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Vexture Search: AI Powered Ecommerce Search Built Into Miva
Vexture Search: AI Powered Ecommerce Search Built Into Miva
Visit Miva: https://www.miva.com/vexture
Subscribe to Miva’s YouTube: https://youtube.com/mivainc?sub_confirmation=1
Miva is redefining ecommerce search with Vexture Search, a native AI powered search experience designed to eliminate one of the most common conversion killers in online stores: zero search results. In this video, Miva CEO Rick Wilson introduces Vexture Search and explains how it fundamentally changes how shoppers find products, how merchants increase revenue, and how ecommerce platforms should handle search in a modern AI driven world.
Traditional ecommerce search relies heavily on keyword matching. When shoppers use natural language or vague intent driven queries, standard search tools often fail, returning empty result pages that lead to frustration and lost sales. In fact, over 30 percent of searches on typical ecommerce sites result in zero results. Vexture Search was built to eliminate this problem entirely by understanding shopper intent rather than relying solely on keyword matches.
During beta testing, merchants using Vexture Search experienced an average 40 percent increase in daily sales. This lift comes from improved product discovery, faster results, and a search experience that feels intuitive rather than mechanical. Instead of forcing shoppers to guess which keywords a store uses internally, Vexture Search interprets what shoppers mean and surfaces relevant products automatically.
In the demo shown in this video, a large ecommerce catalog with approximately 90,000 SKUs is used to highlight the difference between traditional keyword search and Vexture Search. A common phrase like “gift for my wife” returns no results in legacy search systems because it does not match structured product data. Once Vexture Search is enabled, that same query instantly produces relevant, purchasable gift options based on shopper intent rather than exact wording.
One of the key advantages of Vexture Search is that it is fully native to the Miva platform. Unlike third party search tools, Vexture Search is faster, more stable, and easier to configure because it is built directly into the ecommerce infrastructure. Merchants do not need to rely on external services or fragile integrations to deliver high quality search results.
Vexture Search is also the first release in a broader family of AI capabilities being introduced by Miva. This foundation enables future AI driven merchandising, personalization, and conversion optimization features that work seamlessly together inside the platform.
Case Study Highlights
Merchants participating in the Vexture beta saw measurable gains quickly. By eliminating dead end searches and guiding shoppers toward relevant products, stores increased engagement, reduced bounce rates, and achieved an average 40 percent increase in daily sales without changing their product catalogs or marketing strategies.
Who Vexture Search Is Built For
Vexture Search is ideal for merchants with large or complex catalogs, high SKU counts, and shoppers who use natural language rather than exact product terms. It is especially powerful for B2B sellers, apparel brands, automotive parts retailers, and any business where traditional search struggles to keep up with real customer behavior.
Frequently Asked Questions
What makes Vexture Search different from traditional ecommerce search?
Vexture Search uses AI driven intent matching instead of relying only on keyword matches, allowing it to understand what shoppers are trying to find even when phrasing is vague or unconventional.
Is Vexture Search a third party integration?
No. Vexture Search is fully native to the Miva platform, which improves speed, reliability, and ease of configuration.
Does Vexture Search require constant tuning?
No. Vexture Search is designed to be configured once with minimal ongoing maintenance, unlike traditional search engines that require constant manual tuning.
How can merchants enable Vexture Search?
Merchants can enable Vexture Search by visiting the Vexture page on Miva’s website, contacting their Miva account manager, or calling Miva support directly.
What kind of results can merchants expect?
Based on beta data, merchants can expect significant improvements in product discovery and measurable increases in revenue driven directly by better onsite search performance.
#Miva #EcommerceSearch #Vexture
Timestamps
00:00 Intro
00:04 Introduction to Vexture Search
00:10 Why Traditional Ecommerce Search Fails
00:18 The Problem With Zero Search Results
00:29 How Vexture Search Eliminates Empty Results
00:34 Real World Sales Impact From Vexture Beta
00:40 Demo Overview of a Large Miva Store
00:53 Example of Failed Keyword Based Search
01:08 How Intent Based Search Works
01:13 Live Demo With Vexture Search Enabled
01:28 Why Native Search Matters
01:38 How to Enable Vexture Search
01:50 What’s Next for Vexture and AI at Miva
Видео Vexture Search: AI Powered Ecommerce Search Built Into Miva канала Miva
Visit Miva: https://www.miva.com/vexture
Subscribe to Miva’s YouTube: https://youtube.com/mivainc?sub_confirmation=1
Miva is redefining ecommerce search with Vexture Search, a native AI powered search experience designed to eliminate one of the most common conversion killers in online stores: zero search results. In this video, Miva CEO Rick Wilson introduces Vexture Search and explains how it fundamentally changes how shoppers find products, how merchants increase revenue, and how ecommerce platforms should handle search in a modern AI driven world.
Traditional ecommerce search relies heavily on keyword matching. When shoppers use natural language or vague intent driven queries, standard search tools often fail, returning empty result pages that lead to frustration and lost sales. In fact, over 30 percent of searches on typical ecommerce sites result in zero results. Vexture Search was built to eliminate this problem entirely by understanding shopper intent rather than relying solely on keyword matches.
During beta testing, merchants using Vexture Search experienced an average 40 percent increase in daily sales. This lift comes from improved product discovery, faster results, and a search experience that feels intuitive rather than mechanical. Instead of forcing shoppers to guess which keywords a store uses internally, Vexture Search interprets what shoppers mean and surfaces relevant products automatically.
In the demo shown in this video, a large ecommerce catalog with approximately 90,000 SKUs is used to highlight the difference between traditional keyword search and Vexture Search. A common phrase like “gift for my wife” returns no results in legacy search systems because it does not match structured product data. Once Vexture Search is enabled, that same query instantly produces relevant, purchasable gift options based on shopper intent rather than exact wording.
One of the key advantages of Vexture Search is that it is fully native to the Miva platform. Unlike third party search tools, Vexture Search is faster, more stable, and easier to configure because it is built directly into the ecommerce infrastructure. Merchants do not need to rely on external services or fragile integrations to deliver high quality search results.
Vexture Search is also the first release in a broader family of AI capabilities being introduced by Miva. This foundation enables future AI driven merchandising, personalization, and conversion optimization features that work seamlessly together inside the platform.
Case Study Highlights
Merchants participating in the Vexture beta saw measurable gains quickly. By eliminating dead end searches and guiding shoppers toward relevant products, stores increased engagement, reduced bounce rates, and achieved an average 40 percent increase in daily sales without changing their product catalogs or marketing strategies.
Who Vexture Search Is Built For
Vexture Search is ideal for merchants with large or complex catalogs, high SKU counts, and shoppers who use natural language rather than exact product terms. It is especially powerful for B2B sellers, apparel brands, automotive parts retailers, and any business where traditional search struggles to keep up with real customer behavior.
Frequently Asked Questions
What makes Vexture Search different from traditional ecommerce search?
Vexture Search uses AI driven intent matching instead of relying only on keyword matches, allowing it to understand what shoppers are trying to find even when phrasing is vague or unconventional.
Is Vexture Search a third party integration?
No. Vexture Search is fully native to the Miva platform, which improves speed, reliability, and ease of configuration.
Does Vexture Search require constant tuning?
No. Vexture Search is designed to be configured once with minimal ongoing maintenance, unlike traditional search engines that require constant manual tuning.
How can merchants enable Vexture Search?
Merchants can enable Vexture Search by visiting the Vexture page on Miva’s website, contacting their Miva account manager, or calling Miva support directly.
What kind of results can merchants expect?
Based on beta data, merchants can expect significant improvements in product discovery and measurable increases in revenue driven directly by better onsite search performance.
#Miva #EcommerceSearch #Vexture
Timestamps
00:00 Intro
00:04 Introduction to Vexture Search
00:10 Why Traditional Ecommerce Search Fails
00:18 The Problem With Zero Search Results
00:29 How Vexture Search Eliminates Empty Results
00:34 Real World Sales Impact From Vexture Beta
00:40 Demo Overview of a Large Miva Store
00:53 Example of Failed Keyword Based Search
01:08 How Intent Based Search Works
01:13 Live Demo With Vexture Search Enabled
01:28 Why Native Search Matters
01:38 How to Enable Vexture Search
01:50 What’s Next for Vexture and AI at Miva
Видео Vexture Search: AI Powered Ecommerce Search Built Into Miva канала Miva
vexture search vexture ai search ecommerce site search problems why ecommerce search fails Vexture #vexture AI ecommerce search Miva Merchant Miva #miva miva.com ecommerce site search optimization ecommerce product search AI search for online stores semantic search ecommerce ecommerce AI tools AI powered site search vexture miva vexture miva vexture search Miva ai search
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