The client is engaged in manufacturing, distribution, and marketing various food and beverage products. Their world-class portfolio of integrated businesses and brands provide high quality, trusted, and essential food and beverage products.

Major challenges for the client are – at plants spread across 4 different locations, 30000+ spare parts in the inventory with more than 20% duplicates, and multiple stock codes for the same material.The client identified various issues with their supply chain such as maverick purchases, high obsolescence and increase in non-moving inventory. The root cause of these problems is lack of a centralized inventory management and unified procurement system.In addition, there are issues with data such as lack of uniform structure, multiple stock codes, missing mandatory attributes and cryptic challenges.The client understood the problem of bad data in their existing ERP systems and the focus is to enhance data quality that fits into the new SAP ecosystem.

�ۿ۴�ý will develop a data modelling framework based on the maturity of the client’s data on existing . With the implementation of SAP, the client is expecting a digitally enabled and connected system to manage their entire supply chain.

The data modelling framework will cover – ISO 8000 compliant food industry-specific taxonomy development, data enrichment & governance processes and provide a strategy for supplier consolidation. This framework will help the client to deploy the best quality data into SAP to improve spend analytics, manage supplier consolidation and provide real-time visibility of their entire inventory across multiple plants.

A Senior Supply Chain expert will lead the project at �ۿ۴�ý assisted by a team of data experts, MRO specialists and multi-lingual translations team. The scope of the project includes:

• ISO 8000 compliant food industry specific taxonomy design
• Spare parts data cleansing and enrichment
• Onsite support to perform warehouse walk-downand crib crawl
• Supplier engagement to source parts catalogue
• Ongoing data governance support

As part of the program, a dedicated QA team will be deployedto validate 100% accuracy of data. The data production team will integrate the processed data back into the SAP systemand help obtain a precise representation of their supply chain and vendor management.

“In a highly dynamic and competitive industry, the effective supply chain management enables the client to gain sustainable and profitable growth for a better today and tomorrow. The custom-made data modelling framework specific to food industry will enable the client to derive maximum ROI from SAP by improving their forecast accuracy and mitigating supply chain risks”, says CK Bharathan, Head of Master Data Management, �ۿ۴�ý.

About �ۿ۴�ý:

�ۿ۴�ý (enventure.com) is a privately-held, ISO 9001-2015 & ISO 27001-2013 certified Master Data Management and Engineering Services company, with clients in North America, Europe, Middle East, Australia and Asia. �ۿ۴�ý has been serving clients across the globe since 1997. Today, �ۿ۴�ý is a preferred supplier of Master Data Management and Asset managementservices to companies ranging from Startups to Fortune 500, across various industry verticals such as Hi-tech Electronics, Construction, Automobile, Medical, Power & Water, Oil & Gas, and Industrial Manufacturing. �ۿ۴�ý provides a wide array of services to Clients, in areas such as Master Data Management, Asset Management, Plant Design Engineering, Building Engineering, Product Design, Technical Documentation, Component Engineering, and Environmental Compliance Support.

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Organizations today face increasing procurement costs, and even penalties due to non-compliance of material, that result from ‘MRO Taxonomy’ issues. Let’s take for example, a parallel between the taxonomy for the food industry vs generic taxonomy. Typically, in the food manufacturing industry food grade material or lubricant is vital; because the generic MRO part may contaminate the food during handling or manufacturing.

Here is an example of Taxonomy for Normal vs Food Grade materials.

Based on the different taxonomies, here is an example of how the same item’s description varies in order to meet business needs:

It is imperative for all food processing businesses to manage their taxonomy so as to indicate the food grade specific Noun Modifier(s) with detailed attributes. This also helps in segregating food grade and non-food grade . A generic taxonomy cannot be used for all food grade MRO parts, since the required/mandatory attributes may be different for a non-food grade spare part. Since the short description of a spare part is generated based on the noun modifiers and top mandatory attributes, the sequencing of such attributes is also critical.

Additionally, food grade-specific noun modifiers in the taxonomy make it easier to identify & standardize such MRO parts to leverage its impact on an overall Inventory Management System, Spend Analytics, optimized sourcing capabilities, and operational efficiencies.

At �ۿ۴�ý, we design industry-specific taxonomy and develop cataloging for clients across the globe, cutting across different industries such as pharma, life sciences, food and beverage, mining, oil and gas, power and multiple other process industries.

To learn more about best practices in , write us at info@enventure.com

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