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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 
WooCommerce 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 
WooCommerce 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 

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