7 Proven Ecommerce Search Solutions to Boost Product Discovery

Dec 17, 2025 • 31 min read

None of the 50 ecommerce search solutions got an A grade for their on-site search experience in 2025. You read that right - not even one made the cut.

The stakes are high with ecommerce sales projected to hit $8 trillion by 2027. This poor search performance isn't just a problem - it's hitting businesses where it hurts most. The numbers tell a grim story: 85% of search result pages don't have guided discovery elements. Product comparisons are missing from 76% of searches, and 58% lack dynamic filters. The situation looks even worse when you consider that only 16% of brands scored a B- or better on their post-search experience.

AI-powered ecommerce search engines are reshaping the scene by understanding what shoppers want, rather than just matching keywords. The data backs this up: 63% of all zero-result queries come from customers who use subjective or use-case-based terms. Traditional search just can't handle these queries.

Picking the wrong ecommerce platform for your B2B business is like hiring a bad leader - it doesn't just slow progress, it can throw your whole strategy off track. That's why we've done the homework and put together these 7 solutions that are getting real results in 2024.

Bloomreach: The AI-Powered Discovery, Content, and Experience Platform

Bloomreach stands out as a detailed commerce experience platform that powers over USD 200 billion in digital commerce experiences. The platform represents about 25% of retail ecommerce in the US and UK markets. Since its founding in 2009 in Mountain View, California, this digital powerhouse has altered the map of how businesses connect with their customers through customized experiences.

Bloomreach Overview

The platform's core combines three integrated products that work together to handle every aspect of ecommerce customer relationships. Loomi AI serves as the platform's foundation. This commerce-specific artificial intelligence has learned from over 13 years of ecommerce data. The AI powers Bloomreach Discovery (search and merchandising), Content (headless CMS), and Engagement (CDP and marketing automation).

Bloomreach's exceptional quality comes from its focus on understanding user intent rather than just matching keywords. The platform knows how to decode the context behind queries, which helps brands better address customer needs. This semantic understanding helps businesses identify high-value terms and tailor product suggestions and pages to individual shoppers.

Bloomreach Business Value and Outcomes

Many businesses don't deal very well with rising customer acquisition costs (CAC). Bloomreach is a chance to solve this challenge. TikTok ad costs range from USD 6.00 to USD 8.00 CPM, and Meta averages USD 6.59 CPM. These costs make optimizing the entire profitability equation significant.

Bloomreach customers have seen impressive results:

Up to 8.5% more revenue per visitor with customized search
34% revenue lift from intelligent merchandising
20% revenue boost through customized emails
23% increase in conversion rates

The platform changes six most important areas that affect unit economics. Reduced returns improve gross margins. Optimized shipping cuts operational costs. Budget-friendly discounting protects profit margins. Repeat purchases increase lifetime value. Higher conversion rates improve marketing efficiency. Smarter paid media reduces acquisition costs.

Bloomreach Technology and Integrations

Bloomreach's technical architecture uses a GenAI core that powers conversational commerce. The platform's AI thinks, anticipates, initiates conversations, explains reasoning, and learns from every interaction. This makes it different from traditional search solutions.

The platform excels at:

Conversational search that understands longer, natural language queries.
Visual search lets shoppers upload photos to find similar products.
One-to-one personalization using data from product views and add-to-carts.
A/B testing capabilities are built into the workflow.

Bloomreach combines smoothly with top shopping platforms like Shopify, BigCommerce, Magento, and Salesforce Commerce. Businesses can start using it within days without extensive custom code or development resources.

Bloomreach Market Context and Strategic Importance

Bloomreach has earned authority in ecommerce search solutions. The company became a Leader in the 2024 Gartner® Magic Quadrant™ for Search and Product Discovery. Only five technology vendors achieved this difference.

Bloomreach's 33 patents related to ecommerce search have established its leadership in intelligent product discovery. The company's market success shows in its numbers - by 2024, Bloomreach generated USD 219.50M in revenue.

Through collaboration with Shopify and other mutually beneficial alliances, Bloomreach enhances AI-driven ecommerce capabilities. These partnerships help merchants grow revenue through advanced personalization tools. This approach positions the company to keep redefining product discovery as markets move toward conversational commerce and AI-driven experiences.

