Cleanse product data and prepare for eCommerce with Vesta’s automated data transformation, data validation and product classification tools.
With Vesta, greatly increase your data quality, turning it into a valuable asset for your business.
With Vesta, greatly increase your data quality, turning it into a valuable asset for your business.
Merchants face the challenge of receiving vendor product data in divergent states. These differences can be both in format (such as excel, CSV, XML) but also with different names or measures. For instance weights in kg or pounds or ounces, and different names for the same thing such as sku, product or item.
Re-working all of this data into a consistent format, ready to feed into a PIM or eCommerce platform, takes many many hours filled with frustration for a merchant to perform manually and is fraught with the potential for inaccuracies
Vesta provides the solution, saving hours of frustration, by automating the process of transforming vendor data into an optimized state, ready to feed into your eCommerce store.
The different data fields are mapped and then merged to combine them into a centralized single source of truth for your product data.
Vesta’s transformation engine will translate the data received from a vendor, into the standardized and optimal format for your online store.
Vesta can also automate the classification of products into families, categories and brands for optimized on-site navigation and search.
Vesta’s Validation Engine identifies errors such as incorrect formats, missing fields or duplicates.
These errors are highlighted, ready for easy correction within the Vesta Portal.
Book a no obligation chat with one of our friendly experts.
After understanding your product data challenges, we can take you through a demo
of how Vesta works and talk more about how to get started.
Book a no obligation chat with one of our friendly experts.
After understanding your product data challenges, we can take you through a demo
of how Vesta works and talk more about how to get started.