Google Image Search emerged as a transformative tool in user experience and convenience when it comes to online shopping. Its impact is particularly notable when combined with Selectika, which specialize in visual search and product discovery.
How Google Image Search works
Google Image Search uses a sophisticated system to analyze both metadata and visual content of online photos to match search queries. When a shopper types “knee length white tennis dress,” Google examines filenames, alt text, and descriptive information, and also employs Content-Based Image Retrieval (CBIR). CBIR analyzes visual features like color, texture, and shape, allowing Google to identify images that visually match the query, even if metadata is not perfectly aligned.
Google’s system combines CBIR with machine learning and image recognition to refine search results. This approach ensures that search results are both highly relevant and accurate by considering both descriptive attributes and visual content.
For instance, if someone searches for a “knee length white tennis dress,” CBIR helps Google analyze the visual characteristics of images to ensure they match the query. The search engine looks for images with similar visual features—such as the length, color, and style of the dress— in addition to the specific metadata tags used.
Benefits of Google Image Search and Selectika Together for E-Commerce Businesses
Selectika’s technology takes this process a step further, significantly enhancing product discovery for online stores. Its advanced AI auto-tagging technology assigns up to 20 descriptive tags to each clothing item, allowing for the efficient tagging of entire catalogs in record time. At the core of Selectika’s AI, the technology also leverages CBIR to accurately identify individual clothing items within an image based on visual content rather than relying solely on metadata. These automation systems combined not only improves the recommendation of similar or complementary items on a site but also optimizes how products appear in Google Image Search.
With Selectika’s technology, each clothing item is richly described with multiple attributes, such as “v-neck,” “sleeveless,” “knee length,” “white,” and “tennis style.” This comprehensive tagging ensures that these products are more likely to match specific search queries. For instance, if a shopper searches for a “knee length white tennis dress,” a product tagged with these precise descriptors by Selectika will have a higher chance of appearing prominently in the search results. This enhanced visibility can drive more traffic to a store and improve overall sales.
Driving Sales and Conversions Through CBIR
Once at the store, the same CBIR technology that enables “shop the look” and “shop similar” will lead the shopper further through your website, where Selectika’s clients have seen remarkable results, including a doubling of conversion rates and a 26% increase in average cart size. These metrics highlight the effectiveness of Selectika’s approach in creating a more personalized and satisfying shopping experience for consumers.