Provision record
Uber · Uber Privacy Notice (Drivers and Delivery People) · View original document ↗

Automated Matching Using Location and Historical Data

High severity High confidence Explicit document language Common · 216 of 352 platforms

Key Facts · in the document’s own words

What factors do algorithms evaluate to determine the best match for a trip?
“Our algorithms then evaluate various factors to determine the best match for a given trip or delivery request based on the available Drivers/Delivery People in the area. These factors include your location...”
Version CA-V-007016, captured Sept. 18, 2026 · live source ↗
Our reading, not the document’s words
Uber uses algorithms that evaluate multiple factors, including a user's location, to determine the best match for a trip or delivery request from available Drivers or Delivery People.
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This analysis describes what Uber's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Matching decisions that affect both riders and drivers are made automatically by algorithms using personal data including real-time location.

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Interpretive note: The excerpt references 'various factors' including location but does not fully enumerate all factors; only location is explicitly named.

Consumer impact (what this means for users)

Your location data is processed automatically by Uber's algorithms to determine which Driver or Delivery Person is assigned to your request.

How other platforms handle this

Lyft Medium

We use personal information in connection with certain automated processes to operate the Lyft Platform, for example, to match Riders and Drivers, detect and prevent fraud, and enforce our Terms of Service.

Public.com Medium

We may infer new information from other data we collect, including using automated means to generate information about your likely preferences or other characteristics ("inferences").

ZipRecruiter Medium

We use automated decision-making to help improve our products and services to you. For example, we may use automated technologies to send you job alert emails regarding roles that may be of interest to you based upon your search criteria...

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
Our algorithms then evaluate various factors to determine the best match for a given trip or delivery request based on the available Drivers/Delivery People in the area. These factors include your location...

Excerpt from Uber's Privacy Notice (Drivers and Delivery People)

Applicable regulations

GDPR
European Union
UK GDPR
United Kingdom

Provision details

Document information
Document
Uber Privacy Notice (Drivers and Delivery People)
Entity
Uber
Date stated by the document
Sept. 17, 2026
As printed in Uber’s text (version CA-V-007016), not a ConductAtlas date.
Tracking information
First captured by ConductAtlas
March 15, 2026
Text quoted from version
CA-V-007016, captured Sept. 18, 2026
Record ID
CA-P-025237
Document ID
CA-D-000110
Evidence Provenance
Source URL
Wayback Machine
Archived bytes SHA-256 (version CA-V-007016)
0fe1fbbb55cb1112273d06b6b408ea4461ce7a5610380a82a7cf1322d196577c
Analysis generated
May 21, 2026 04:31 UTC
Methodology
Evidence
✓ Excerpt found verbatim in version CA-V-007016 (checked Oct. 5, 2026)
Citation Record
Entity: Uber
Document: Uber Privacy Notice (Drivers and Delivery People)
Record ID: CA-P-025237
Version: CA-V-007016
Captured: 2026-09-18 00:22:28 UTC
SHA-256: 0fe1fbbb55cb1112…
URL: https://conductatlas.com/platform/uber/uber-privacy-notice-drivers-and-delivery-people/provision/CA-P-025237/automated-matching-using-location-and-historical-data/
Accessed: Oct. 10, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

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Frequently Asked Questions

What does Uber's Automated Matching Using Location and Historical Data clause do?

Matching decisions that affect both riders and drivers are made automatically by algorithms using personal data including real-time location.

How does this clause affect you?

Your location data is processed automatically by Uber's algorithms to determine which Driver or Delivery Person is assigned to your request.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 216 platforms. See the full comparison.

Is ConductAtlas affiliated with Uber?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Uber.