Canadian Tire Corporation

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Canadian Tire Corporation has 3 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country.

Use Cases

3

Industries

1

Countries

1

Hyperscaler mix

See whether Canadian Tire Corporation's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Canadian Tire Corporation builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

2 of 3 cases classified (67%) · Compare all use-case types

Use case portfolio

Use case types at Canadian Tire Corporation

Shopping recommendations leads with 2 of 3 documented cases; 2 distinct types appear across the visible portfolio.

Technology snapshot

What Canadian Tire Corporation uses across visible cases

Voice & Speech AI appears in 2 of 3 indexed cases; 11 named technologies are mentioned, led by Azure OpenAI.

All Use Cases (3)

GCP

Canadian Tire Case Study | Google Cloud

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.

Retail
Microsoft

Canadian Tire streamlines tire shopping with AI-powered assistant

Canadian Tire Corporation launched an AI-powered virtual assistant, CeeTee, to help customers choose the right tires online, address product selection friction, and improve the digital retail journey. Developed in partnership with Microsoft and built on Azure OpenAI Service using GPT-4, CeeTee provides customers with a conversational experience, allowing recommendations, stock checks, and personalized product guidance through voice or text within the Canadian Tire app. The retailer undertook extensive user testing and built privacy safeguards, ensuring all interactions are anonymized and grounded solely in product data. Since its March launch, nearly 10,000 users engaged in 700,000 chat sessions, improving experience and increasing efficiency for tire buyers navigating complex options. The deployment is part of a broader AI strategy, with CTC already leveraging Azure for analytics, automation, and employee productivity tools. Early customer feedback indicates higher satisfaction, convenience, and a ‘consultative seller’ experience online. Canadian Tire intends to extend this approach to additional product categories.The CeeTee project followed a measured roll-out with ongoing studies to analyze use and impact, but initial metrics indicate both improved user self-service for tire selection and positioning Canadian Tire as an AI innovator in retail. CeeTee’s launch coincides with CTC and Microsoft’s seven-year partnership to advance digital and AI-enabled experiences in Canada’s retail sector.

Retail
Voice
Microsoft

Canadian Tire Corporation transforms personalized retail with AI copilots

Canadian Tire Corporation leveraged Microsoft Cloud for Retail and Azure OpenAI Service to deliver personalized AI-powered shopping experiences and streamline store operations.New copilot templates helped CTC quickly integrate generative AI shopping assistants into their website for automotive product purchase guidance and store associate support.The solution used Microsoft Fabric for unified retail data analytics and Dynamics 365 Customer Insights for AI-driven marketing and campaign management.Store associates benefited from AI copilots on mobile devices, which provided instant access to store procedures and product information via natural language and voice interfaces.Microsoft Fabric's retail data model unified data across CTC's ecosystem, while new Copilot features in Dynamics 365 automated marketing campaign management.CTC achieved faster, personalized customer journeys, improved staff productivity, and realized a reported ROI of $3.45 per $1 invested within 14 months.Industry and consumer feedback highlighted improved product recommendations, increased customer engagement, and better in-store and online experiences.

Retail
AgentCopilotVoiceFabric

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