SUCCESS STORY

This case showcases a successful digital transformation, where PLYN’s AI Agent reorganized three years of fragmented Legacy ERP receiving data (26,139 rows across 606 items) into a sourcing-group structure ready for strategic analysis within just five hours—automatically identifying cost-reduction opportunities

Aerix rebuilds 3 years of ERP receiving data into an AI-powered sourcing classification structure

Aerix · PLYN Success Case



 

26,139 rows · 606 items automatically reclassified

AI-driven master data rebuild time: 5 hours

Automatic identification of cost-reduction items · Potential savings calculated

Company Background & Pre-Implementation Challenges

Before

  • • Three years of receiving data managed only with simple item name/spec fields
  • • Data structure unsuitable for strategic analysis by equipment/process/material attributes
  • • No system-based method to identify which items are cost-reduction candidates
  • • Wanted to utilize existing ERP data without new investment, but internal manpower required excessive time for redefinition

After · with PLYN

  • • AI Agent rebuilds master data using a sourcing-Class framework of over 50,000 categories
  • • Reorganized into sourcing groups that include equipment, processes, raw materials, similarity, and supply-chain attributes
  • • Automatically identifies high-potential cost-reduction item groups across all 606 items
  • • Simulates potential savings considering constraints such as lead time, quality, and substitutability
PLYN Process & Time Required

STEP 01

Data Collection & Cleansing

Approx. 1 hour

Extracting 3 years of receiving data (26,139 rows) from the legacy ERP,
then cleansing based on item name, spec, supplier, and unit price to match the PLYN format.

STEP 02

AI-Driven Master Data Reconstruction

Approx. 5 hours

AI Agent automatically classifies items using more than 50,000 sourcing Classes,
rebuilding master data from an equipment/process/material perspective. (Approx. 95% accuracy)

STEP 03

Cost-Saving Opportunity Discovery & Simulation

Approx. 2–3 hours

Analyzes price variance, purchasing patterns, and substitutability per sourcing group
to automatically identify candidate items and calculate potential savings.

PLYN Implementation Summary
  • • Large-scale legacy ERP data reorganized into a structure ready for strategic sourcing analysis
  • • Achieved digital-transformation benefits without replacing the existing ERP system
  • • Significant reduction in manpower/time previously required for master-data redefinition
  • • Serves as foundational data for future cost-reduction projects, supplier restructuring, and sourcing strategy development

Quote

“Thanks to PLYN, we were able to reorganize our existing ERP data into a structure suitable for strategic analysis—without discarding any data. The biggest change is that we can now instantly see which items have cost-reduction potential.”

Aerix Purchasing & Strategy Planning Lead

PLYN Consultation

Hidden savings opportunities lie within your data.
Rediscover the value of your ERP with PLYN.

PLYN reinterprets your legacy ERP data with AI,
supporting sourcing-group analysis, savings discovery, and supplier strategy—end-to-end.


 

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