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Development of an End-to-End Digital Data Visualization Platform for Delivery Operations
  1. case
  2. Development of an End-to-End Digital Data Visualization Platform for Delivery Operations

Development of an End-to-End Digital Data Visualization Platform for Delivery Operations

robosoftin.com
Logistics
Supply Chain
Transport

Identifying Key Data Visibility Gaps Impacting Delivery Performance

The client faces challenges in tracking and analyzing delivery performance in real-time due to reliance on manual data analytics and absence of a centralized dashboard. This hampers effective decision-making, monitoring of Service Level Agreements (SLAs), and overall operational efficiency.

About the Client

A mid-sized last-mile delivery service provider aiming to optimize operational visibility and performance tracking across multiple delivery channels.

Establish Clear Objectives for Enhanced Delivery Data Insights

  • Develop a centralized, scalable data visualization platform to enable real-time tracking and analysis of delivery operations.
  • Improve data visibility for stakeholders to monitor overall company performance and vertical-specific metrics.
  • Automate performance measurement and SLA tracking to reduce manual effort and increase accuracy.
  • Enhance decision-making capabilities for leadership through intuitive, user-friendly reports and dashboards.
  • Increase operational efficiency and productivity by providing real-time insights and comprehensive analytics.

Core Functional Features and Capabilities for Delivery Data Platform

  • Real-time order journey tracking and SLA monitoring for improved service accountability.
  • User management features for access control and role-based permissions.
  • Account performance dashboards providing an overview of individual business units.
  • Stakeholder login interface supporting multiple user roles and secure access.
  • Analytics modules for tracking overall company performance metrics.
  • Vertical-specific dashboards for in-depth business segment analysis.

Preferred Technologies and Architectural Approaches for Data Visualization Platform

Backend development using NodeJS or similar server-side frameworks.
Frontend developed with modern JavaScript frameworks (e.g., Angular, React) for interactive dashboards.
Cloud-based deployment architecture supporting scalability and high availability.

External Systems and Data Source Integrations for Seamless Data Flow

  • Integration with existing delivery management systems for real-time data ingestion.
  • APIs connecting to third-party logistics tools for order and SLA data synchronization.
  • Secure authentication and identity management systems for user access control.

Key Non-Functional Requirements for System Performance and Security

  • System should support at least 100 concurrent users with cap on performance degradation.
  • Real-time data processing and visualization with latency less than 5 seconds.
  • High security standards, including data encryption and role-based access control.
  • Scalable architecture capable of handling increasing data volume over time.

Projected Business Benefits from Implementing the Data Visualization Platform

The implementation of the digital delivery data platform is expected to significantly improve operational visibility, enabling real-time decision-making and SLA adherence. It aims to transition from manual, offline reporting to an automated, digital environment, increasing productivity, enhancing stakeholder reporting, and supporting scalable growth. Expected benefits include improved delivery performance monitoring, reduced manual reporting effort, and better strategic insights for business expansion.

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