What challenges did Canadian Tire Corporation face before AI implementation?

Canadian Tire needed to harmonize digital and offline customer data in real time. The company lacked a complete view of loyalty-customer journeys across channels. It needed faster insight into customer friction and shopping behavior to improve personalization.

Source

GCPEvidence: Medium50/100

Canadian Tire Case Study | Google Cloud

Use case typeCustomer personalizationUpdated Jul 18, 2026

Canadian Tire Corporation, one of Canada’s largest retailers, used Google Cloud and Quantum Metric to gain a real-time view of loyalty-customer digital journeys across online and offline channels. The company built ingest jobs into BigQuery, captured roughly 600 signals per customer session, and used the data to run frequent personalization experiments and improve omnichannel shopping experiences. The program helped the retailer tailor offers and recommendations and support a loyalty program with more than 11 million active members.

Organization: Canadian Tire Corporation
Industry: Retail
Location: Canada
Published: July 2026

Reported outcomes

70-80 count

personalization experiments per monthOther quantified impact

+15%omnichannel sales

Strategic outcomes

Customer experience & trustReduced friction across the digital customer journeyScale & capacitySupports a loyalty program with major member scaleBetter decisions & insightDemocratized access to customer insights across teams

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Omnichannel sales: 15% increase

Google Cloud customer storyJul 18, 2026Customer storyExplicit claimMedium evidence strength

we are seeing omnichannel sales increase by up to 15 percent

Normalized claim

Personalization experiments per month: 70-80 count increase

Google Cloud customer storyJul 18, 2026Customer storyExplicit claimMedium evidence strength

the Canadian Tire Corporation team runs 70 to 80 personalization experiments on a monthly basis

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Canadian Tire Corporation
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud customer story

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Customer personalization
2Real-time analytics
3Customer loyalty

Canadian Tire needed to harmonize digital and offline customer data in real time.
The company lacked a complete view of loyalty-customer journeys across channels.
It needed faster insight into customer friction and shopping behavior to improve personalization.

Built BigQuery as the core data foundation.
Created ingest jobs to move offline sales data into BigQuery.
Used Quantum Metric to collect and analyze roughly 600 signals per customer session.
Integrated logs from Quantum Metric into BigQuery for real-time journey analysis.
Ran frequent personalization experiments to determine which offers and incentives improved engagement.

Technologies

BigQuery Google Cloud Looker Google Analytics

Omnichannel sales increased by up to 15%.
The company supports a loyalty program with more than 11 million active members.
The team runs 70 to 80 personalization experiments per month.

Sources & evidence1

Evidence: Medium50/100Evidence strength