Product Discovery vs. Product Search in Fashion E-commerce

Understanding the key distinctions that drive and impact Fashion E-Commerce success

In the competitive world of fashion e-commerce, ensuring customers find the products they want—and discovering new ones they didn’t know they needed—is key to success. This is where the distinction between product search and product discovery becomes essential.

These two concepts operating within the same realm of the discovery process aim to connect customers to products, while often used interchangeably, serve different purposes and play unique roles in shaping customer engagement and business growth. But achieving this balance hinges on understanding the crucial differences between product search and product discovery.

Imagine strolling through a bustling fashion store. You have a specific dress in mind (product search), but as you browse, a stunning pair of earrings catches your eye (product discovery). This delightful surprise shopping experience is what online fashion retailers strive to replicate in the digital realm. Let’s delve into their differences, importance, and how they interconnect to enhance the overall shopping experience by leveraging AI tools that can help fashion e-commerce businesses unlock operational efficiency and drive sales.

Product Search: Finding What You Came For

Product search refers to the functionality of an e-commerce platform that allows customers to locate specific products using keywords, filters, or categories. It’s a goal-oriented process, where customers already know what they want and use search tools to find it. It is a direct and linear approach, aiming to deliver precise results quickly.

Think of product search as the targeted detective in your online shopping journey. It empowers you to find specific items efficiently. Statistics show its importance: 69% of online shoppers use the search bar directly on a website, according to Nosto.

Key Features of Product Search:

  • Keyword-Based Queries: Customers type specific or desired terms and keywords in the search bars like “black leather jacket” or “red maxi dress” helping them find what they are looking for with precision.
  • Search Relevance: Accurate tagging and metadata deliver relevant fast results with speed reducing the time spent searching.
  • Filtering Options: Customers can refine their search by size, colour, price, or material.
  • Auto-complete and suggestions: Assist customers in finding the right terms by giving them suggestions to use the accurate product taxonomy to achieve efficient search results.
  • Intent-Driven: Product search caters to customers with clear intent.

Benefits for Businesses:

  • Faster conversions by guiding customers, who know what they want, with relevant products
  • Reduced bounce rates as customers find relevant products efficiently.
  • Increased customer satisfaction by reducing frustration and cart abandonment rates with streamlined navigation.
  • Valuable data insights into customer preferences and achieve operational efficiency that helps streamline the shopping process

Product Discovery: The Thrill of the Unexpected

Product discovery is a broader concept that encompasses how customers stumble upon products they weren’t actively searching for but find appealing. It is a more intuitive and exploratory process. It involves personalized recommendations, curated collections, and engaging browsing experiences that inspire and delight customers.

Now, picture yourself wandering through the store, mesmerized by a captivating display of complementary accessories you hadn’t considered before. This is the essence of product discovery – the art of introducing customers to exciting new possibilities.

Key Features of Product Discovery:

  • Personalized Recommendations: Companies aim to enhance customer experience with varied product options based on browsing behaviour, purchase history, and preferences.
  • Exploratory Navigation: Allows customers to explore curated collections and trends or styles they might be interested in exploring.
  • “Lookalike” products: Showcase similar items to what a customer has viewed with matching attribute giving them multiple options to choose from and avoid disappointment when an item is not in stock.
  • Customer Delight: Focuses on inspiring and encouraging customers to make purchases and build connections.

Benefits for Businesses:

  • Encourages higher average order value (AOV) enticing customers to make additional purchases through cross-selling and upselling thereby increasing sales.
  • Builds customer loyalty by creating and fostering a sense of excitement and discovery that help create memorable shopping experiences.
  • Increases dwell time on the website, improving customer engagement metrics.
  • Differentiate brands with intuitive product discovery contributing to a unique and tailored shopping journey.

The Intertwined Threads: How Product Search and Product Discovery Impact Each Other

Product search and discovery are not isolated entities; they work in beautiful harmony. While product search is task-focused and transactional, product discovery is exploratory and inspirational. Together, they create a comprehensive shopping experience that caters to all types of customers—from those with clear intent to those browsing casually.

