Integrated Supply Chain Data Platform for Enhanced Management & Analytics

The client faces difficulties in manual data collection and consolidation from over 100 sources, including Excel sheets, PDF files, and contractor systems, leading to inefficiencies and data inaccuracies. These challenges hinder timely decision-making and operational oversight across the supply chain.

A mid-to-large scale multinational company specializing in the manufacturing and distribution of fast-moving consumer goods, operating across numerous countries with a diverse portfolio of brands.

• Automate the collection and integration of data from multiple heterogeneous sources to reduce manual workload by over 900 hours per month.
• Create a structured, unified data repository that ensures high data integrity and supports advanced analytics.
• Develop real-time dashboards and monitoring tools to visualize supply chain metrics, identify deviations promptly, and facilitate informed decision-making.
• Implement multi-level user access controls to cater to different management roles and operational groups.
• Enable anomaly detection and alerts to proactively address data inconsistencies or supply chain disruptions.

• Automated data ingestion pipelines from diverse sources including spreadsheets, PDFs, and contractor systems.
• A centralized dashboard with customizable filters and real-time data updates.
• Support for detailed supply chain monitoring, including supply plans, delivery statuses, and key performance indicators.
• Alerting mechanisms for deviations from planned metrics or data anomalies.
• Role-based access control for different employee groups.
• Historical data archiving with version control to facilitate trend analysis.

• APIs or connectors to integrate with supplier and contractor systems.
• File import modules for Excel and PDF data ingestion.
• Notification systems for alert dissemination.
• User authentication systems for role-based access control.

• Scalability to support increasing data sources and growing data volume.
• Real-time data update capability with minimal latency.
• Robust data validation and anomaly detection to maintain high data quality.
• Security features including role-based permissions and data encryption.
• High system uptime and reliability to support continuous operations.

The implementation of the integrated supply chain data platform aims to significantly reduce manual data processing efforts by over 900 hours per month, improve data accuracy and timeliness, and enable proactive supply chain management through real-time monitoring and anomaly alerts. The system will enhance strategic decision-making and operational efficiency, ultimately supporting increased supply chain responsiveness and competitiveness.