The new platform offers self-service, API, and white label options to help businesses and partners classify product and service data faster with enterprise-grade accuracy.
AICA Data International, a specialist provider of product data intelligence solutions, announced the launch of a new AI-powered product classification platform designed to simplify and accelerate classification across UNSPSC and GS1 GPC standards. The platform forms part of AICA’s extensive classification services, allowing organizations to choose the implementation model that best suits their needs, including a self-service portal, developer-ready APIs, and white-label deployment for partners and service providers.
Companies across mining, manufacturing, energy, retail, and distribution continue to face significant operational challenges posed by inconsistent and unstructured product and service data. Classification projects remain time-consuming and costly when handled manually, often resulting in reduced accuracy, duplicate records, and limited visibility into spend. AICA’s new platform is built to address these realities with an enterprise-grade classification suite that combines automation, validation, and a scalable delivery model.
Designed for speed, accuracy, and real-world data complexity
AICA’s classification platform uses proprietary machine learning models trained on industrial and enterprise product datasets to deliver up to 95%+ AI accuracy (depending on data quality) while processing 40,000 to 6,000,000 items per hour. All outputs include actionable confidence scores to help teams focus review efforts on less confident classifications and maintain consistent quality at scale.
The platform automates the most time-consuming elements of classification and supports optional expert validation, reducing reliance on manual coding, accelerating time to value and lowering project costs.
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Flexible implementation model for enterprises and partners
To support different operational requirements and maturity levels, AICA’s platform is available through four major models.
full service model
AICA combines AI automation and expert validation to manage the classification process end-to-end, ensuring enterprise-grade output quality and consistent governance across large datasets. Many organizations want to start with full service and move to self-service or APIs for continuous classification.
self-service platform
Organizations can upload product or service data through a secure web-based portal, quickly receive confidential output, and review results using built-in validation tools. This model is ideal for teams looking for speed and automation while maintaining internal control of their data governance workflows.
API model
AICA’s API enables real-time or high-volume classification integrated directly into enterprise systems such as ERP, EAM, PIM, and MDM platforms. Supports continuous classification and enrichment workflows for organizations that want to incorporate classification into their data operations and onboarding processes.
White label platform for partners
AICA also offers a white-label option that allows system integrators, consultants, and data service providers to deploy the classification platform under their own branding. This will enable partners to provide high-speed classification services to their customers while leveraging AICA’s industrial-grade AI technology in the background.
Built-in quality control and validation
Unlike traditional classification tools that rely primarily on classification mapping, AICA’s platform incorporates multiple layers of quality control designed for enterprise environments, including:
- Confidence score for all classification outputs
- Guided standard selection for increased precision and context
- Automatic web validation of part numbers improves fill rates and reliability when supplier descriptions are incomplete.
- Custom dictionaries and client-specific terminology improve the accuracy of internal naming conventions and supplier aliases.
- Human verification, available if required in high risk or regulated categories
This combination of automation, validation, and optional expert QA is designed to deliver consistent classification quality without the time and cost burden of large manual teams.
Supporting business value beyond classification
AICA’s classification platform also includes tools to quantify business value, helping stakeholders build ROI cases and compare approaches. Many organizations that implement automatic classification see improvements in:
- Spend visibility and category reporting
- Supplier integration and procurement efficiency
- Reduce duplicate records
- Catalog consistency across ERP and procurement systems
- Maintenance planning and inventory accuracy
- Rapidly respond to AI, analytics, and digital transformation efforts
“Classifying companies has historically been slow, expensive, and inconsistent,” said Isak Marais of AICA. “This new platform provides organizations and partners with a faster and scalable way to classify and structure product and service data using global standards such as UNSPSC and GS1 GPC. This includes flexible delivery models, quality control, and the ability to embed classification directly into enterprise workflows.”
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