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Description
Ecoveritas integrates its specialized knowledge in Extended Producer Responsibility with Ecohub, a secure platform for EPR data management, and Ecoview, an environment for analyzing packaging data, to assist companies in navigating packaging compliance while transforming their reporting data into valuable insights. Ecohub collects and organizes various data types, including sales, purchases, suppliers, and packaging details, while also facilitating data validation and cleaning processes. This robust platform lays the groundwork for unique EPR calculation models that accurately convert validated information into material weights and outputs that are ready for submission across various regulatory frameworks. Anomalies are identified through cross-referencing historical records and packaging data, and verified sample weights help to bridge any gaps in supplier data, ensuring comprehensive datasets are maintained. Furthermore, Ecoview enhances the analytical capabilities of this data, enabling teams to scrutinize packaging at the component, supplier, and material levels and make projections about future EPR obligations and regulatory expenses. This comprehensive approach not only supports compliance but also empowers businesses to make informed decisions based on their packaging practices.
Description
Ensuring adherence to compliance standards for Substances of Very High Concern (SVHC) presents a continuous challenge for businesses involved in the production of chemicals or products that contain them. The manual approaches currently in use are increasingly becoming cumbersome and complicated due to the rise in regulatory demands and the complexities of the supply chain, making scalability a significant issue. Companies must efficiently scale up and manage increased workloads, particularly during product launches and submission periods. Additionally, navigating intricate and extensive supply chains requires persistent communication and coordination with suppliers. To address these challenges, APA Engineering, leveraging over 19 years of expertise in product chemical compliance and supported by a worldwide client network, has developed a web-based SaaS solution designed to minimize costs and time while enhancing compliance reporting. The Greencheck software streamlines and automates many essential aspects of product chemical compliance, allowing users to obtain chemical composition details with a single click. Vendors can conveniently upload information directly, even through Excel files, enabling comprehensive compliance reporting through a unified dashboard that consolidates all relevant product chemical regulations, thus making compliance more manageable and efficient for all stakeholders involved. This innovative approach not only simplifies the compliance process but also significantly enhances the overall effectiveness of supply chain management.
API Access
Has API
API Access
Has API
Integrations
Microsoft Excel
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Ecoveritas
Founded
1999
Country
United Kingdom
Website
www.ecoveritas.com
Vendor Details
Company Name
APA Engineering
Country
United States
Website
apaengineering.com/chemical-regulatory-compliance/software/echa-scip-database/
Product Features
Product Features
Chemical
Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis