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Description
Convermax's search engine is adept at interpreting queries, such as recognizing 'cotton' as a material, 't-shirt' as a category, and 'under $50' as a price constraint in the phrase "cotton t-shirt under $50." In a similar vein, it identifies '52"' in the query "52" lcd" as the size specification for a television, and it can also recognize the alternative phrasing "52 inch lcd," providing identical results. Furthermore, with Convermax, an autocomplete suggestion bar appears in the search interface, delivering immediate recommendations to users based on their input. These suggested queries, products, and categories are all derived from your store's unique data and search history. As the autocomplete function aggregates more search information, it becomes increasingly intuitive and relevant, enabling customers to locate products more quickly and effortlessly. Additionally, the filter panel can dynamically show or conceal various sections based on the chosen category or other specified criteria, allowing for a customizable shopping experience. This adaptability helps ensure that the layout aligns with what is most logical for particular product categories, enhancing user satisfaction.
Description
Organizations now have the capacity to implement search, browsing, and recommendation features comparable to Google's on their own online platforms, which can help boost conversion rates and minimize the likelihood of search abandonment. By utilizing advanced Google-like search functionalities, businesses can effectively lower search abandonment rates. The shopping experience is significantly enhanced by allowing users to search for products using images, making the process more intuitive. Personalization of the shopping journey can also lead to improved conversion rates and higher order values. With tools like Retail Search and browse, retailers can create tailored experiences rooted in Google's insights into user intent and context. Additionally, Recommendations AI is adept at interpreting the subtleties of customer behavior, context, and product specifics, facilitating meaningful engagement across various channels through targeted recommendations. Furthermore, leveraging machine learning-driven object recognition and lookup enables the provision of immediate results for similar or complementary products from the inventory. This combination of advanced technologies not only enriches the user experience but also positions organizations to better meet consumer needs in a competitive marketplace.
API Access
Has API
API Access
Has API
Integrations
Shopify
Affirm
AmeriCommerce
BigCommerce
Coveo
Google Analytics
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Google Merchant Center
Integrations
Shopify
Affirm
AmeriCommerce
BigCommerce
Coveo
Google Analytics
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Google Merchant Center
Pricing Details
$250 per month
Free Trial
Free Version
Pricing Details
$2.50 per 1000 requests
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Convermax
Founded
2011
Country
United States
Website
convermax.com
Vendor Details
Company Name
Country
United States
Website
cloud.google.com/solutions/retail-product-discovery