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.
- Organization
- Canadian Tire Corporation
- Industry
- Retail
- Location
- Canada
- Published
- January 2024
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Canadian Tire Corporation
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- news.microsoft.com
No explicit deployment-stage evidence found.
Primary read
Use case focus
Showing 3 of 4
- 1Personalized AI shopping assistant for automotive products
- 2AI copilots for store associate support and operations
- 3Predictive analytics for retail using unified data platform
- Retailers face high workforce turnover and shifting consumer preferences.
- Disparate, siloed retail data made it difficult to obtain unified business insight.
- Customers expected highly personalized shopping recommendations and seamless support, but available tools were limited.
- Associates lacked efficient digital tools and real-time access to product or HR information.
- Implemented AI-powered copilots using copilot templates from Microsoft Cloud for Retail and Azure OpenAI Service.
- Launched an Azure OpenAI-powered shopping assistant for automotive products on CTC's digital platform.
- Provided store associates with copilot-driven support for procedures, HR, catalog, and customer questions.
- Unified retail data with Microsoft Fabric retail data solutions, enabling predictive analytics and actionable insights.
- Streamlined marketing and campaign execution using AI tools in Dynamics 365 Customer Insights.
- Personalized shopping increased consumer engagement and basket size.
- Staff workload reduced and productivity increased.
- CTC achieved an ROI of $3.45 for every $1 invested in AI, with payback in 14 months.
- Actionable customer insights unlocked from previously siloed data, improving store and marketing operations.
Architecture
Generative AI copilots powered by Azure OpenAI Service are embedded using copilot templates for shopping assistance and store operations. Unified data analytics are enabled via Microsoft Fabric and its industry-specific data model. Dynamics 365 Customer Insights and Fabric are combined to drive marketing automation and store analytics. Store associate copilots are accessed via mobile/tablet devices, integrating with operational and HR systems for real-time support.
Sources & evidence1
- Customer explicitly identified
- Independent source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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