Privacy AI terms, made easy to understand

AI that extracts only behavioral patterns, without faces or personal data

AI that learns normal patterns to automatically flag abnormal situations

The foundational technology that lets AI understand and analyze camera footage

An umbrella term for AI that automates and optimizes retail operations

A solution that turns security CCTV into a tool for collecting store operations data

An execution AI that turns analytics results into on-site action

Stitching multiple camera views together to read the whole store as one space

Analyzing video right on on-site hardware, without sending footage outside

Erasing identity while keeping the signals analysis needs — video without personal data

Building privacy into the design itself, not patching it after problems appear

Linking the same object across cameras by anonymous features — not identity verification

AI that reads relationships within a space as people and objects move through it

Spatial data that shows where customers lingered, visualized in color

A metric that gauges interest by how long customers stay in a given space

Dividing a store into zones to measure which spaces drive sales

Foundational analysis that precisely measures visitor flow by hour and day

An analytical method to understand, through data, what customers do in store

Measuring density per space in real time to manage congestion proactively

POS knows only what was paid for — far more data goes unrecorded

The share of passers-by who actually walk in — the metric that tells a location problem from a store problem

Pass-by → entry → dwell → purchase — the frame for finding where customers leak out

Reading picked-up-and-put-back items to see what happened just before the purchase

Counting footfall and entries — where every store metric begins

Analysis that reads where visitors move through a space, in route and sequence

Analysis that reads when and where queue size and wait time increase

The share of all seats that are currently in use

The share of visitors who actually buy — a core measure of store efficiency

Key to café and restaurant profitability — how many times a table turns per day

A data-driven, scientific approach to improving product display and store presentation

A layout plan that specifies where each product belongs on a display

AI automatically detects empty shelf space and sends real-time alerts

An operating model in which AI automatically handles repetitive store checks and responses

Detecting and responding to incidents and theft in real time during unattended night operations