Categories have become an almost inherent part of our life. How else will one navigate the colossal supermarkets with no signage to direct you to the kitchen appliances? Or how else will your indecisive self decide which cuisine to order in for dinner without food delivery apps breaking down the different options available?
However, categorization can become a real pain when one has to do it on one’s own at a large scale. Companies dealing with big data are often met with this problem, especially with frequent launches of new products in different categories. How does one ensure that the system is updated, while also ensuring time is saved, and not too many people are occupied trying to achieve this one task? Seems almost impossible…
One look at a misclassified product catalog will tell you that it is impossible for you to retain customers with all these products in the wrong places. If one cannot find ‘Hose Pipe’ under ‘Garden Supplies’ because it is under ‘Miscellaneous’ on a home improvement website, one gets frustrated and instantly shifts to a site that is better organized. On the backend, the situation is even more grim–a product in the wrong category cannot be enriched, because the process depends on the attribution intelligence derived from the parent category.
Therefore, the importance of classification of products into relevant categories cannot be dismissed, especially for companies dependent on selling products on ecommerce websites.
We make this process automated for our clients, which not only saves time, but also immense manual labour. Moreover, this automation also allows for a more thorough and accurate categorization of products, while also ensuring that new products are automatically sorted into their respective categories.
Our model also incorporates a human in the loop, in case the categorization needs to be manually refined in any way. It then self-trains, and records such details for future reference.
Transform your catalog today!