![]() When ecommerce product enrichment is done correctly, the product data will drive improved site search, filters, recommendations, and the all-important forecasting demand. Here are just a few ways product enrichment improves the customer experience:Įcommerce Product Enrichment Improves Demand Forecasting and Will Boost Sales It can also automate the entire process of generating tags, titles, and product details, creating SEO-friendly pages without manual data entry.Įcommerce product enrichment makes product attribution far more accurate and detailed, which improves discoverability and the shopping experience for the customer. AI can identify and extract the most relevant features of the product and then assign them as tags, making it easier for consumers to find the products they are looking for and helping businesses to better organize their product catalog. However, modern ecommerce companies use AI algorithms to automatically tag product information with relevant metadata and product attributes such as color, size, style, brand, material, and category. Product enrichment is usually done manually, which leads to the errors and missteps we’ve already discussed. ![]() Ecommerce product enrichment involves adding more details to product descriptions, such as product images, videos, reviews, and specifications to improve discoverability. Product enrichment is the process of enhancing product information to make it more informative, appealing, and useful to potential buyers. Solving Discovery Problems with Ecommerce Product Enrichment If the product information isn’t optimized with relevant SEO keywords, the discoverability of the entire website is impacted. Bounce rates increase, and sales are lost. ![]() If a shopper is looking for a burgundy sundress with bell sleeves and the site can only deliver results for red long-sleeved dresses, they won’t find the item they are looking for. In some instances, the text metadata of the products that have been uploaded simply isn’t rich enough to facilitate the search queries that customers are using. Human fatigue inevitably sets in, spelling errors and misclassification starts to slip in, and people cut corners and leave out important information that could have helped you find that elusive item you’re desperate to buy.Īs a result, shoppers arrive at a specific category and don’t see all the products available from the store. Many stores have entire teams whose sole job is manually sorting, cleaning, and standardizing product information for the thousands of images they need to upload. In fact, the bigger the store is and the more inventory they have, the harder it becomes for the store to catalog and tag products, which makes it harder to find what you are looking for. ![]() In many instances, inventory isn’t the problem – cataloging is. ![]()
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