For example, a customer searching for a “denim jacket” uses the search bar to find specific options. While browsing, they are presented with a curated style product recommendations section featuring denim jackets paired with clothes and accessories, boosting their purchase potential. A customer might start with a specific search but end up discovering additional items through personalized recommendations, leading to a higher overall purchase. Here’s why:

  • Discovery can inform search: Customers inspired by product recommendations might refine their search queries to delve deeper into specific styles or trends.
  • Data Utilization: Both features leverage customer data to improve accuracy and relevance, enhancing the overall effectiveness of the e-commerce platform.
  • Better Customer Engagement: Combining accurate search results with personalized recommendations ensures customers find what they need while exploring what they might want.
  • Improved Customer Retention: A seamless experience, a balanced approach that keeps customers engaged longer, integrates search and discovery builds trust and encourages repeat visits.

Enhanced Sales Opportunities: While search drives conversions for intent-driven customers, discovery increases AOV by showcasing complementary products.

Beyond the Surface with AI Tools: Why These Features Matter to Fashion E-commerce

AI and machine learning have revolutionized how e-commerce platforms handle product search and discovery. By analysing vast amounts of customer data, AI tools can predict preferences, improve search accuracy, and enhance discovery mechanisms.

Implementing AI tools can substantially impact both operational efficiency and sales growth in fashion e-commerce. Okkular’s AI solutions automate tasks like product tagging and SEO content generation, ensuring consistency and improving search functionality. This automation frees up time for strategic growth initiatives and enhances the overall customer shopping experience.

Impact on Product Search:

  • Natural Language Processing (NLP): AI understands customer queries, even with typos or vague descriptions.
  • Dynamic Filtering: Ensures customers can refine searches based on evolving preferences.
  • Faster Results: AI optimizes search algorithms, reducing search friction.

Impact on Product Discovery:

  • Personalized Recommendations: AI uses browsing and purchase history to suggest products that align with customer tastes.
  • Real-Time Adjustments: AI dynamically adapts suggestions based on live customer interactions.
  • Styling Tools: Features like “Shop the Look” encourage customers to explore bundled products.

Why These Features Matter to Fashion E-commerce Businesses

For Businesses:

  • Increased Sales and Conversions: Combining search and discovery ensures no customer leaves empty-handed.
  • Operational Efficiency: AI can streamline product discovery reducing customer frustration and improves navigation.
  • Enhanced Brand Loyalty: A smooth, engaging shopping experience builds trust and encourages repeat visits.

For Customers:

  • Seamless Navigation: Efficient search tools help them find exactly what they need, finding the perfect piece now becomes faster and more effortless.
  • Inspiration and Delight: Discovery introduces customers to new favourites, making shopping more engaging.

Better Decisions: Comprehensive filters and personalized recommendations help them make informed purchases.

The Role of Okkular in Optimizing Search and Discovery

Okkular’s AI-powered solutions bridge the gap between product search and discovery, ensuring fashion e-commerce businesses can cater to both intent-driven shoppers and casual browsers.

How Okkular Helps:

  • AI-Powered Metadata Creation: Ensures accurate tagging for precise search results.
  • Dynamic Filtering and Search Optimization: Enables customers to refine queries effortlessly.
  • Personalized Recommendations: Tailors product suggestions to individual customer preferences.
  • Styling and Bundling Features: Tools like curate styles that inspire customers to engage and increase AOV.
  • Scalability for Large Catalogues: Handles growing inventories with consistent metadata management.

Example Use Case: A fashion retailer using Okkular’s solutions sees a 30% increase in conversions as customers can easily search for specific items while discovering complementary products through personalized recommendations.

Conclusion: The Perfect Blend Creates that Fashion E-commerce Magic

For fashion e-commerce businesses, balancing product search and discovery is essential for creating an engaging shopping experience that drives growth. While product search caters to immediate needs, product discovery fosters long-term customer relationships by delighting and inspiring shoppers.

By leveraging Okkular’s AI-powered solutions, businesses can seamlessly integrate both functionalities, ensuring operational efficiency, enhanced customer experiences, and measurable sales growth. Customers don’t just shop—they search, scroll, and discover. It is mandatory for fashion businesses to enhance shopping journey paths for its customers. Remember, the ideal online wardrobe is built upon both the reliable favorites you seek and the unexpected gems you discover along the way. Visit our website or request a demo to see how we can elevate your fashion business.