Counterfeiting isn’t a new problem. In fact, the companies selling fake goods have been around for about as long as the real ones. Counterfeiters’ ability to adapt to changing consumer behavior and ever-evolving anti-counterfeiting measures has seen them grow tremendously over the years. The International Chamber of Commerce estimates that the global economic value of counterfeiting and piracy could reach $4.2 trillion by 2022 and put 5.4 million legitimate jobs at risk over that time period.
Never before have brands been under so much pressure to protect themselves. The growing demand in light of COVID-19 has increased an impressive 146% year-over-year growth in all U.S. & Canadian online retail orders. Consumers are rapidly adapting themselves to digitalisation, purchasing most things online. This rise in ecommerce demand has been coupled with the rise of cybercrime. Counterfeiters flood into all kinds of online existence as it's hard for consumers to tell whether they are buying a fake product or not. This potent combination of a rise in global demand and faster but less accountable distribution platforms has resulted in brands seeing 41% rise in cybercrime during Covid-19.
People have been making counterfeit goods for hundreds of years, and that’s no different today. Anti-counterfeiting investigations evolve but the problem is still the same: how to stop counterfeit operations quickly and effectively.
Whether it’s blockchain taking over how counterfeiters operate or infiltrating social media and influencing how “reps” are accepted in youth culture, the online fakes landscape has shifted.
This article outlines the benefits that brands can obtain by finding out the real infringers behind online sellers with Clustering Technology.
Amazon recently released its newest product, named Project Zero. This article outlines this new initiative and what it means for brands selling on Amazon.
Red Points compares the drawbacks of using a manual process against an automated process and explains the process required to protect a brand legally and comprehensively.
In this final part of the series, we will be focusing on machine-learning elements of brand protection. This article will cover how machine learning is essential to maintaining an updated and effective IP protection solution.
This article provides a quick checklist of features and capabilities that any good case management system supporting a brand protection service should contain.
The task of finding infringements across multiple channels requires a combination of tools, one of which should be image recognition technology. This is an important tool for finding fake items and copyrighted images online.