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Average Ratings 0 Ratings
Description
Atomz serves as an intelligent catalog management platform tailored for Shopify sellers, functioning on two main levels. The Catalog Genius feature conducts audits and enhances product information in accordance with the Shopify Standard Product Taxonomy, ensuring that structured attributes are available for AI shopping agents such as ChatGPT, Perplexity, and Google AI Mode, which rely on this data to provide product recommendations. Meanwhile, AI Search and the AI Shopping Assistant transform this structured information into a more intuitive experience on the merchant's storefront through natural language, intent-based search and a personalized shopping assistant, moving beyond simple keyword matching. Additionally, AI Insights evaluates how well a store's catalog is prepared for AI interactions, monitoring search performance and visibility while identifying overlooked products and the reasons behind these gaps. Atomz seamlessly integrates with Shopify and accommodates catalogs of any scale, offering maximum benefit to merchants with extensive or rapidly evolving inventories where maintaining metadata manually is impractical. This innovative approach not only enhances the shopping experience but also empowers merchants to optimize their product visibility in an increasingly competitive market.
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
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Shopify
Yes
Coveo
No
Google Analytics
No
Google Cloud BigQuery
No
Google Cloud Platform
No
Google Cloud Storage
No
Google Merchant Center
No
Google Tag Manager
No
Lucidworks Fusion
No
Quantiphi Conversational AI
No
Integrations
Shopify
Yes
Coveo
Yes
Google Analytics
Yes
Google Cloud BigQuery
Yes
Google Cloud Platform
Yes
Google Cloud Storage
Yes
Google Merchant Center
Yes
Google Tag Manager
Yes
Lucidworks Fusion
Yes
Quantiphi Conversational AI
Yes
Pricing Details
$199
Free Trial
Yes
Free Version
Yes
Pricing Details
$2.50 per 1000 requests
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Atomz
Founded
2024
Country
United States
Website
www.atomz.ai/
Vendor Details
Company Name
Country
United States
Website
cloud.google.com/solutions/retail-product-discovery