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IP addressesAnonymous visitor/session IDsBody measurements entered by the user (stored anonymously, used only for sizing)Product interaction data (which products were viewed, which size was recommended)No names or emailsNo tracking across domainsNo data shared with third partiesSAIZ cookie specification sheet (for your CMP setup)Data privacy documentation (available in English and German)SAIZ Privacy Policy template for your shop's privacy page
SAIZ Integration Guide
Overview
SAIZ connects to your existing product systems, ingests garment-level measurement data, and delivers sizing intelligence directly in your online shop - reducing size-related returns.
Integration has three pillars, each independent and handled in parallel:
3 Integration steps - go through the detailed pages for an in-depth overview
Pillar
What
Effort
Owner
see details here
E-Commerce Feeds
Active products + order/return data
One-time setup + ongoing sync (automated)
Your IT / e-commerce team
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Key principle: One frontend integration powers all SAIZ extensions - Recommender, Fit Nudge, and Size Chart. The same code works on any page: PDP, gallery, or checkout. You integrate once; we configure which extensions appear where.
Some useful Info
Data Privacy
SAIZ is designed for full GDPR compliance.
How cookie consent works: The SAIZ JavaScript loads regardless of cookie consent. This is required for extensions like Fit Nudge and Size Chart, which display static sizing information and do not require cookies.
The Size Recommender requires cookie consent because it processes user input. SAIZ handles this logic internally - the recommender only activates when the user has accepted SAIZ cookies. Your team needs to register SAIZ (as well as Google Analytics) as a cookie in your consent management platform (e.g. Cookiebot, OneTrust, Usercentrics). We provide the cookie specification during onboarding.
Overview tools triggered & cookies
Extension
Requires cookie consent?
Fit Nudge
No - displays without cookies
Size Chart
No - displays without cookies
Size Recommender
Yes - only with accepted SAIZ cookie
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What data is processed:
What data is NOT collected:
Documentation provided during onboarding:
SAIZ can be listed as a sub-processor in your data processing agreements. We provide a DPA template on request.
Data Sync Schedule (Post Go-Live)
Data source
Format
Sync cadence
What
PLM data (measurements)
Files on SFTP
1st & 15th of each month
All active products
Active product feed
URL feed (auto-updated)
Daily 6am
Real-time product catalog
Order/return data
URL feed or SFTP
Daily 6am
Rolling data on past 3 months order/returns
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Timeline
A typical integration takes 2–10 weeks from kickoff to go-live. It depends on how fast tickets are worked on. We can help you estimate actual work hours needed if you like.
Overview
Week
Milestone
1
Kickoff call, SFTP credentials shared, PLM data export started
1–4
First PLM data delivered, active product feed connected
2–6
Frontend integration (dev), UX/UI alignment
3–10
Staging QA, cookie consent verified, go-live
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Questions?
Your SAIZ project team is available at any step. We're happy to join a discovery call with your IT team to clarify data formats, discuss your PLM setup, or walk through the frontend integration live.
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