Automate Product Catalog Ingestion
Intro
In my previous blog, I touched upon the intricacies of product catalog ingestion, shedding light on its pivotal role in the experience of the digital marketplace. As sellers and retailers continue to bring their products online, they are increasingly keen on maximizing their product visibility. The ability to increase distribution by displaying their products across a multitude of marketplaces such as Amazon, Shopify, eBay, and more is essential. During this digital expansion by seller and retailers, marketplaces face a significant challenge: the diversion of crucial business resources. Instead of focusing time and effort on essential aspects of your business, valuable resources are expended to manually transform your client’s data to fit the unique data model for your marketplaces. An even worse alternative is forcing your clients to allocate their resources to painstakingly format their product data into your CSV template or other structured formats. A task that is both laborious and error-prone. Lume’s AI mapping technology enables e-commerce marketplace operators to handling all of this variance with ease.
How it works
Lume revolutionizes this landscape with its AI-driven data mapping platform, adept at converting client data into the specific formats required by diverse e-commerce marketplace data models. Lume adeptly processes your disparate client data and maps them to the appropriate attributes, categories, and values which ensure consistency and accuracy for the data transformation step. These mappings are not simply one-to-one key mappings, but also the ability to combine and separate values from properties, aggregate over fields, classify values to a fixed set that is specified by the marketplace, and more. With the automation provided by Lume, the operational costs and manual data management are substantially minimized, which enables the reallocation of resources to more critical business functions. With Lume, marketplace operators can effortlessly connect their systems and ensure their product listings are efficiently updated and managed.
API Workflow
First, a user creates a pipeline with your marketplace data model. This step enables you to customize how you want your attributes, categories, and values set. For example, in the “shirt” category you can specify the only accepted values for size is “S, M, L, or XL”. All incoming data would have the size values classified and mapped to the given constraints. Finally, the user uploads their data which runs a job that follows the specifications from the pipeline given. It is truly that simple to automate your product catalog ingestion for your marketplace.
Future Proofing E-commerce
While Lume streamlines the process today with your current set of marketplaces, the true advantage is future proofing your e-commerce data integration needs. Lume offers businesses scalability and flexibility. The Lume platform is designed to scale for any business ensuring that large product catalog collections and the complexities of your data are managed efficiently. In addition, Lume handles changing taxonomies over time which reduces maintenance cost and time as well as easily accommodates new marketplace requirements. Therefore, Lume is a resilient and evolving solution in the face of ever changing e-commerce landscape.
