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Custom Big Data Analytics Platform for Logistics Data Integration and Real-Time Insights

yalantis

Logistics

Supply Chain Management

Technology

Challenges in Data Aggregation and Analysis for Logistics Operations

The client faced fragmented data from multiple sources (customer logs, IoT devices, RFID tags, supply chain systems), leading to operational inefficiencies. Key issues included siloed data accessibility, inability to process unstructured data, and lack of real-time analytics capabilities, hindering decision-making and customer satisfaction.

About the Client

A logistics services provider prioritizing shipment visibility and operational optimization to enhance customer loyalty and market competitiveness.

Key Objectives for the Big Data Analytics Solution

Centralize data from disparate sources into a unified analytics platform
Enable real-time data processing and visualization for supply chain optimization
Improve predictive analytics and decision-making through machine learning integration
Enhance data security and governance across all system layers
Reduce operational costs by streamlining data workflows

Core System Functionalities and Key Features

Multi-source data ingestion pipeline (IoT, RFID, ERP systems)
Layered data storage architecture (raw, cleaned, curated zones)
Automated ETL processes for data normalization
Interactive BI dashboards for real-time supply chain visibility
Machine learning models for predictive analytics
Role-based access control and encryption for data security

Technologies for Implementation

AWS Kinesis Data Firehose

Amazon S3

AWS Glue

Amazon EMR

Amazon QuickSight

AWS SageMaker

AWS Lake Formation

Required System Integrations

IoT device data streams
RFID tracking systems
Third-party supply chain management software
Customer relationship management (CRM) platforms

Non-Functional Requirements

Horizontal scalability for growing data volumes
Sub-second latency for real-time analytics
Enterprise-grade data encryption and access governance
High availability with 99.9% uptime SLA
Compliance with GDPR and HIPAA standards

Expected Business Impact of the Big Data Analytics Implementation

The solution will enable 360-degree supply chain visibility, reducing operational costs by 20-30% through data-driven optimizations. Enhanced predictive capabilities will improve delivery accuracy by 40%, while centralized data governance will reduce compliance risks. Real-time analytics will support faster decision-making, directly increasing customer satisfaction scores by 25% within the first year.