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Supply Chain Data Integration and Real-Time Analytics Dashboard Development

dataforest.ai

Consumer products & services

Retail

Logistics

Current Challenges in Supply Chain Data Management

Manual processing of 100+ unstructured data sources (Excel, PDF) consumes 900+ monthly hours, leading to delayed reporting, inventory mismanagement, and missed market opportunities. Existing systems lack real-time visibility and predictive capabilities across supply chain operations.

About the Client

British-Dutch transnational company focused on production of FMCG products, operating in 190 countries with over 400 brands and €50 billion turnover

Key Project Objectives

Integrate 100+ disparate data sources into unified platform
Automate manual reporting processes with real-time dashboards
Implement predictive analytics for demand forecasting (targeting 88%+ accuracy)
Reduce stockout incidents by 0.9% through intelligent inventory management
Enable role-based access to supply chain data across management levels

Core System Functionalities

Multi-source data ingestion (Excel, PDF, APIs, POS systems)
Dynamic filtering and visualization dashboard
Anomaly detection and alert system
Role-based access control (executive, manager, analyst views)
Predictive modeling for demand forecasting
Automated report generation and distribution

Technology Stack Requirements

ReactJS

Django

Pandas

PostgreSQL

AWS

System Integration Requirements

Supplier ERP systems
Point-of-sale terminals
Payment gateways
Inventory management systems
Third-party logistics APIs

Non-Functional Requirements

Scalable architecture for 10M+ daily transactions
99.9% system availability with failover mechanisms
Data encryption and GDPR compliance
Response time under 2 seconds for dashboard interactions
Automated data validation and error recovery

Expected Business Impact

Projected reduction of 900+ monthly manual hours through automation, 88% demand forecasting accuracy enabling optimized inventory levels, and real-time decision-making capabilities. Implementation will maintain competitive advantage through predictive insights and secure 0.9% stockout reduction, directly impacting revenue and operational efficiency.