Algolia: The AI-Powered Search and Discovery Platform

Algolia processes over 1.75 trillion searches each year and has become a major force in ecommerce search solutions. This AI-powered search and discovery platform helps more than 18,000 customers in 150+ countries. Their platform delivers relevant, lightning-fast results that boost conversions.

Algolia Overview

The company stands out with its end-to-end native AI-First Search and Discovery Platform built on an API foundation. The system learns non-stop by processing historical data and up-to-the-minute events as vital signals for its AI algorithms. This creates experiences users love. Algolia's platform helps businesses show the right content quickly. It understands what users want, tracks how customers interact, and personalizes their experience—all at remarkable speeds.

NeuralSearch is the essence of Algolia's technology. This AI-native SaaS-based solution lets businesses use AI-powered search with their existing stack. You retain control over the search experience to meet specific business goals. The technology works with your entire product catalog. It handles both exact matches and concept searches at once through its proprietary neural hashing engine.

Algolia Business Value and Outcomes

Businesses see remarkable results when they implement Algolia's solution. Companies of all types report these impressive numbers:

360% increased conversion rates,
35% conversion rate improvement,
10% more page views,
30% increase in conversion rates for multiple businesses,
4x conversion rate improvement in some cases.

The benefits go beyond these numbers. Companies work 100x faster and see 34% more search revenue after implementation. Forrester Research found that Algolia's platform delivers an average 382% ROI.

On top of that, NeuralSearch better understands all queries—from common searches to specific ones. This lets businesses improve their entire catalog instead of just focusing on bestsellers. The AI keeps learning what drives sales and reranks content to push better results, which creates buying urgency.

Algolia Technology and Integrations

Algolia's architecture follows an API-first approach. Developers get programmatic control over indexing, search configuration, and UI behavior. The platform handles millions of queries per second with responses under 20ms. A globally distributed infrastructure supports this speed and reliability at scale.

The platform shines with its integration capabilities. It connects seamlessly with major ecommerce platforms, including:

Shopify,
Adobe Commerce/Magento,
BigCommerce,
Commercetools,
Salesforce B2C Commerce.

The platform goes further with integrations for content management systems, data connectors (ElasticSearch, Firebase, Google BigQuery, MySQL, Supabase), and plugins for WordPress and WooCommerce. This wide network of integrations helps businesses index content quickly and launch with UI components in minutes.

Algolia Market Context and Strategic Importance

Algolia has become the go-to search solution for companies that want consumer-grade search without complex setup. The platform turns every query into a chance for conversion by combining AI, vector search, and composable APIs.

Retailers see real results. Nuts.com found that customers who search convert three times more than those who don't. They also saw a 15% increase in average order value per session. PetSmart's mobile app showed 5-7% higher conversion rates and 2% more cart additions after switching from their old search tool.

Algolia keeps redefining the limits of search and discovery as ecommerce evolves. Gartner's latest Magic Quadrant named them a leader in Search and Product Discovery for their broad enterprise-scale capabilities. With 61% of B2C organizations planning to use agentic AI within a year, Algolia is ready to grow even more.

Elasticsearch: The Open Search, Analytics, and Observability Engine

Elasticsearch leads the open-source search world as the most popular enterprise search engine that powers over 34,157 companies worldwide in 2025. The platform does much more than simple product discovery as part of the broader Elastic Stack, serving as a flexible search and analytics engine.

Elasticsearch Overview

The platform started as an open-source project based on Apache Lucene. It functions as a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. The system handles massive datasets through its distributed architecture. It splits data into shards and spreads them across nodes. This approach enables high-throughput indexing and querying with minimal delays.

Elasticsearch shines because of its adaptability and room for growth. It uses inverted indices and immediate indexing to return complex product query results in milliseconds—crucial for ecommerce applications. Businesses can define detailed product attributes like thickness, gender, categories, and tags to make filtering and sorting simple.

