The Future of Ecommerce by Connie Chan

Current Landscape and Problem Statement

• Western online commerce is currently dominated by search-based models where consumers efficiently purchase pre-determined items but miss the "delight" of product discovery.
• Traditional search-based commerce fails to capture consumer intent for products they were not explicitly looking for.

The Shift to Discovery-Based Commerce

• AI is being deployed to aggregate purchase history and peer data to generate personalized recommendations based on specific attributes (e.g., neckline, color) and dynamic pricing triggers (e.g., 30% discounts).
• The predicted outcome of this evolution is higher conversion rates and a reduction in product returns through more informed purchasing decisions.
• Future marketplace winners will be defined by their ability to merge the "joyful discovery" of physical retail with the infinite inventory of digital platforms.

Mechanisms and Drivers of Discovery

• Discovery shopping formats utilize photos, short-form video, and live streaming to engage users.
• Platform Examples:
  • Teemu: Delivers personalized, gamified feeds of products and deals.
  • TikTok and YouTube: Drive sales through unboxing videos and user testimonials.
  • Whatnot: Facilitates real-time sales via live streaming.
• Influencers and social media groups (Facebook groups, chats) act as primary drivers, allowing buyers to leverage peer feedback and social validation.

Strategic Advantages for Brands

• Discovery-based models allow retailers to monetize overstock by presenting excess inventory as limited-time deals or exclusive coupons.
• The US market currently lags in discovery-based options compared to Chinese platforms but is projected to catch up rapidly.
• Success in this area relies on surfacing products with high predicted interest to drive sales velocity.

Bridging the Online-Offline Gap

• To convert discovery into sales, retailers must replicate offline benefits (e.g., fitting rooms, sales rep consultation) within digital environments.
• Key Tactics:
  • Social Proof: Chinese platforms enable users to send cart links to friends for comments and validation.
  • Technology Integration: Augmented reality dressing rooms and body scan technology are used to guarantee fit and instill purchase confidence.
  • Human Interaction: Online sales reps are being trained to provide personalized guidance via private group chats or chat portals.

Conversion Drivers in Live Shopping

• Live video streaming allows shoppers to view products in action, receive tutorials, and participate in giveaways.
• Psychological Triggers:
  • FOMO (Fear Of Missing Out): Limited availability (e.g., single Birkin bags) creates urgency.
  • Social Validation: Observing like-minded peers purchase items reinforces trust and community desirability.

Solving the Returns Challenge

• Excess inventory costs the industry hundreds of millions of dollars annually and creates significant environmental waste.
• Mitigation Strategies:
  • Providing consumers with richer product information and variety to ensure informed decisions and reduce "bracketing" (buying multiple items to try on and returning the rest).
  • Implementing AI software that analyzes real-time data (sales, sell-through, conversion) to predict returns and manage warehouse inventory.
• Sustainability Trends:
  • Gen Z consumer demand is driving major brands (Target, Lululemon, Gucci, Rent the Runway) to adopt tech-enabled resale programs.
  • Startups are emerging to match liquidation centers and donors with resellers to offload excess inventory profitably.

Future Outlook

• The industry is moving toward a "virtuous cycle" of product discovery that combines offline browsing interactivity with online ease.
• Technology is being utilized across the entire purchase lifecycle (before, during, and after the sale) to increase conviction and optimize the shopping experience.