Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Establish clear standards within class libraries to ensure an efficient transfer of information from the outset of the project, while also aligning data needs with external systems. Implement recognized best practices for handling various taxonomies within a class library. Utilize industry, corporate, or regional layers and constructs to effectively model information in classes, both functional and physical, along with attributes at various tiers. Leverage the facility or project standards layer to inherit the aforementioned layers of information, enabling the easy development of project-specific standards. Additionally, present your class library in multiple languages to cater to a diverse multilingual workforce or clientele. Set foundational quality assurance criteria focused on compliance, consistency, and completeness, which should be clearly outlined in the established standards. With quality rules in place, you can develop a digital asset solution framework that will serve as the basis for constructing your dashboard or reports, providing timely status updates. Such a comprehensive approach will not only streamline processes but also enhance communication and understanding among all stakeholders involved in the project.
Description
Atronous serves as an AI-driven Product Data Intelligence Engine designed to create, confirm, and activate accurate product information for brands, manufacturers, distributors, and retailers alike. This platform converts unrefined and partial data into organized, ready-for-channel product information suitable for enterprise systems, search engines, recommendations, and AI-driven commerce solutions. By automating the ingestion of data from various formats such as PDFs, spreadsheets, images, drawings, CAD files, APIs, and live feeds, it effectively normalizes, validates, and standardizes records on a large scale. Its AI-enhanced features are capable of generating missing attributes, enriching product descriptions, identifying both complementary and compatible products, and ensuring alignment with retailer-specific taxonomies. In addition, a deterministic constraint validation engine rigorously verifies product records across over 400 categories to guarantee adherence to GS1 standards, marketplace requirements, and identifier regulations. The comprehensive approach taken by Atronous not only streamlines product data management but also enhances the overall quality and reliability of the information provided to users.
API Access
Has API
No
API Access
Has API
No
Integrations
AVEVA Connect
Yes
Amazon
No
Amazon Web Services (AWS)
No
Decorify
No
Dropbox
No
Google Cloud Platform
No
Mirakl
No
Shopify
No
Snowflake
No
Walmart
No
Integrations
AVEVA Connect
No
Amazon
Yes
Amazon Web Services (AWS)
Yes
Decorify
Yes
Dropbox
Yes
Google Cloud Platform
Yes
Mirakl
Yes
Shopify
Yes
Snowflake
Yes
Walmart
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
AVEVA
Country
United Kingdom
Website
www.aveva.com/en/products/information-standards-manager/
Vendor Details
Company Name
atronous
Founded
2023
Country
United States
Website
atronous.ai/
Product Features
Product Data Management
Bill of Material Management
No
Document Management
No
Formula Management
No
Product Analytics
No
Product Lifecycle Management
No
Testing Management
No
Version Control
No
Product Features
Product Data Management
Bill of Material Management
No
Document Management
No
Formula Management
No
Product Analytics
No
Product Lifecycle Management
No
Testing Management
No
Version Control
No