Is your storefront search costing you customers? How AI optimizes the modern discovery journey

Ellie Ho

May 2, 2025

•

5 min read

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‍In eCommerce, product discovery is no longer just a feature - it's central to the customer experience, conversion rates, and revenue growth. As consumers demand more personalized and intuitive shopping experiences, merchants must adapt. At Boost, we know that making it easy for customers to find the right products isn’t just about a search bar or filters - it’s about delivering a seamless, relevant, personalized experience that drives engagement and sales.

With technology advancing and shopper expectations rising, brands that want to stay competitive must rethink their discovery strategy now. Product discovery has the potential to make or break a sale, and for Shopify and Shopify Plus brands, getting it right can be the difference between converting a lead and losing a customer.

In this article, we explore how modern product discovery trends are shifting and why they matter for your business.

The shift to semantic search: Moving beyond keyword matching

Shoppers don’t always know the exact product name or SKU they are looking for. They might use natural language, broad descriptions, or even ask questions. Traditional keyword-based search often fails to connect these queries with the right products, leading to frustration and lost sales.

This is where Boost’s AI-powered search shines. With intent-driven search, Boost goes beyond keywords to understand the true meaning behind every query, even when the words aren't exact. Whether fixing typos or recognizing synonyms, Boost’s AI delivers fast, relevant results, reducing bounce rates and turning searches into conversions.

This smarter, context-driven approach helps customers find what they’re looking for faster and ensures your store maximizes every opportunity to make a sale.

A Coleman Parkes report suggests that businesses are significantly increasing investments in search and discovery technology. 43% of surveyed merchants increased their investment in site search by more than 8% in 2023, and just as many plan to increase it again in 2024. The message is clear: better search = more revenue.

Various reasons to open the wallet for site search investment.

Intent-driven search is emerging as the new standard for eCommerce product discovery. Powered by AI and natural language processing (NLP), this approach interprets meaning and context, not just keywords. It corrects typos, recognizes synonyms, and prioritizes results based on shopper behavior.

Shopify brands that adopt intent-based discovery can reduce bounce rates and increase conversions by ensuring shoppers find relevant products faster.

Implementing a smarter site search strategy doesn’t have to break the bank. Boost’s AI Search & Discovery offers an affordable, AI-first way to transform how shoppers find products. At the core is our AI-powered semantic search feature, which goes beyond keywords to understand the true intent behind every query. Using natural language processing, typo tolerance, and intelligent synonym recognition, Boost delivers faster, more relevant results based on real shopper behavior. It's search that thinks like your customer, helping reduce bounce rates, increase conversions, and turn more intent into revenue.

But Boost doesn’t stop there. Its predictive bundling feature curates personalized product combinations based on real-time behavior and showcases them right inside search results. It’s a smarter way to guide shoppers to bigger baskets and higher average order value (AOV).

Instead of static merchandising, Boost helps you run a store that adapts in real time. Products are automatically ranked based on performance and shopper behavior - best-sellers, trending items, and relevant bundles show up first. It’s the discovery that works like your best sales assistant, minus the manual effort.

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Boost transforms your storefront from static to dynamic - without the manual work.

Instead of pinning products or constantly tweaking layouts, Boost automatically ranks and reorders products based on real-time shopper behavior. Your best-sellers, trending items, and most relevant bundles always show up first.

It’s merchandising that runs itself, gets smarter every day, and helps you sell more, with less effort.

From trend to transformation: Is your storefront ready?

‍Managing fragmented point solutions for search, collections, and merchandising creates a disconnected buyer journey that hurts conversion rates. To maximize customer lifetime value, modern commerce leaders are moving away from manual rule curation and legacy keyword matching.

High-converting storefronts rely on a unified intelligence layer that bridges the gap between shopper intent and real-time product relevance. When your search, navigation, and product discovery function as a cohesive ecosystem, you build the immediate buyer trust that drives sustainable revenue growth.

Learn how to unify your storefront experience and optimize your entire product discovery framework: Learn more about AI-powered discovery

Zero-result mitigation: Eliminating dead ends in the funnel

Every zero-result search is a missed opportunity, whether caused by spelling errors, unusual phrasing, or unavailable inventory. These gaps often lead to shopper drop-off and lost revenue.

To close this gap, leading eCommerce brands are adopting zero-result mitigation strategies, including offering alternative suggestions, displaying trending products, and leveraging AI-powered recommendations to keep shoppers engaged..

Boost helps merchants minimize the impact of zero-result searches with powerful toolkits that address the root causes. By using Boost's comprehensive analytics, you can pinpoint specific search terms that yield no results, identify gaps in your product catalog, and proactively optimize your offerings to increase conversion rates and drive sales.

Great to know: Unexpected benefits you can get from site search analytics

Furthermore, merchants can set up AI-powered recommendation widgets on search result pages to offer intelligent suggestions to keep shoppers engaged and reduce the likelihood of them abandoning the site due to zero-result searches.
These recommendations can include relevant alternative products, trending items that align with the shopper’s intent, or even personalized product bundles tailored to their unique preferences. By proactively offering these alternatives, merchants can protect revenue and enhance the product discovery journey, ultimately creating a smoother, more satisfying experience for their customers..

Why personalization in eCommerce product discovery is now essential

Personalization has evolved from a luxury to a must-have strategy in eCommerce product discovery. Today’s shoppers expect brands to recognize their intent and respond with relevant results, recommendations, and promotions.

More and more businesses are incorporating personalization in their online empire.

