Data Layer

What is the purpose of a Data Layer?

The purpose of a Data Layer is to provide a structured and centralized system for storing and managing various types of data in industries such as eCommerce, logistics, shipping, DTC, B2B, and fulfillment. It acts as a foundation for collecting, organizing, and analyzing information such as customer data, product details, inventory levels, order history, and shipping status. By serving as a reliable source of data, the Data Layer supports decision-making and operational activities by making data accessible to different systems and applications.

What types of data can be stored in a Data Layer?

A Data Layer can store a wide range of data related to eCommerce, logistics, shipping, DTC, B2B, and fulfillment processes. This includes customer data such as names, contact details, and purchase history, product details such as descriptions, prices, and attributes, inventory levels to track stock availability, order history and status to monitor the progress of orders, as well as shipping information like tracking numbers and delivery updates. The Data Layer serves as a central repository for all these types of data, ensuring that they are organized and easily accessible for analysis and decision-making.

How does a Data Layer support operational activities?

A Data Layer supports operational activities by providing a reliable and centralized source of data for various systems and applications. It allows different processes such as eCommerce, logistics, shipping, DTC, B2B, and fulfillment to access and utilize data related to customer information, product details, inventory levels, order history, and shipping status. This enables efficient decision-making and streamlines operational activities by providing accurate and up-to-date information. For example, the Data Layer can be used to track inventory levels in real-time, optimize order fulfillment processes, and improve customer service by providing relevant and timely information to support operational activities.