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Oniva

Let’s Get Outside !

Team any name�Pranjali Lal Das, Isaac Liu, Michelle Wan, Vicki Zhang

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How can we use technology to deliver an Omnichannel experience that engages customers and promotes wellness and healthy lifestyles?

PROBLEM DEFINITION

> Engaging product discovery

> Elevated fashion-tech experience for Arc’teryx customers

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UNLOCKING OPPORTUNITY

Encouraging Exploration.

(National Léger survey, 2023)

“72% of Canadians have used trails in the past 12 months”

“69% of Canadians said that easy access to trails and outdoor activities have an impact on where they choose to live”

“94% of Canadians use trails to enhance their mental health”

“89% or respondents recognize the importance of trails for preserving greenspace.”

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Oniva

Introducing a new way of Product Discovery. >>

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Trail Enjoyer Tracy

Age: 28

Occupation: Software Engineer

Location: Vancouver, BC

Looking to discover more difficult hiking trails nearby, without having to do extensive searching.

Doesn’t know what gear to purchase for hiking, previously using casual sportswear.

Doesn’t know where to start when it comes to purchasing hiking gear for the first time.

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PRODUCT VISION

Drive product discovery and sales while encouraging local outdoor trail/activity exploration.

Solving Trail and Product Discovery

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OMNICHANNEL CONSIDERATIONS

OUR RECOMMENDATION SYSTEM IS BASED ON EXISTING ARC’TERYX COLLECTIONS CLASSIFICATION

Our priorities:�

�

  • Ensuring Omnichannel experience by maintaining information hierarchy
  • Promotion of outdoor activity & wellness alongside elevated product discovery
  • Providing a “personalized” product discovery process

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User Flow + Tech Overview

LANDING

Front-end Built with React + Tailwind CSS

Start Here

Start from Outfit

Start from outfit -> Upload a picture of your outfit -> Google Cloud Vision AI insights -> Object labeling and localization -> Score based on label confidence -> Recommend products

Start from Activity -> User search requirements (level, priorities, activity type) -> Pass selections as props

Activity parameters -> Google Maps Nearby Places API search according to user location -> Cross-reference results with custom MongoDB database -> Display matching trails

Provides 3 Options

  • Selected Trail Info (Difficulty, Location, Webpage)
  • Recommended Arc’teryx Products

Start from Activity

  • Location Settings
  • Product Preference

TYPE SELECTOR

ACTIVITY QUIZ

OUTFIT ANALYSIS

OUTFIT ANALYSIS

ACTIVITY ANALYSIS

TRAIL DISCOVERY

PRODUCT DISCOVERY

DISCOVERY

USER INFORMATION QUIZ

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Design Principles

Following the Arc’teryx principle of: “Simple Solutions to Complex Challenges”

Minimalism

Intuitive Navigation

Fit-for-Purpose

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Demo

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Future Considerations

  • Implementation of a streak/rewards system (gamification)
  • Connections with Arc’teryx customer account
  • Support larger range of activities

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Thanks for Listening

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Appendix A: Scoring Algorithm