Visual search technology is revolutionizing the retail experience by allowing consumers to identify and purchase products using images rather than text, thus eliminating the need to know specific product names or categories. By leveraging advances in image processing and machine learning, visual search presents users with relevant search results based on photographs taken with their mobile devices, enhancing the shopping process by seamlessly integrating online and offline experiences. This method not only simplifies the shopping journey by reducing the time spent sifting through unrelated results but also supports the growing consumer expectation of a multichannel shopping experience. As demonstrated by initiatives like Kroger's Chefbot, which uses visual search to suggest recipes based on photos of available ingredients, such technology can also promote sustainability by reducing food waste. As businesses adapt to increased digitalization accelerated by COVID-19, visual search is poised to become a critical tool for improving customer engagement, conversion rates, and order values, offering a competitive edge to brands that optimize for this technology.