Supply Chain Management

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Supply Chain Management

Efficient supply chain management relies on well-maintained core master data for procure-to-pay processes, (including Materials, Services, Vendors, Customers), inventory verification, and optimization. These elements contribute to generating non-repetitive, relevant, and precise transactional data. When both the master and transactional data are effectively managed, they foster a robust supply chain management system, particularly in the maintenance, repair, and operations (MRO) domain.

Master Data

Codification & Cataloguing
Codification: Involves assigning unique logical codes to identify Master Data such as materials, services, vendors, customers, and more.
Involves creating descriptions and specifications for the master data using standards like UNSPSC, MESC, and HARMONIZED.
Cleansing & Enrichment
Cleansing: Cleansing refers to the process of re-structuring existing master data by applying a naming convention or classification schema to legacy data. This helps in eliminating redundancies, inconsistencies, and inaccuracies in the master data, leading to improved data integrity and reliability.
Enrichment: Master Data enrichment refers to the process of enhancing and augmenting existing master data with additional information to improve its quality, completeness, and usefulness.


De-duping involves identifying and removing duplicate entries from the existing master data.
Governance encompasses the maintenance of master data, including tasks such as creating, amending, and deleting entries.

Solution: eNOMCAT

Case Study: Material Master Cleansing

Cleanse existing material master using Noun Modifier and Attributes and implement eNOMCAT software, for a leading integrated Oil & Gas Company in Middle East. Read More

Case Study: Service Master

Prepare Service master in line with the ERP structure, for one of the leading Metallurgical Company in India. Read More


Physical Verification (Physical vs ERP/Book Stock)
Physical identification of discrepancies in quantity and specification and cross-verify with ERP and Book Stock data.
Inventory Optimization
The task involves identifying stock movement, conducting ABC, XYZ, VED, and FSN analysis, and providing recommendations for optimal inventory levels, including safety stock, reorder level, reorder quantity, and maximum level.
Solution: PRISM
SPIR (Spare Parts Interchangeability Record)
Reviewing the recommended parts and quantities provided by the supplier.
Solution: SPICA
Case Study: Inventory Optimization (PRISM)

Optimization of inventory using PRISM involving inventory analysis, Fixing Inventory levels, and identifying excess and under stock items, for one of the largest Oil & Gas company in Asia. Read More

Major Clients