Size Recommendation Solution

Download the Presize Size Recommendation Solution integration document here

Download integration document
Step 1

Automated Hyper Support

Our Hyper Support allows us to automatically scrape Sizing and Product data. We automatically scrape and extract necessary product information from your product detail pages - there is no need to provide us with detailed product data feeds. If the brand's sizing charts are available on the website they will also be scraped automatically. Importantly, we want to highlight that there is zero effort from your shop required to integrate with Presize.

Step 2

Optional: Provide internal product and sizing data

In addition to step one (or as an alternative to it) you can provide further data as outlined below. Note that this is completely optional.

Presize uses up to three types of data to produce a size recommendation: Product data, Sizing data, and Transactional data. While Product and Sizing data is a necessary prerequisite, Transactional data is optional and can improve the recommendations over time.

Data Type

Minimum integration data

Ideal integration data

Product data

List of available products

Excel files, JSON files, CSV files that contain ID, Name, URL, Gender, Category and the available Sizes for each product. If your shop uses sizing data for different fits, please also include the Fit.

Daily updated feed as CSV/JSON via URL

CSV: Provide a feed as CSV via URL that contains the product’s ID, Name, Gender, Category, Brand, Collection, Price, Fit, URL, Image, Sizes, Measurements, Material and Stretch. Again, if using per-sizing. JSON: Export the products as a list of JSON files with the ID, Name, Gender, Category, Brand, Collection, Price, Fit, URL, Image, Sizes, Measurements, Material and Stretch.

Sizing data

Sizing charts in any form

Excel files, JSON files, CSV files that contain ID, Name, URL, Gender, Category and the available Sizes for each product. If your shop uses sizing data for different fits, please also include the Fit.

We like to take machine readable data (Excel files, JSON files, CSV files) over images, but for a limited number of charts even images are okay.

Sizing charts as CSV containing all available sizing data

Provide us the sizing charts as CSV files in the following format, named after either the product, brand or category of the associated products.

Transactional data

Exports of order and return data

We encourage you to provide transactional data that we can use to improve the recommendations over time. Any machine-readable file that contains the information about Order, Product, Size and Status is sufficient.

Daily updated transaction data feed as CSV/JSON via URL

Provide a transaction data feed as CSV via URL containing the Date, Order, Product, Size, Status, Reason, and Comment fields and notify us or agree upon intervals in which the feed is updated on your end.

For in-depth information about our data integration requirements, please download and view our integration document

Step 3

Simple Integration

We are able to effectively integrate on every website and are independent from your individual shop system. We offer a Direct Integration and a integration through the Google Tag Manager (GTM). These two options have different advantages.

GTM: We can test independently in preview mode which results in less back and forth between stakeholders

Direct Integration: Best possible loading time for Presize, as there is no delay due to GTM and Presize is not blocked by adblockers or content filters

Step 4

Integration on staging environment

After the integration passed our internal QA tests, you can also test everything before it is moved to production.

Step 5

Go Live!

Congratulations! From now on, you will have more conversions, fewer returns, and higher customer satisfaction.

Download the Presize Size Recommendation Solution integration document here

Download integration document
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