Major Automotive eCommerce Network Deploys HawkSearch AI Across 2.4 Million Product Records

Rhea-AI Summary

Bridgeline Digital (NASDAQ: BLIN) announced the successful deployment of its HawkSearch AI platform for a major North American automotive eCommerce network, supporting about 2.4 million product records in one of HawkSearch's largest OpenSearch implementations.

According to Bridgeline, the customer moved from a legacy search system to HawkSearch OpenSearch, gaining Smart Search, Visual and Concept Search, AI-assisted merchandising, and personalized recommendations. Product indexing time was reduced from roughly 20 hours to 3 hours, hierarchy facet response times improved by about 91% to ~175 milliseconds, and real-time indexing was enabled. This OpenSearch rollout is Phase 1 of a multi-phase modernization in which 13 B2C sites are being migrated next, followed by B2B platforms and a planned Hybrid Search implementation.

Positive

• 2.4 million automotive product records supported in a single HawkSearch deployment
• Product indexing time reduced from about 20 hours to 3 hours
• Hierarchy facet response times improved by roughly 91% to ~175 ms
• Customer migrating 13 B2C ecommerce sites to HawkSearch OpenSearch in Phase 2
• Modernization expected to extend to B2B commerce platforms, expanding HawkSearch usage

Negative

• None.

Market Context

The AI-tagged record contained 5 events with an average move of -2.47%. Against that history, the 2....

Analysis

The AI-tagged record contained 5 events with an average move of -2.47%. Against that history, the 2.4-million-record deployment adds an operational scale datapoint; the watchpoint is whether planned site expansion becomes quantified revenue.

Key Figures

Product Records: 2.4 million product records Indexing Time: 20 hours to 3 hours Facet Response Reduction: 91% +2 more

5 metrics

Product Records 2.4 million product records Automotive eCommerce network deployment

Indexing Time 20 hours to 3 hours Product indexing improvement

Facet Response Reduction 91% Hierarchy facet response times

Facet Response Time Nearly 2 seconds to 175 milliseconds Hierarchy facet performance improvement

Additional B2C Sites 13 B2C ecommerce sites Phase 2 migration

Previous AI Reports

5 past events · Latest: Aug 06 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Aug 06	AI deployment	Positive	-9.2%	Customer launched HawkSearch after competitive evaluation across 14 Ohio locations
Aug 04	AI deployment	Positive	+0.8%	Second site launched in a five-site initiative covering 80,000 products
Jul 28	AI platform selection	Positive	+0.8%	Selected HawkSearch for 40,000-product catalog and two reference catalogs
Jul 23	AI platform selection	Positive	-3.2%	B2B distributor selected HawkSearch with Smart Response and Search Assistant
Jul 16	AI platform expansion	Positive	-1.6%	Multi-year expansion through 2029 added OpenSearch architecture and Visual Search

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Across five tag-matched AI events, the average 24-hour move was -2.47%, with both positive and negative reactions, indicating no consistent market response pattern.

Key Terms

real-time indexing, visual search, semantic search, hybrid search

4 terms

real-time indexing technical

"Enabled real-time indexing capabilities to support faster catalog updates"

A technical process that continuously updates a searchable index of information—such as prices, news, filings, or database records—as new data arrives, often within milliseconds or seconds. Think of it like a news ticker that instantly adds new headlines to a library so any search or alert returns the most current items. For investors, real-time indexing matters because it ensures searches, screens, alerts and data-driven models access the freshest information rather than outdated snapshots.

visual search technical

"The deployment includes Smart Search capabilities, Visual Search, Concept Search"

Visual search lets people use a photo or live camera view as the query instead of typing words, so software finds matching products, similar images, locations, or related information. Investors care because it can boost online shopping conversions, ads and engagement by making discovery as easy as pointing a camera—think of it as turning a storefront window into a direct purchase link—and companies with effective visual search can win customers and revenue.

semantic search technical

"growing demand for semantic search, conversational commerce"

Semantic search is a way for computer systems to find information by understanding the meaning behind words instead of just matching exact keywords. For investors, it helps surface relevant filings, news, and research even when different words or phrasing are used, so you’re less likely to miss important signals and can make faster, better-informed decisions—like asking a knowledgeable analyst who grasps context rather than scanning for specific phrases.

hybrid search technical

"implementing HawkSearch Hybrid Search, combining semantic AI understanding"

A hybrid search is a way of finding documents that combines exact keyword matching with meaning-based (semantic) matching so results include both items that contain the precise words you typed and items that discuss the same ideas using different language. For investors, it improves due diligence and monitoring by surfacing relevant filings, research or announcements that a simple keyword search might miss—think of it as looking for both the exact spellings and any close synonyms or related concepts at once.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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WOBURN, MA / ACCESS Newswire / August 18, 2026 / Bridgeline Digital, Inc. (NASDAQ:BLIN), a leader in AI-powered product discovery and eCommerce solutions, announced today the successful deployment of its HawkSearch AI platform for a major North American automotive eCommerce network. The implementation supports approximately 2.4 million product records and represents one of HawkSearch's largest OpenSearch deployments to date.