Elasticsearch Business Value and Outcomes

Companies looking for measurable returns see impressive results with Elasticsearch. A commissioned Forrester study shows customers achieved a 293% ROI and over USD 12.00 million in net benefits across five value categories. These benefits show up in several ways:

5% revenue improvement by year three,
90% productivity improvement in IT labor savings,
25% reduction in licensing costs,
Less than a six-month payback period on the original investment.

Real-life applications prove these benefits. A Dutch-based international retailer tripled its ecommerce website sales after using Elasticsearch to build an omnichannel customer experience. HSE boosted its website click-through rate by 4%, which improved customer satisfaction and reduced maintenance time.

Elasticsearch Technology and Integrations

The platform works as a distributed search and analytics engine optimized for speed and relevance. Its architecture offers:

Easy scaling by adding nodes as data volumes grow
Immediate indexing without rebuilding the entire index
Flexible data structures with no schema requirement
RESTful API using HTTP with JSON formatting

Elasticsearch helps ecommerce sites create personalized experiences through multiplicative boosting strategies. These strategies improve search relevance for different user segments. Products that match a user's segment move up in results naturally without affecting the underlying relevance.

The platform connects with over 300 turn-key integrations. Elastic's mutually beneficial alliances help companies turn scattered data into unified insights.

Elasticsearch Market Context and Strategic Importance

Elasticsearch captures 32.04% market share in the hosted-search category across the ecommerce technology scene. Machine Learning (1,269 companies), Software Development (1,238), and Artificial Intelligence (1,110) represent the top three industries using the platform.

Unlike SaaS-only options, Elasticsearch gives maximum customization through open-source flexibility. This makes it perfect for enterprises with dedicated development teams who need complete control. Companies often use specialized solutions for consumer-facing search while using Elasticsearch for backend analytics, observability, and custom recommendation models.

The platform's value goes beyond product search. It powers immediate analytics that help platforms offer tailored recommendations. This improves customer satisfaction and increases sales. Organizations find this versatility valuable when they want to bring their search, analytics, and observability capabilities under one technology.

Voyado: Real-Time Personalization and Predictive Search

Voyado stands as a leading customer experience platform in Nordic retail. The platform combines customer participation tools with AI-driven product discovery to turn scattered customer data into useful insights and tailored shopping experiences.

Voyado Overview

The platform shines as the top customer experience cloud built just for retailers. It has two main parts: Voyado Engage, a multichannel marketing platform that puts customer data to work, and Voyado Elevate, an AI-powered product discovery engine that lifts ecommerce search. The platform's retail-specific focus makes it unique. It naturally brings together loyalty, CRM, and product discovery in one place.

The product discovery engine goes beyond simple search. It provides immediate personalization that adapts to how each shopper behaves. The system learns from clicks, search terms, and what customers buy to show them products they'll love. The AI engine can predict what customers want before they finish typing, which makes finding products much easier.

Voyado Business Value and Outcomes

Retailers using Voyado have seen impressive results:

By Malene Birger saw 109% more full-price shoppers through tailored onboarding.
Samsøe Samsøe lifted purchases by 24.6% using loyalty data and product suggestions.
JACK & JONES saw a 33% higher average order value from loyalty members.
Obs and Obs Bygg got 4.5% more revenue from search.
POWER A/S increased customer participation by 300% through loyalty programs.

These results show how Voyado changes retailer-customer connections. The platform helps turn one-time buyers into loyal fans by creating tailored experiences at every touchpoint. Yes, it is substantial—73% of total retail sales come from customers who participate in loyalty and retention programs.

Voyado Technology and Integrations

Voyado works as both a customer data platform and loyalty engine. The technology combines customer profiles from online and physical stores to create a complete view of customer behavior. Retailers can then provide consistent experiences through email, SMS, online shopping, and in-store interactions.

The platform easily connects with:

Ecommerce platforms: BigCommerce, commercetools, SCAYLE.
Data flows: Point of Sale (POS), CRM, and ERP systems.
Marketing channels: Email, SMS, social media, and in-store systems.

The platform's predictive analytics and AI capabilities create product recommendations based on each customer's data. Multiple algorithms work together to find relevant products based on context, visitor behavior, merchandising actions, and business knowledge.

