AI-Powered Categorisation in Minutes, Not Months
Most organisations rely on spreadsheets, manual reviews, and business knowledge spread across multiple teams to categorise spend, suppliers, products, services, revenues, assets, inventory, and other operational data. AutoClass transforms messy raw data into structured, trusted information using Artificial Intelligence, Machine Learning, Supplier Intelligence, and advanced taxonomy-driven classification.
Turn unclassified data into actionable intelligence in minutes.
Why Organisations Use AutoClass
Reduce classification projects from weeks or months to hours.
Improve data quality and consistency across procurement, finance, operations, supplier management, and analytics teams.
Gain visibility of spend, suppliers, products, services, revenues, assets, or inventory.
Create a trusted data foundation for reporting, dashboards, analytics, and strategic decision making.
Identify cost reduction, supplier consolidation, and category management opportunities.
Reduce reliance on manual spreadsheets and subjective categorisation decisions.
How AutoClass Achieves High Accuracy
Supplier Intelligence
– understands what products and services suppliers typically provide.
Description Analysis
– analyses invoice descriptions, PO descriptions, product descriptions, service descriptions, and narratives.
Product & Material Codes
– uses ERP product codes, material codes, SKUs, item numbers, and reference data where available.
Business Domain Knowledge
– understands terminology across IT, HR, Marketing, Professional Services, Facilities Management, Manufacturing, Construction, Healthcare, Utilities, Logistics, and more.
Historical Learning
– uses previous classifications, supplier history, and user decisions to improve consistency.
Taxonomy Awareness
– understands category relationships, hierarchies, and multi-level classification structures.
Multi-Language Support
– translates and classifies data across multiple languages.
Machine Learning + Generative AI
– combines statistical models and advanced AI reasoning to maximise classification accuracy.
Key Features
Works with any data type and any taxonomy structure.
Supports Spend, Revenue, HR, Inventory, Assets, Procurement, Contracts, and operational datasets.
Supports industry-standard taxonomies or fully customised taxonomies.
Automatically maps and transforms source data.
Uses multiple data dimensions simultaneously for more accurate classification.
Includes a visual Rule Builder for creating repeatable classification rules.
Supports workflow approval and review processes.
Provides classification confidence scoring and AI reasoning.
Supports supplier-based categorisation and enrichment.
Visualises results in interactive grids, dashboards, and reports.
Supports multi-language classification.
Maintains a full audit trail and classification history.
Exports enriched data or continues analysis within the AnyData platform.
Business Outcomes
Understand exactly where money is being spent.
Identify supplier rationalisation opportunities.
Improve sourcing and procurement decisions.
Benchmark supplier performance within categories.
Increase compliance and reporting accuracy.
Create trusted datasets for analytics and AI initiatives.
Reduce manual effort and operational cost.
Enable category management at scale.
Choose the level of help you need.
Self Service
Hybrid Service
Managed Service
Optional Add-ons
See AutoCat AI Categorisation in action.
Book a personalised demo with our team and explore how this fits your data and processes.