Data categorization

Data Cleansing & Categorization

Improved data quality and spend transparency backed by machine learning and futur-proof data categorization
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Our data cleansing and data categorization software provides an innovative toolset to categorize spend and consolidate suppliers intelligently and at speed.

How we support you

Achieve sustained data categorization and enrichment

Simplify and fast-track the data enrichment process by categorizing and consolidating your spend base automatically and intelligently to unlock new data-led insights and analytics.
Provide an all-in-one solution for all your categorization needs
Automatically categorize spend and consolidate your supplier base within hours.
Remove duplicate suppliers from your spend base
Identify your most important suppliers and help reshape your strategic partnerships.
Work in a cloud-based application
No time-consuming installation is required and regular updates are available to ensure always up-to-date data.
Reduce manual categorization time
Use mature machine learning capabilities and a sophisticated supplier knowledge base to reduce time spent on manual categorization.
Take ownership of your data
Shine a light on categorization and create, validate, and browse categorization tasks at ease.
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By leveraging our machine learning-based pre-data categorization capability and analyzing five million invoice line items, we were able to unlock immediate savings opportunities in a category analysis engagement for a multinational construction company.

Nripesh Sen, Product Specialist

Our matching algorithm in detail

Supplier Name Harmonization
Our cleansing algorithm removes all irrelevant terms and auto-corrects supplier names ingested from client ERP systems, significantly improving the accuracy of categorization.
Supplier Matching & Token Categorization
The multi-step matching algorithm uses all available ERP data fields to ensure the best possible matches and works in multiple languages.
Similarity Mapping Model
Our algorithm recognizes similar suppliers and proposes to map them to the same category using a recommendation engine including confidence scores.
Prediction of future categorization
A classification engine learns from each categorization decision through supervised learning, down to the material line-item level, to predict the right category for yet uncategorized spend.

Our Capabilities

Data categorization, machine learning, and actionable spend insights.

Our data cleansing, data categorization and classification tool combines data, engineering, machine learning, and proprietary procurement insights.

Data
  • An industry-leading knowledge base of several hundred million suppliers
  • Maps to any taxonomy and comes pre-matched with industry standards such as UNSPSC taxonomy
Technology
  • Fully automated user-friendly platform and front-end
  • Leverages AI algorithms such as clustering and similarity matching
  • Highly scalable and time-efficient implementation of algorithms
  • Seamless integration into the Data Categorization & Data Management Engine to enable mapping to any client-specific taxonomy
Insights
  • Identifies and consolidates duplicate suppliers
  • Maps all supplier entities to their parent companies on multiple levels to enable analytics on each level of supplier hierarchy (“supplier harmonization”)
  • Industry-leading categorization algorithm to automatically match spend to categories using supplier knowledge base and artificial intelligence
  • Provides unmatched granularity of categorization down to material level, enabling unrestricted rules based on any available criterion

Connect with the Spendscape team

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