Voyado Market Context and Strategic Importance

The digital world keeps changing, and Voyado solves a big problem: the gap between what customers want and what disconnected systems can provide. AI and composable commerce will be game changers in 2025. Voyado's combined approach to customer data, loyalty, and AI helps retailers meet these new challenges.

Voyado's strategic value comes from knowing how to help retailers deliver quick, personal, and predictive shopping experiences. The Retail Radar 2025 report shows these factors are crucial. The platform changes search from a simple website feature into a direct connection between customer intent and revenue.

Ecommerce businesses that want better product discovery will find Voyado is a great way to get everything in one place instead of connecting separate systems for search, recommendations, and loyalty. By bringing these elements together, businesses can boost engagement, conversion rates, and customer lifetime value.

Klevu: NLP and Autocomplete for B2C and B2B Ecommerce

Klevu's ecommerce search solution uses natural language processing to connect shopper intent with product discovery in B2C and B2B environments. The company joined forces with Searchspring and Intelligent Reach under the new Athos Commerce brand, which altered the map of how online retailers connect customers with products through AI-driven search experiences.

Klevu Overview

The platform stands out as an advanced ecommerce site search solution that uses natural language processing and self-learning capabilities to deliver accurate results contextually. The technology adds relevant synonyms to product catalogs, which helps retailers connect shoppers to exact products, whatever the query complexity. This lets Klevu understand complex search queries and match results more accurately than traditional keyword-based systems.

Klevu serves different customer profiles:

Complex B2C retailers like Toolstop and Made.com
Fashion retailers, including Victoria Beckham and Helly Hansen
High-volume retailers such as PUMA and Liverpool FC
B2B specialists, including Alimed, LeCot, and Ingredients Online

The platform goes beyond simple search functionality and offers category merchandising capabilities that let retailers create tailored shopping experiences across their site.

Klevu Business Value and Outcomes

Implementing Klevu brings substantial business results, with customers reporting up to a 46% increase in sales after adoption. This performance boost comes from Klevu's understanding of shopper intent through AI and machine learning technologies.

Klevu's presentation of hyper-relevant products leads to conversion rates jumping above 25%. Shoppers become three to five times more likely to convert when they find in-stock, relevant products quickly. Grenson Shoes, one of Klevu's 3,000 retail customers, explains how the platform will give them "a way to promote the right products to the right customer at the right time".

Retailers can reduce supply chain challenges by suggesting similar items when products are out of stock, which helps customers maintain their basket value despite inventory limitations.

Klevu Technology and Integrations

Klevu's technical foundation rests on several key technologies:

NLP and Machine Learning: The system learns from shoppers' interactions continuously and optimizes results based on clicks and purchase behavior.
Smart Autocomplete: Machine learning and NLP power this feature that analyzes user search behavior to provide real-time suggestions as users type.
Merchandising Control: The platform offers three types of boosting—global, rule-based, and keyword-level—giving retailers precise control over product visibility.
Analytics Dashboard: Live View provides real-time heat maps showing product movement, while Word Graph helps identify connections between keywords to optimize marketing.

The platform provides "quick and easy plug-n-play integration" for mainstream ecommerce platforms. Direct integrations exist with Shopify, BigCommerce, and Magento, plus compatibility with any platform that can provide an XML product feed. Headless implementations work with popular front-end frameworks, including React, Next, Vue, and Angular.

Klevu Market Context and Strategic Importance

Klevu holds approximately 0.1% market share in the Web Content Management category. Small businesses make up most of their customer base (56% have fewer than 50 employees), while 8% are large enterprises with over 1,000 employees.

The platform positions itself as a solution for intent-driven search in both B2C and B2B environments. It offers natural language processing, smart autocomplete, and merchandising features. The company has raised over USD 17.50 million, including a USD 12.00 million Series A round to launch its Discovery Suite, an end-to-end solution that captures shopper intent to boost conversions and loyalty.

Klevu's strategic importance comes from its specialized ecommerce AI, developed for retail applications in 45 different industries and 30 languages. This dedicated focus helps address the conversion challenge in ecommerce, where only 2.72% of website visits turn into purchases.

