Zynapse Integrity is an Artificial Intelligence-based software, which maintains the quality of master data on a continuous basis in ERP systems. It automatically classifies, extracts attributes, enriches the data, checks for duplication, and enables superior discovery of identical/alternate parts.

Both material and product master data are crucial assets for any Global 2000 manufacturing, oil & gas and utility enterprise. Master Data Management initiatives are aimed at consolidating these and have a single version of the truth.

Also, with an ever rising cross border trade, many of Global 2000 companies are faced with logistics issues with respect to import of items. To ensure on-time delivery, they have to classify products as per custom duty requirements beforehand. This drastically reduces the lead time at ports.

Consolidation of the material and product master data plays a vital role in the MDM initiative. Once the data is cleansed and enriched, companies face other challenges in maintaining the rationalized data such as:

• Creation of new entry into the master data
• Limited search capabilities of existing ERP systems
• Poor visibility across the enterprise
• Lack of information about the exact specifications of parts while entering new data
• Poor data quality of existing material and product master
• Lack of domain expertise

Zynapse Integrity, with the help of AI technology enables superior search of parts and increases adoption and compliance. It seamlessly integrates with all the leading ERP platforms. With HTS schema, Zynapse Integrity enhances the efficieny of the entire supply chain.

Key features:

• Domain expertise coupled with automated process
• Ability to create new entries in the material master data
• Attribute-based search
• Defines trade data governance policies

Benefits:

• Consistent accurate information for the existing data
• Faster turnaround due to domain expertise and automation
• Repeatable and sustainable process for HTS classification
• Visibility of data across the enterprise