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Data Analytics Business Intelligence And Reporting - Cases Logistics

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AI Driven Logistics And Supply Chain SolutionsBlockchain Solutions For LogisticsClaims Processing And ManagementCompliance Safety Security And Risk ManagementCustomer Relationship And Experience Management In LogisticsData Analytics Business Intelligence And ReportingDigital Transformation And Process AutomationDocument, Content & Asset ManagementField Service & Workforce Management SolutionsFinancial Quoting And Cost Management In LogisticsFleet Management And TelematicsIoT and Remote Operations PlatformsIoT Device And Asset Management PlatformsIoT Smart Home And Connected DevicesLogistics Marketplaces And Booking SystemsMobile First Applications and User EngagementOperational & Resource Management SystemsParking Urban Mobility And EV Charging SolutionsPlatform Modernization Migration And IntegrationProcess Automation & Optimization ToolsProcess Workflow and Document AutomationRealTime Tracking And Monitoring SystemsService Booking And Operations PlatformsSpecialized Industry And Niche SolutionsSpecialized Mobile Logistics ApplicationsSupply Chain Execution And Visibility PlatformsTelematics IoT And UBI PlatformsTraining & Simulation PlatformsTransportation Operations ManagementWarehouse And Inventory Optimization
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Data Analytics Business Intelligence And Reporting

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Development of a Scalable Smart Mobility Data Analytics Ecosystem with Real-Time Traffic Insights

Government

Unified analytics platform for ingestion, processing, and visualization of multimodal mobility data

Apache Spark, GeoMesa, GraphX...
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AI Filter Development Platform Enhancement & Team Collaboration Tool Implementation

Information technology

The system should provide a unified framework for AI filter development, improved project management tools for task tracking and collaboration, comprehensive documentation capabilities, and automated testing features.

Python (Backend), React with TypeScript (Frontend), Docker (Deployment)...
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Develop Scalable Big Data & BI Platform for Logistics Optimization

Logistics

The new BI system must provide data extraction, transformation, and loading capabilities from various data sources, create a centralized data mart, and deliver actionable insights through interactive dashboards and reports. Data quality validation is crucial throughout the process.

BI Server (e.g., Tableau, Power BI, Qlik Sense), ETL Tools (e.g., Informatica, Talend, Azure Data Factory), Data Mart Server (e.g., SQL Server, Snowflake, Amazon Redshift)...
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Logistics Data Analytics Platform Implementation

Logistics

The system must provide automated data extraction, transformation, and loading (ETL), data modeling, reporting, and data visualization capabilities to enable efficient data analysis and business intelligence.

Microsoft BI Stack (SSIS, data warehouse, reporting tools)
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AI-Powered Email Processing and Offer Extraction System

Logistics

The system must automatically process incoming emails, identify and extract transport offer data (including pricing, dates, destinations, and contact information), and present this data to users through a web application. It should also provide analytics capabilities based on extracted data.

Altkom AI Assist, AWS Lambda, AWS Step Functions...
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Microservices Architecture Implementation for Logistics Platform

Logistics

The system must support core logistics operations, including transportation management, warehouse management, order processing, tracking, and reporting, with enhanced scalability and maintainability.

Java, Docker, Kubernetes...
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Development of a Geospatial Asset Tracking and Performance Dashboard

Logistics

The system will provide a web-based geospatial dashboard displaying asset locations and KPIs, offering customizable views and data updates.

JavaScript, HTML, C#...
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RFID Gateway Coverage Prediction Web Application

Information technology

The web application will allow users to upload or define floor plans, configure RFID gateway parameters (power, antenna type), and visualize predicted coverage areas. It will also provide data-driven insights into potential coverage gaps.

React (Front-end), Node.js (Back-end), PostgreSQL (Database)...
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