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Wealthport

by Onedot · Since 2014
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SoldAvailable globallyCloud
Quick facts
VendorOnedot
Year launched2014
StatusSold
LocationBadenerstrasse 47, Zurich, 8004, CH
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About Wealthport

Onedot is an AI-powered product data management and transformation platform that helps organizations extract, structure, classify, enrich, and distribute product information from multiple fragmented sources to improve product onboarding speed, data accuracy, and digital commerce performance.

Onedot is designed to help organizations manage large volumes of product data efficiently by automating the entire lifecycle of product information transformation. The platform uses artificial intelligence models trained on hundreds of millions of product records to automatically mine data from sources such as supplier websites, PDF catalogs, product sheets, and unstructured documents. Once extracted, the system cleans, normalizes, and enriches the data before mapping it to classification standards like ETIM, ECLASS, GS1, UNSPSC, or TecDoc. This structured product data can then be distributed to ERP systems, product information management platforms, ecommerce systems, and retailer marketplaces. Onedot also enables collaboration between companies and suppliers through a dedicated supplier portal where product data can be validated, edited, and approved within a single workflow. The platform supports product variant generation, asset management, text extraction, and the creation of a “golden record” by consolidating information from multiple sources. By automating previously manual processes, organizations can significantly reduce onboarding time, improve product listing quality, and ensure consistent product data across digital sales channels.

Pros & Cons

Pros
  • Automates product data onboarding reducing manual work and operational data processing costs
  • Extracts product information from multiple fragmented sources including PDFs websites
  • Improves product data quality leading to better ecommerce search and conversions
  • AI trained on millions of products improves classification accuracy significantly
Cons
  • Implementation may require configuration for complex product catalogs and classifications
  • Requires clean supplier data sources to achieve maximum automation accuracy
  • Organizations may need training to fully utilize AI-driven product workflows
  • Advanced AI automation features may require enterprise-level subscription pricing plans

Features

Key features

AI Product Data Processing

Uses trained AI models to automate product data extraction and transformation.

Supplier Collaboration Portal

Enables suppliers and teams to collaborate on product onboarding workflows.

Product Variant Generation

Automatically creates and groups product variants for improved catalog organization.

Automated Product Classification

Maps product attributes to standardized classification frameworks automatically.

Product Data Mining

Extracts structured product information from websites, catalogs, PDFs, and documents.

Additional features

Product Variant Automation

Automatically generates and groups multiple variants of product listings.

Automated Classification Mapping

Aligns product information with global classification standards automatically.

Supplier Collaboration Portal

Enables centralized supplier onboarding and product data validation.

AI Data Processing Engine

Uses machine learning to automate product data extraction.

Content Mining Technology

Extracts product attributes from supplier websites, catalogs, and files.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
1
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD

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