PII is personally identifiable data, and data minimization means passing into an AI scenario only what the answer and the measurement actually require.
How to use the term
What to read alongside
This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.
Glossary section
The risks that surface during internal review and the move to production: accuracy of answers, security and how customer data is handled.
What it is
PII is personally identifiable data, and data minimization means passing into an AI scenario only what the answer and the measurement actually require.
Example in ecommerce
For a shopping assistant that can mean separating behavioral signals from identifying data and controlling what reaches logs and external models.
Business impact
Helps clear internal reviews, lowers legal risk and simplifies rollout in enterprise eCommerce.
A fit for terms about search by meaning, the architecture behind the results and product discovery.
Shows how AI terms turn into a real decision flow inside the product page.
Collects the product scenarios in one place and is the starting point for a demo.
We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.