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Overview:
AutoClass is an Artificial Intelligence (AI) based automated classification software that can handle both item descriptions and supplier names, providing accurate and granular categorization codes. The software can process high volumes of data, in any language, of any quality and provide accurate classification codes in any classification schema such as UNSPSC, NATO, eClass or even a customer proprietary code structure.
AutoClass is designed to run in a completely hands-free environment, integrated with Data Warehouses (such as SAP BW, PeopleSoft SCDW, etc.) as a data-quality software tool, or embedded within e-Procurement systems. Using patented AI methods, AutoClass provides far superior classification results in terms of consistency and accuracy, as compared to alternate methods of 'mapping'. Real-world spend data is often cryptic, incomplete, and inaccurately described in most transaction systems, and thus necessitates the use of AI technology for accurate classification. The AI based self-learning and iterative model building mechanism adds the required flexibility that enhances the products classification performance over a period of time.
For more details on Zycus AutoClass download a consolidated brochure
 AutoClass Datasheet (234 KB) |
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In batch configuration, AutoClass delivers high volume classification of bulk files at throughputs exceeding 150K records per hour. This configuration is ideal for integration behind an ETL tool and the DW staging area. Using a scheduler function, AutoClass automatically processes batch data files as they are extracted from source systems and transferred to the warehouse. |
In live-connect configuration, AutoClass delivers high-speed classification in real-time to single-item queries that emanate from source systems, such as eProcurement requisition portals. Using flexible integration APIs, AutoClass live-connect can be embedded behind eProcurement systems such as ARIBA, SAP SRM, etc. providing accurate, on-the-fly commodity classification to purchase requisitions. |
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- Automated Approach -
Provides consistency in classification, higher throughput and classification accuracy over a manual effort.
- AI based technology -
Provides for a closed loop learning mechanism, which improves the tool's performance over a period of time in the form of increased classification accuracy.
- Accuracy -
AutoClass is capable of classifying short and poor descriptions, supplier name abbreviations, wrongly spelt words, which are the characteristics of real world commodity and master data.
- Language and Taxonomy independent -
It can be used for classifying into any schema like UNSPSC, eClass, NATO or even to customer's custom schema and it can classify data in any language. It can be trained in any industry vertical.
- Task Scheduling -
This is a key feature for classification on varying time tables. With an easy-to-use GUI, AutoClass can be scheduled to access files from designated Internet/Intranet locations via FTP.
- Real-time classification - A
AutoClass Live Connect, the real-time classification module of the core product can be integrated with existing eProcurement or purchasing systems for classification and coding of transaction records right at source.
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