How to Use AI as Tools for Detecting Counterfeit Products
Counterfeit products are more prevalent than you would possibly think. From common medicines to designer handbags, almost every category of popular products and top brands become targets of counterfeiting. the great news is we now have effective weapons to detect them easily. And AI provides the raw materials for those weapons. With rapid progress in AI software development, the fight against counterfeits is more powerful than ever. during this post, we’ll discuss how AI helps businesses and consumers to detect fake products in several ways.
As fake products become universal across categories, we’d like prompt and accurate ways of detecting them. Online retail titans like Amazon and Alibaba launched major initiatives to prevent potential listings of counterfeits on their websites. This global battle has also prompted startups focused on fighting counterfeits. as an example , Entrupy, a replacement York-based AI startup builds AI-enabled cameras to detect counterfeit products.
AI-powered image analytics
Image analytics equipped with AI makes it easier to verify authentic products. as an example , DataWave, a Washington-based company, uses deep machine learning to eliminate counterfeits from eCommerce websites. Such solutions are incredibly crucial whether you run an eCommerce development company or a web mercantile establishment . DataWave’s solution is trained on many catalog images of products across categories.
The counterfeit-detecting solution relies on an algorithm to match images. the answer also uses text information to reinforce is that the detection process. consistent with DataWave, the answer has substantially improved the potential of counterfeit detection.
The combined power of AI & blockchain
A counterfeit designer handbag could cause loss of cash to the customer while significantly damaging the reputation of a web retailer. Whereas a counterfeit drug could put consumers’ lives in danger . That’s why detecting fake products is so important. Technology companies and retailers round the world are now combining AI with blockchain to build up counterfeit detection. Blockchain has already made significant inroads as tools for business communication.
Artificial intelligence software development leader IBM has blended blockchain with AI and imaging to verify authentic products. The company’s Crypto Anchor Verifier leverages ML, neural networks, and video analytics to detect counterfeits. the answer analyzes the properties of products to spot whether it’s authentic or fake. The AI-powered software relies on a staggering amount of knowledge collected from genuine products. the answer also can run on smartphones, making it easy-to-use and cost-effective.
We have known the role of blockchain in eCommerce for a short time now. When it involves detecting fake products, ledger technology acts as a flawless tracking device. Manufacturers use blockchain solutions to trace the movement of their products, beginning from the plant to warehouses and retail stores. That way checking out fake products becomes easier.
Blending AI software with hardware
Tech startups also are using the concerted power of sensors and AI software to make effective ways of hunting counterfeits. The AI startup Neurotags, for instance, built AI-enabled hardware that permits customers to verify a product’s authenticity. It uses a hidden append products that customers use to urge information about the product’s authenticity.
The solution helps customers to spot a real product. It also eliminates the potential listing of counterfeit products on an eCommerce website. the continual advancement in technologies like IoT, ML, and blockchain can further enhance counterfeit detection capabilities. Businesses and customers are likely to equally enjoy more widespread use of such solutions.
Verifying authentic customer reviews
Customer reviews are effective ways of knowing the standard and authenticity of products sold in online stores. Since fake reviews are universal, identifying authentic reviews is critical for patrons and retailers alike. This method works both ways. While it verifies authentic reviews, AI-based capabilities also can flag suspicious customer reviews. Retailers can promptly eliminate such reviews and products from their stores. Amazon and Alibaba are already using AI-enabled tools to authenticate customer reviews.
Counterfeit detection in eCommerce
As noted earlier, eCommerce giants are taking innovative measures to avoid inadvertent sales of counterfeits. However, many small and medium eCommerce operators are increasingly becoming vulnerable ton counterfeits. High-end detection technologies won’t be always feasible for such retailers. they have retail solutions that are designed to stop counterfeit products.
Smaller eCommerce operators got to seek expert advice about the way to tackle the difficulty of counterfeits. as an example ,as an eCommerce development company, we offer AI consultancy and solutions to small and medium businesses. We use the foremost advanced breed of AI, ML and blockchain to create efficient tools to detect counterfeit products.
The Conclusion
As the world battles with the coronavirus pandemic, products like fake N95 masks became superfluous. Both online and brick-and-mortar businesses got to make sure the authenticity of their products. they have to make sure the integrity of their supply chain to take care of business reputation and reliability. we’ve committed to helping businesses of all types and sizes maintain their reputation and profitability. With a huge experience in eCommerce and AI solutions development, we all know what solutions suits your business.
