{"id":7424,"date":"2023-06-27T14:00:00","date_gmt":"2023-06-27T08:30:00","guid":{"rendered":"https:\/\/www.vue.ai\/blog\/?p=7424"},"modified":"2024-01-10T19:49:44","modified_gmt":"2024-01-10T14:19:44","slug":"product-data-management","status":"publish","type":"post","link":"https:\/\/www.vue.ai\/blog\/ai-in-retail\/product-data-management\/","title":{"rendered":"Creating and Enhancing E-Commerce Product Data Management with A.I."},"content":{"rendered":"Reading Time: <\/span> 3<\/span> minutes<\/span><\/span>

It\u2019s 2020, fashion brands are growing, functions are becoming more complex by the day and most retail teams are looking for efffient ways of creating and enhancing their product data<\/strong>. Excel spreadsheet formulas are easy tools to create basic data handling processes with several complex concepts like VLOOKUP<\/a> or pivot tables. But is Excel the only option for product data handling? Or is there a better, faster, more efficient way?
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There’s a clear trend among fashion brands of switching to Excel alternatives to  their Product Data Management<\/strong> after losing money and time due to continued errors.  <\/span>For <\/span>a multi-channel seller, managing product information requires information changes and updates in multiple places and channels. Retailers must format product data with extra information in order to make it customer-ready<\/strong>.  <\/span><\/p>\n

For retailers using Excel, there is a folder filled with numerous sheets that, taken together, have the brand’s entire product catalog information. Elsewhere, there is another folder containing unclassified images that have been left on the back burner for the next available retail team to sort through and tag. <\/span>For tech-savvy businesses, despite having completely digitized catalogs, chances are that they still are in need of a small army to sort through, cleanse, and standardize product data.<\/strong><\/span><\/p>\n\n\n

\"Product<\/figure>\n\n\n\n

Why retailers need to Product Data Management efficiently<\/h2>\n\n\n\n

Standardized product data is indispensable<\/strong> to retail businesses. From optimizing assortment, to on-site search, to SEO friendly product pages, the quality of product information molds the journey for a shopper to discover products they like on the site. Unclassified products never find their way to the store\u2019s front end, rendering them undiscoverable. Even the ones that do make it would have gone through hours and hours of manual attribution, and might still have subpar product metadata. Shoppers often drop off since they are unable to locate their preferred products, which results in increased bounce rates and lost opportunities- leaving retailers with significant untapped revenue.<\/p>\n\n\n\n

Why Excel is not efficient in handling product data<\/strong><\/h2>\n\n\n\n

Excel spreadsheets can be used, but are they the best option for handling product data? Here’s when Excel is beneficial for a brand<\/strong>:<\/p>\n\n\n\n