Microsoft Retail Canada

Canadian Tire Corporation

Data Lake / Data Warehouse Modernization · IT Operations Automation · Marketing Personalization

In moving its data from on-premises systems to Microsoft Azure, and building digital assistants using Azure OpenAI Service, the company relieved its workforce from mundane tasks to focus on higher-value customer experiences.

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In addition to building ChatCTC to boost employee productivity, CTC also used Azure OpenAI Service to develop CeeTee, an AI-powered shopping assistant that simplifies the complicated tire buying process for customers.

In today’s rapidly evolving retail landscape, staying ahead of market trends is critical for businesses aiming to enhance customer engagement and drive growth.

More than 3,000 corporate employees save 30 to 60 minutes a day using its ChatCTC digital assistant, as the company provides self-service access to data and fosters a data-driven culture across the organization.

Since 1922, Canadian Tire Corporation (CTC) has been providing Canadians with the products they need for the jobs and joys of life by continuously seeking to revolutionize the customer experience.

Reported impact

Business outcome

Through the power of generative AI, the company is now poised to redefine productivity, efficiency, and business growth as it works to deliver on its brand purpose to “make life in Canada better.” AI-driven transformation Several years ago, CTC made a commitment to strategically invest in the Microsoft Azure AI platform, ensuring a robust foundation for generative AI.

Solution

To remain competitive in a fast-changing retail industry, Canadian Tire Corporation chose to pioneer the responsible use of generative AI to drive efficiencies, create unique customer experiences, and differentiate itself from competitors. In moving its data from on-premises systems to Microsoft Azure, and building digital assistants using Azure OpenAI Service, the company relieved its workforce from mundane tasks to focus on higher-value customer experiences. Through the power of generative AI, the company is now poised to redefine productivity, efficiency, and business growth as it works to deliver on its brand purpose to “make life in Canada better.” AI-driven transformation Several years ago, CTC made a commitment to strategically invest in the Microsoft Azure AI platform, ensuring a robust foundation for generative AI. Built with scale in mind, CeeTee has already demonstrated a significant impact on conversion rates during the recent spring tire buying season.

Solution architecture

3 components · 1 layer

Compute
- Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.
- Azure Provides the secure, scalable cloud foundation for the solution.
- Azure Data Lake Analytics Processes analytical data workloads for reporting or machine learning.

Architecture clues

Built with scale in mind, CeeTee has already demonstrated a significant impact on conversion rates during the recent spring tire buying season.
By moving a significant amount of its data from on-premises systems to Azure , the company matured its data governance capabilities to gain deeper insights from its data.
In moving its data from on-premises systems to Microsoft Azure, and building digital assistants using Azure OpenAI Service, the company relieved its workforce from mundane tasks to focus on higher-value customer experiences.
Through building a process framework for data ingestion into its Azure Data Lake , CTC ensures that data quality issues are identified and addressed at the source.
Through the power of generative AI, the company is now poised to redefine productivity, efficiency, and business growth as it works to deliver on its brand purpose to “make life in Canada better.” AI-driven transformation Several years ago, CTC made a commitment to strategically invest in the Microsoft Azure AI platform, ensuring a robust foundation for generative AI.

Evidence from the source

In moving its data from on-premises systems to Microsoft Azure, and building digital assistants using Azure OpenAI Service, the company relieved its workforce from mundane tasks to focus on higher-value customer experiences.

Through the power of generative AI, the company is now poised to redefine productivity, efficiency, and business growth as it works to deliver on its brand purpose to “make life in Canada better.” AI-driven transformation Several years ago, CTC made a commitment to strategically invest in the Microsoft Azure AI platform, ensuring a robust foundation for generative AI.

Transparency Evidence & methodology 90/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth15/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
2 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence77%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence10/20
2 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Microsoft
Canadian Tire Corporation customer story

First-party
https://www.microsoft.com/en/customers/story/19774-canadian-tire-azure

Source type
Vendor-published customer story

Published
Nov 20, 2024
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date

Date evidence

Published on source page Nov 20, 2024 · Microsoft · First-party
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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