Constructor.io: AI-Driven Merchandising and Personalization

Constructor has developed an ecommerce search and discovery platform specifically tailored to retailers' unique needs with "AI in its DNA". The platform stands out from generic search solutions because it understands shopping intent better.

Constructor.io Overview

Constructor uses clickstream data with transformers, large language models (LLMs), and advanced AI technologies. These tools help decode search intent and natural language queries instantly. The platform ranks product results dynamically to match individual-specific experiences based on user profiles, behavior, and priorities. Customer satisfaction improves with this approach, which leads to better brand loyalty and sales.

Constructor.io Business Value and Outcomes

Constructor's solution shows consistent performance metrics in a variety of retail categories:

9% increase in search revenue,
15% boost in revenue per user,
5% lift in revenue per visit,
Overall ROI of 20.07X.

The numbers tell only part of the story. Home24 saw double-digit growth in search conversions, while Maxeda DIY Group achieved a 4% increase in add-to-carts. Clients also get advanced A/B testing capabilities that show experience effectiveness without complex data analysis.

Constructor.io Technology and Integrations

The platform's architecture follows an API-first approach with both frontend and backend integration options. Frontend integration works best because browsers connect directly to Constructor's globally distributed servers. This setup reduces latency and delivers results within milliseconds.

The platform connects seamlessly with major ecommerce platforms:

Shopify
Commercetools
Magento
Salesforce Commerce

Constructor also works with PIMs like Akeneo, CMSs including Contentstack and Contentful, and frontend platforms such as Alokai and Builder.io.

Constructor.io Market Context and Strategic Importance

Constructor serves about 100 customers as a boutique enterprise solution. Major retailers like Target Australia, Petco, and Bonobos trust the platform. This focused approach helps maintain its impressive 98.5% client retention rate in the last three years.

The platform's value comes from its transparency. Unlike "black box" AI solutions, Constructor shows all search algorithms and optimization opportunities through its merchandising dashboard. This openness, combined with its revenue-driven approach, makes Constructor a trusted partner for retailers who want to turn product discovery into a revenue powerhouse.

Zoovu: Conversational Discovery and Guided Selling

Zoovu turns static product catalogs into interactive, customized shopping trips through its AI-powered platform. The platform combines search, guided selling, and product configuration in one unified solution. This detailed approach helps shoppers find the perfect product match with confidence. The solution tackles a basic problem - 97% of shoppers leave ecommerce sites empty-handed because they feel overwhelmed by choices.

Zoovu Overview

The platform builds product finders, quizzes, and advisors that guide buyers through customized recommendation flows. It copies the expertise of top sales representatives online. The AI interprets customer inputs, behavior, and context to understand their needs better. Zoovu helps solve the "choice paralysis" problem by making complex product decisions simple.

Zoovu Business Value and Outcomes

Companies using Zoovu's solution see impressive results:

Conversion rates jump up to 18%.
Average order value rises by 65%
Some implementations show a 200% boost in conversions.
Retail environments see 27% more in-store revenue.

To cite an instance, KitchenAid solved its awareness challenges with Zoovu product advisors and visual configurators. These tools showcased product bundles and let customers quickly customize their perfect set.

Zoovu Technology and Integrations

The unified platform offers several key features:

The AI search that understands natural language and buyer intent.
Guided selling flows that mirror human guidance.
Visual configurators to build bundles and kits.
Data enrichment tools that standardize attributes.

The platform combines smoothly with major ecommerce platforms, PIMs, ERPs, and CRMs. Strategic collaborations with SAP, Microsoft Azure, and Shopware help quick implementation in technology ecosystems of all sizes.

Zoovu Market Context and Strategic Importance

FTV Capital led Zoovu's USD 169 million Series C funding round in 2022. This investment shows strong confidence in its product discovery approach. The platform helps customers generate over USD 25 billion in yearly sales. Millions of consumers interact with its discovery experiences daily. Zoovu meets the growing demand for guided, customized shopping experiences that bring in-store guidance to the digital world.

