The first step in the integration process involves sharing your historical data. We use this data to better understand your product catalog, your customers' order and return behavior, and the overall fit of your items. In this article, we'll explain why we need this data, how you can share it, and how to maintain it.

We utilize millions of data points to accurately score your customers' purchases and flag as many returns as possible. This data is provided by our partners, which include online shops, fashion brands, and third-party services. We ensure that the data we collect does not contain any personal information about your customers and is fully anonymized.

This extensive data allows us to leverage the network effect in every market we operate in. Each new customer and data deposit improves predictions for all our partners. The more clients and data we have, the more value we provide to each client. That's why it's important to contribute your order history data at setup and continue daily.

If you are a newly launched brand or about to launch and don't have any historical data, don't worry. Thanks to the vast existing database from other similar brands, Easysize/Fit Quiz can still be enabled on your shop. We will be able to learn about your product's sizing and fitting through "Size Models" and fine-tune the recommendations.

We urge new clients, whether shops or third-party services, to send us at least 12 months of historical data before the launch. This initial data set allows our algorithms to build predictions for your customers and the brands sold at your shop, as well as understand the specific behaviors and order patterns of your customers.

As an added benefit, we use this initial data set to create a report on behavioral insights and market trends for you. For more information on the data format, see below.

We're happy to help you with data extraction and setting up automatic daily updates, please reach out to us. 

After launching our solution, we strongly recommend setting up regular data updates to be sent to us. These updates should include new orders, returns, and cancellations (deltas), typically daily.

The data format should follow your initial submission of historical data as closely as possible (more information below).

The easiest way to regularly update data is through scheduled automatic data extractions, which send us the data extract in a CSV format via email or FTP.

Whether you're sharing historical data or daily updates, please prepare the data file as follows:

We take the security and privacy of you, your customers, and your data very seriously.

To simplify data extraction and handling, data should be separated into transactions, catalogs, and users.

For your data to be easily processed into our system, please ensure it contains the following fields and that these fields conform to the specified requirements.

Find the required data format in the developer docs linked below.