The customer selected HawkSearch's OpenSearch-based platform to modernize eCommerce search, improve indexing performance, enable real-time product updates, and establish the foundation for advanced AI-powered shopping experiences. The deployment includes Smart Search capabilities, Visual Search, Concept Search, AI-assisted merchandising tools, and personalized recommendations.

Enterprise-Scale AI Search Deployment

The deployment demonstrates HawkSearch's ability to support highly complex eCommerce environments at enterprise scale. The automotive eCommerce network manages approximately 2.4 million product records across a broad mix of automotive parts, accessories, equipment, and related product categories.

By upgrading from a legacy search infrastructure to HawkSearch OpenSearch, the customer gained enhanced scalability, real-time indexing capabilities, and access to future AI innovations across its eCommerce ecosystem.

Significant Performance Improvements

The implementation delivered substantial operational and performance enhancements. Key improvements include:

• Reduced product indexing time from approximately 20 hours to approximately 3 hours.

• Achieved a 91% reduction in hierarchy facet response times, improving performance from nearly two seconds to approximately 175 milliseconds.

• Enabled real-time indexing capabilities to support faster catalog updates and merchandising workflows.

Multi-Phase Commerce Modernization Initiative

The OpenSearch deployment represents the first phase of a broader digital commerce modernization effort.

As part of Phase 2, the customer is actively migrating an additional 13 B2C ecommerce sites to HawkSearch OpenSearch and dedicated infrastructure. Following the B2C rollout, the customer plans to extend the modernization initiative across its B2B commerce platforms, further expanding HawkSearch's footprint throughout the organization.

Phase 3 is expected to focus on implementing HawkSearch Hybrid Search, combining semantic AI understanding with traditional keyword search to deliver more relevant product discovery experiences and improved conversion opportunities across the customer's growing portfolio of commerce sites.

"This deployment demonstrates the scalability of HawkSearch's AI-powered architecture for large enterprise catalogs," said Ari Kahn, Chief Executive Officer of Bridgeline. "Organizations are increasingly modernizing their eCommerce infrastructure to take advantage of AI-driven product discovery and shopping experiences. We continue to see growing demand for semantic search, conversational commerce, AI shopping assistants, and advanced merchandising capabilities as enterprises look to improve customer engagement and accelerate online revenue growth. This implementation highlights HawkSearch's ability to deliver measurable performance improvements today while creating a foundation for future AI innovation."

About Bridgeline
Bridgeline helps companies accelerate online revenue by improving traffic, conversion rates, and average order value through AI-powered commerce technology. Its HawkSearch platform delivers advanced search, personalization, and merchandising capabilities for B2B and B2C enterprises across high-growth industries.

Learn more at: www.bridgeline.com and www.hawksearch.com.

Contact:
Kelly Maltman
SVP of Marketing
Bridgeline Digital
press@bridgeline.com

SOURCE: Bridgeline Digital

View the original press release on ACCESS Newswire

FAQ

What did Bridgeline Digital (NASDAQ: BLIN) announce on August 18, 2026?

Bridgeline Digital announced it deployed its HawkSearch AI platform for a major North American automotive eCommerce network. According to Bridgeline, this OpenSearch-based implementation supports about 2.4 million product records and forms the first phase of a broader commerce modernization initiative.

How many product records does the new HawkSearch deployment for the automotive eCommerce network handle?

The HawkSearch deployment supports approximately 2.4 million product records for the automotive eCommerce network. According to Bridgeline, these records span parts, accessories, equipment, and related categories, demonstrating HawkSearch’s ability to manage large, complex catalogs at enterprise scale.

What performance improvements did HawkSearch deliver for the automotive eCommerce customer of BLIN?

HawkSearch reduced product indexing time from about 20 hours to roughly 3 hours and cut hierarchy facet response times by about 91%. According to Bridgeline, response improved from nearly two seconds to around 175 milliseconds while enabling real-time indexing for faster catalog updates.

What future phases are planned for the HawkSearch AI rollout at the automotive eCommerce network?

Phase 2 involves migrating an additional 13 B2C ecommerce sites to HawkSearch OpenSearch and dedicated infrastructure. According to Bridgeline, the initiative is then planned to extend to B2B platforms, with Phase 3 expected to implement Hybrid Search combining semantic AI and keyword search.

How does HawkSearch AI enhance eCommerce capabilities for Bridgeline Digital’s automotive customer?

HawkSearch adds Smart Search, Visual Search, Concept Search, AI-assisted merchandising, and personalized recommendations to the customer’s sites. According to Bridgeline, the OpenSearch platform also delivers real-time indexing, improved scalability, and a foundation for future AI-powered shopping experiences.

What AI technologies are included in Bridgeline Digital’s HawkSearch platform mentioned in this BLIN news?

The HawkSearch platform includes semantic search, Smart Search, Visual Search, Concept Search, and AI-assisted merchandising tools. According to Bridgeline, it also supports conversational commerce, AI shopping assistants, and advanced personalization capabilities aimed at boosting engagement and online revenue.