Provide personalized product search to increase +6M revenue

Web & Mobile · 2025

What is Canadian Tire & Weekly deals?

Canadian Tire is a major Canadian retailer known for its wide range of home, automotive, and sporting goods

Our project introduced an AI deals assistant to improve the sale items search experience and help users discover relevant deals faster. This was crucial because the Weekly Deals page, which is prominently placed on the homepage, features over 2,000 items updated weekly, drives about 57% of daily clicks, and is a key revenue source for Canadian Tire

Our project introduced an AI deals assistant to improve the sale items search experience and help users discover relevant deals faster. This was crucial because the Weekly Deals page, which features over 2,000 items updated weekly and drives about 57% of daily clicks, is a key revenue source for Canadian Tire.

Results

Total Revenue

+6M

PDP View Rate

Total Revenue

+30.4%

+12.3%

AOV

User Engagement

+23.3%

Add to Cart

+15.2%

The Problem

48% users having hard time finding products they are looking for due to a broad categories

Discovery

How are users shopping on the weekly deals page?

I analyzed past research to better understand users’ behavior when shopping for deals

Insight 1

48% users use categories to find a specific product they are looking for

The current categories offer only 5 different menu and the rest of the categories are not easy to navigate since it's located in the filter

Insight 2

80% users consider 30% off+ as a good deal

To be able to apply 30% off filter was hidden under the filter

The Target Group

Specific sale shopper

Our recent user survey revealed that 61% of users are looking for a specific sale item rather than generally browsing

61%

Specific sale shoppers

39%

General sale shoppers

The Goal

HMW improve deals search experience for users who are looking for a specific product?

Understanding the Business Goal

Transforming the traditional search UX to AI Search

Discovering items faster

Better product categories

Compare products

AI deal assistant

Design Solution

Introducing an AI deals assistant to help users find specific sale items faster and discover relevant ones

Next Steps

Build an AI assistant to replace the existing UX for search
to Build MVP with prioritization

Our North Star vision was to develop an AI assistant. However, due to limited resources, we prioritized building an MVP first, with plans to integrate the AI assistant in 2026

Highlight 30%+ deals product
Provide personalized categories based no users shopping & browse history

The MVP Goal

Add personalization to the page to help users to discover weekly deals items easier

Solution Exploration

Solution 1 : Surface 30%+ off deals under product recommendations section

Hypothesis
Highlighting highest (From 30%+) discount products will increase engagement & sales

Hypothesis
Highlighting highest (From 30%+) discount products will increase engagement & sales

Users Insight
80% users consider +30% off deal is a good deal

Users Insight
80% users consider +30% off deal is a good deal

Solution 2 : Replaced static categories with dynamic, personalized ones based on users’ shopping and browsing history

Hypothesis
Providing personalized categories will help users to find the products they are looking for faster

Hypothesis
Providing personalized categories will help users to find the products they are looking for faster

Users Insight
48% users have difficulty navigating to find the products and 61% users shop based on their specific needs

Users Insight
48% users have difficulty navigating to find the products and 61% users shop based on their specific needs

Final Solution & Design

Introduced a curated carousel of 30%+ off items, with categories personalized to each user’s behavior

Next Steps

Allocating more resources to build it out in the next year
The business team plans to allocate more resources to building the AI model in 2026

Making prioritization decisions using a Kano study
To guide incremental updates to the AI feature, the research team is running a Kano survey to prioritize features

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Provide personalized product search to increase +6M revenue

Provide personalized product search to increase +6M revenue