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SAIZ techn. Documentation (Integration overview) - 2026
SAIZ Integration Guide
1. PLM Data (Product Measurements)
2. E-Commerce Feeds
3. Shopfront Integration
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1. PLM Data (Product Measurements)

SAIZ requires graded measurement tables - the per-article, per-size garment dimensions your product team already uses. These are typically stored in your PLM/PIM system (e.g. Centric, WFX, Koppermann, FlexPLM).
What data SAIZ needs
Field
Description
Required
Product ID
Must match the ID used in your online shop
Yes
Product Name
Product name
Optional
Status
Active/inactive flag
Optional
Size
Size label (S, M, L or 36, 38, 40, etc.)
Yes
Dimensions
Measurement name
Yes
Measurement values
Value per size (e.g. chest width: 48.0 cm in M)
Yes
There are no rows in this table
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Example: A graded measurement table for a pant would include waist width, hip width, inseam length, etc. - each with a value per size.

Data format

We accept CSV, Excel, or JSON, we can also provide an API. Your existing PLM export format usually works without modification. The format is agnostic. SAIZ can read any format/ content configuration you have on your product data.
Json Example
Excel Eample
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image.png
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How to deliver

You have two options for transferring product data:
Option A - Automated integration (recommended) Your IT team builds an integration to your PLM/PIM system that automatically pushes product data files to a dedicated SAIZ SFTP server. You receive SSH key credentials during onboarding.
Option B - Manual upload Your product team manually uploads files to the SFTP server. Recommended cadence: at least 1–2x per month, and always before new product go-lives.
We also support API-based ingestion if SFTP doesn't fit your setup. Contact
data@saiz.io
⁠
to discuss.
Important: Product IDs in the PLM data must match the IDs used in your online shop. Mismatched IDs are the #1 cause of integration issues.
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Algo config: Fit models

Please also share your fit model data for each brand, subcategory that your product team uses.
This is a one-time information sharing. Example data: this can be a pdf, excel sheet.
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