Merchants are moving beyond static product recommendations. They’re leveraging real-time behavior data, such as recent searches, filtering preferences, and browsing history, to create personalized discovery journeys. AI-powered personalization adjusts product rankings, suggests bundles, and highlights high-converting products based on each shopper's unique interests and behavior.

This level of personalization not only boosts engagement but also drives conversions and increases average order value (AOV).

Boost’s personalization engine delivers exactly this. By tapping into real-time shopper data, including recent searches, filtering preferences, and browsing history, it customizes the entire discovery process. Product rankings dynamically adjust, bundles are intelligently recommended, and high-converting products are showcased based on individual shopper preferences. This level of personalization fuels engagement, drives conversions, and directly impacts your bottom line.

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Mobile-first product discovery will define conversion success

Mobile commerce continues to lead eCommerce traffic, yet many discovery experiences still prioritize desktop users. Slow search results, poor filtering, and non-optimized mobile layouts can lead to high exit rates and abandoned sessions.

Mobile-first product discovery optimization is crucial. Features like sticky filters, smart search suggestions, and fast-loading product lists are key to reducing friction for mobile shoppers.

By designing discovery experiences specifically for mobile, brands can significantly improve conversion rates, boost engagement, and create a shopping journey that aligns with modern consumer behavior.

Boost offers a suite of tools that enhance the mobile shopping experience for your customers. With prebuilt layouts and templates, it simplifies the process of crafting a mobile-first product discovery journey

Effortless mobile optimization with Boost

Boost’s Visual Editor makes it easy to design responsive filter and search layouts that adjust seamlessly to different screen sizes. Its smart styling feature enhances customization, allowing you to apply styles from your chosen theme or an external URL, ensuring visual consistency across all devices.

Various filter layouts for mobile.

For those with coding expertise, the Code editor provides a platform to fully customize the look and feel of the search and filter functionality, and other elements, giving you granular control over the presentation.

Localization becomes central to global discovery strategies

As more brands expand globally through platforms like Shopify Markets, localization has become essential.. Shoppers expect product discovery that feels local, ranging from language and currency to product relevance and merchandising strategies.

Localization goes beyond simple translation. It involves adapting product visibility, ranking logic, and search behavior to match the cultural context of each market. AI-powered localization enables brands to personalize discovery experiences across regions without manual intervention.

For Shopify brands scaling internationally, localized product discovery supports stronger engagement and global sales growth.

Boost simplifies global selling by seamlessly integrating with Shopify Markets. It’s built-in translation capabilities and compatibility with third-party translation apps ensure your storefront speaks the language of your customers.

Boost also automatically syncs market data, including currencies, pricing adjustments, product availability, and language preferences, for a truly seamless, localized experience. This ensures your global customers enjoy a consistent and efficient shopping journey.

AI-powered merchandising is replacing manual strategies

Traditional merchandising approaches, such as manual product pinning or static bestseller rankings, are labor-intensive and slow to adapt to shoppers' behavior.

More eCommerce brands are shifting to AI-powered merchandising automation. These tools dynamically adjust product placement, recommend bundles, and prioritize high-performing items based on real-time data.

Boost is enhancing the Shopify merchants' sales by transforming their static storefronts into dynamic, performance-optimized experiences. With Boost’s Product Performance Ranking, your store can automatically prioritize best-selling and high-converting products, ensuring shoppers always see what’s most relevant. This intelligent feature analyzes real-time shopper behavior and sales data to re-rank products dynamically, boosting click-through rates and conversion rates without lifting a finger. It’s merchandising magic, designed to increase sales and profitability.

Features like predictive bundling and upcoming A/B testing capabilities of Boost allow merchants to optimize their merchandising, eliminating the need for manual updates.

Automated merchandising not only saves time but also ensures that discovery remains relevant and performance-driven. For shoppers, this means finding the right products faster, seeing relevant bundles at just the right moment, and enjoying a seamless, personalized discovery journey. For merchants, it leads to bigger baskets, higher conversions, and increased revenue.

Why product discovery trends matter for growth

Product discovery has evolved beyond just a search bar or filter. It’s about delivering a seamless, personalized experience that understands shopper intent and removes friction at every step.

These modern product discovery trends are shaping the future of eCommerce. Merchants who adopt these strategies will be well-positioned to create faster, smarter, and higher-converting discovery experiences.

To learn more about how Boost helps Shopify brands power intelligent product discovery through AI-driven search, dynamic merchandising, and personalization, request a demo.

Frequently asked questions

What is product discovery in eCommerce?

‍Product discovery in eCommerce is the process of guiding shoppers to the most relevant products using tools like site search, filters, recommendations, and intelligent merchandising. A well-optimized discovery experience increases engagement, conversion rates, and average order value (AOV).

Why is personalization important for eCommerce search?

‍Personalization tailors the shopping experience to each user’s behavior, preferences, and intent. By showing more relevant products and search results, it boosts engagement, improves satisfaction, and drives higher conversions.

How can eCommerce brands reduce zero-result searches?

‍To minimize zero-result searches, brands should implement AI-powered solutions with features like intent recognition, typo tolerance, synonym detection, and dynamic product recommendations. These tools ensure shoppers stay engaged - even when their original search doesn’t return exact matches.

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Ellie Ho

•

Content Marketing Specialist

May 2, 2025

•

5 min read

Is your storefront search costing you customers? How AI optimizes the modern discovery journey

Shopping shouldn’t feel like a chore

Optimize your store with Boost AI Search & Discovery

Start your 21-day free trial

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