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AI-Powered Supply Chain Visibility and Optimization Platform
  1. case
  2. AI-Powered Supply Chain Visibility and Optimization Platform

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AI-Powered Supply Chain Visibility and Optimization Platform

appinventiv.com
Manufacturing
Logistics
Engineering

Supply Chain Visibility and Efficiency Challenges

The client's decentralized supply chain lacks end-to-end visibility, resulting in increased transportation costs, manual error resolution related to goods receipts and sales orders, and delays in business processes. Their existing systems struggle with unstructured data and diverse input formats, hindering efficient operations and scalability.

About the Client

A US-based global manufacturer of heavy construction and mining equipment with a significant international operational footprint across North America, Europe, and Australia.

Project Goals

  • Achieve 60% increase in supply chain visibility.
  • Reduce transportation and logistics costs by 40%.
  • Increase overall operational efficiency by 30%.
  • Automate manual supply chain processes.
  • Improve data accuracy and reduce errors related to goods receipts and sales orders.
  • Enable proactive issue resolution through root cause analysis.

Functional Requirements

  • Real-time supply chain tracking and monitoring.
  • Automated data validation and error resolution.
  • Robotic Process Automation (RPA) for manual task automation.
  • Advanced data analytics and reporting.
  • Root cause analysis for operational inefficiencies.
  • Workflow management and automated notifications.
  • Integration with existing ERP and mainframe systems.

Preferred Technologies

Robotic Process Automation (RPA)
Data Analytics Platform
AI/Machine Learning
Cloud-based architecture
API Integration

Required Integrations

  • Mainframe system integration
  • Existing ERP system integration
  • Warehouse Management System (WMS) integration
  • Transportation Management System (TMS) integration

Non-Functional Requirements

  • Scalability to support future growth.
  • High performance and responsiveness.
  • Robust security measures to protect sensitive data.
  • Data privacy and compliance.
  • User-friendly interface.

Expected Business Impact

This project is expected to significantly improve the client's supply chain efficiency, reduce operational costs, enhance customer satisfaction through faster product deployment, and empower employees to focus on higher-value activities. The increased visibility and automation will lead to better decision-making and a more agile supply chain.

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