Comparison Table

Solution	Core Features	Key Technologies	Integration Capabilities	Reported Business Outcomes	Market Position/Recognition
Bloomreach	- AI-powered discovery & merchandising - Headless CMS - CDP & marketing automation	- Loomi AI - Conversational commerce - Visual search	- Shopify - BigCommerce - Magento - Salesforce Commerce	- 8.5% revenue increase per visitor - 34% revenue lift from merchandising - 23% increase in conversion rates	- Leader in 2024 Gartner Magic Quadrant - Powers $200B in digital commerce - 33 patents in ecommerce search
Algolia	- End-to-end AI-First Search - NeuralSearch - Up-to-the-minute personalization	- API-first architecture - Neural hashing engine - Sub-20ms response times	- Shopify - Adobe Commerce/Magento - BigCommerce - Commercetools - Salesforce B2C	- 360% increased conversion rates - 35% conversion improvement - 382% average ROI	- 1.75 trillion searches annually - 18,000+ customers - Leader in Gartner Magic Quadrant
Elasticsearch	- Distributed search - Analytics engine - Up-to-the-minute indexing	- Apache Lucene-based - Inverted indices - RESTful API	- 300+ turn-key integrations - Support for multiple data sources	- 293% ROI - 90% IT labor savings - 25% reduction in licensing costs	- 32.04% market share in hosted-search - Powers 34,157+ companies globally
Voyado	- Up-to-the-minute personalization - Predictive search - Loyalty integration	- Customer data platform - AI-powered discovery - Unified customer profiles	- BigCommerce - Commercetools - SCAYLE - POS systems	- 109% increase in full-price shoppers - 24.6% boost in purchases - 33% higher AOV	- Leading platform in Nordic retail - Focus on retail-specific solutions
Klevu	- NLP-powered search - Smart autocomplete - Category merchandising	- Natural language processing - Machine learning - Analytics dashboard	- Shopify - BigCommerce - Magento - Headless frameworks	- Up to 46% increase in sales - 25% conversion rate - 3-5x likelihood to convert	- 0.1% market share in Web Content Management - 3,000+ retail customers
Constructor.io	- AI-driven search - Up-to-the-minute personalization - Advanced A/B testing	- Transformers - Large language models - API-first approach	- Shopify - Commercetools - Magento - Salesforce Commerce	- 9% increase in search revenue - 15% boost in revenue per user - 20.07X ROI	- 98.5% client retention rate - ~100 major retail customers
Zoovu	- Conversational discovery - Guided selling - Product configuration	- AI search - Visual configurators - Data enrichment tools	- SAP - Microsoft Azure - Shopware	- 18% increase in conversion rates - 65% boost in AOV - 200% increase in conversions	- $169M Series C funding - $25B+ annual sales through platform

Conclusion

The right e-commerce search solution can turn frustrated shoppers into happy customers who easily find what they want. Recent studies show a concerning trend - not one of 50 e-commerce solutions earned an A grade in search performance.

These seven platforms each bring something special to the table. Bloomreach's commerce-specific Loomi AI draws from 13 years of e-commerce data. Algolia's neural hashing engine produces quick results. Elasticsearch gives users complete control through its open-source structure. Retailers benefit from Voyado's combined search and loyalty features. Klevu uses NLP to process complex search queries. Constructor.io shows users exactly how its search algorithms work. Zoovu helps customers make choices through guided selling.

These solutions make a real difference to the bottom line. Bloomreach helps businesses earn 8.5% more revenue per visitor. Some Algolia users see their conversion rates jump by 360%. Elasticsearch gives businesses a 293% return on investment. On top of that, these platforms do more than just basic search - they cut down returns, improve merchandising, and create customized customer experiences.

E-commerce sales will reach $8 trillion by 2027, making your choice of search solution vital to success. B2C retailers with complex catalogs might find Klevu's NLP capabilities helpful. Elasticsearch could work well for enterprises that need extensive customization. Companies wanting unified customer profiles should look at Voyado's approach.

Modern e-commerce search goes beyond matching keywords. It understands what customers want, predicts their needs, and helps them find products easily. These seven solutions show how AI-powered search turns browsers into buyers through relevant results, customization, and quick responses. Good search technology builds stronger connections between customers and brands.