Designing an ERP for a multinational business—like a European/US HQ with manufacturing and Quality Control handled by subcontractors in Asia (Vietnam/China)—is a logistical puzzle. You need real-time updates from the factory floor, QC reports from the supplier, and shipping details, all visible instantly in your London office.
But what if Artificial Intelligence (AI) could design your perfect system?
How AI Simplifies Global Supply Chain ERP Design:
1. Automated SOPs & Workflows!
Forget sifting through mountains of old documents. Modern AI, powered by Natural Language Processing (NLP), can analyze your existing emails, meeting notes, and process guides to learn how your business actually operates.
The AI can automatically generate:
– Simple SOPs (Standard Operating Procedures): Clear, step-by-step workflows for every team member.
– Visual Business Workflows: Detailed diagrams showing how an order flows from HQ, through your Asian subcontractor, production, QC, and back into your system.
This leads to a faster setup, fewer errors, and a system that truly matches your operations!
2. Expert Verification and mapping with platform
The AI-generated SOPs are then verified and adjusted by an expert ERP consultation team to fit the platform selected (e.g., Dynamics 365, SAP, Odoo, Sage, etc.).
The entire implementation project can then kick off efficiently using the Agile methodology.
Current NLP AI is mainly focus on the content reorganization / high level approach which cannot make accurate decision and configuration to fit the ERP scope, therefore human interaction is required on this stage,
If the current sample data / user actions have over 500-2000+ from the existing ERP system, then ML AI may be applied to generate some common rules for the automated action ( purchase / stock transfer ) based on the last 500-1000 recent actions from users. This can be done as the next phase for the project.
#ERP #SupplyChain #Manufacturing #AI #DigitalTransformation
