AI-powered image recognition is the next frontier in safeguarding brand identity and intellectual property at scale.
Explore how AI trademark search and AI trademark management can protect your trademarks before infringement costs you millions. Try it now here