The rise of eCommerce has revolutionized the way businesses operate, and the need for advanced customer service is more important than ever. Adobe Commerce is a powerful platform that provides an open and standardized way to integrate with a variety of third-party applications. Using Adobe Commerce GraphQL, companies can quickly and easily access data and create personalized experiences for their customers. This can help them improve their customer experience, increase online sales, and optimize their overall digital store operations.

Adobe Commerce GraphQL is a query language developed by Adobe that enables developers and marketers to pull data from all their connected applications and services. This means that merchants can easily pull customer data from Sage, SAP, Oracle, and many other third-party services and applications.

With Adobe Commerce GraphQL, businesses have more control over their data and can easily make quick updates to any part of their digital store. Additionally, Adobe Commerce GraphQL provides a unified interface for managing product data across systems. You can use it to manage product data such as inventory, shipping, tax and pricing information, as well as attractive promotional offers.

On top of that, companies can use GraphQL for product recommendations and searching for keywords and product categories. This helps them personalize their product offerings and retain customers in their online store. Adobe Commerce GraphQL also makes it easier for businesses to track customer data. GraphQL enables companies to store and retrieve customer profiles so they can better understand their current and potential customers and better anticipate their needs.

Overall, using Adobe Commerce GraphQL is a great way to improve your eCommerce store and get the most out of your customers. By gaining more control over their data, companies can create more personalized experiences and better understand their customers. Additionally, they can more easily manage product data, track customer data, and make better product recommendations.