In this project, I had to combine advanced predictive analytics with a user-centered approach to redefine supply chain management. This application aims to connect people, streamline processes, and create seamless communication channels in a complex industry. The project was guided by the vision of making supply chain operations more efficient and intuitive, from ideation to implementation.

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Information Gathering

I identified critical stakeholders as retailers, delivery personnel, and customers. I also determined the necessary data for predictive analytics, such as historical delivery times, traffic data, and weather conditions.

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Approach

To improve delivery processes, it was important to understand how predictive analytics can be utilized. This involved analyzing data to identify patterns and insights that can be used to make predictions about future outcomes. In addition, it was essential to establish a clear communication channel with stakeholders to ensure any issues that arise during the delivery process can be addressed in a timely manner. By combining the power of predictive analytics with effective communication, I can improve the delivery processes and ultimately, provide better service to their customers.

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Design & Mapping

I created a flow demonstrating the process from estimating delivery to resolving issues. Low-fidelity wireframes emphasize functionality, with high-fidelity mockups featuring an intuitive and clean UI design.

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System Components Overview

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Establishing a communication channel for stakeholders to address delivery issues.

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In my process I imagined that establishing a communication channel for stakeholders could be achieved through a dedicated platform or app within the solution. This platform could have features like:

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Real-Time Chat: Enable instant messaging between stakeholders to discuss and resolve delivery issues as they arise.

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Notification System: Alert stakeholders about potential delays or issues.

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Issue Tracking: Allow stakeholders to log, track, and resolve delivery-related issues.

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Shared Dashboard: Display real-time data on deliveries, issues, and resolutions.

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Steps from delivery estimation to issue resolution.

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1 - Delivery Estimation

Collect and analyze data. Predict delivery times using the analytics model.

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2 - Monitoring

Monitor real-time data for deviations.

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3 - Issue Identification

System flags potential issues. Notifications sent to stakeholders.

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4 - Collaboration

Stakeholders discuss the issue in the collaboration platform.

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5 - Issue Resolution

Assign tasks to resolve the issue. Monitor resolution progress.

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6 - Feedback Loop

Collect feedback for continuous improvement.

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Low Fidelity Wireframe

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High Fidelity Wireframe

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Here’s a breakdown of the dashboard sections

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Delivery Performance Indicator

Shows the current percentage of deliveries made on time, with trend indicators highlighting improvement or decline from the previous period.

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On-Time Delivery Rate Graph

A time-based line graph indicating the percentage of on-time deliveries over the past week, with predictions for the next day to aid in planning.

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Average Delivery Time Chart

This graph shows the daily average delivery time, allowing for tracking of performance and identifying days with unusual delays.

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Alerts Section

Notifications: Alerts users to external factors affecting delivery times, prompting proactive measures.

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Estimated Delivery Tracking Table

Lists individual orders with expected dates and times, status bars visually representing delivery risk, and actions to manage these orders.

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Live Updates Feed

A dynamic feed where staff can post updates, such as traffic or delivery issues, providing real-time situational awareness.

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Real-time Tracking Map

Offers a live geographical view of delivery vehicles, including status updates and alerts for immediate traffic or weather conditions affecting the route.

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Financial Insights Section

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Cost Per Delivery and Revenue Per Delivery Metrics: Summarizes key financial figures to monitor profitability and operational efficiency.

Savings Indicator: Highlights the financial impact of improvements or investments, like GPS tracking technology.

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Operational Insights Widgets

Provides at-a-glance metrics on operational factors like traffic impact, weather delays, peak order times, and the perfect order rate.

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Desktop Dashboard Design

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📱 Mobile Application

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This design focuses on ease of use and efficient information dissemination, ensuring delivery personnel are well-equipped to handle their daily tasks effectively.

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Schedule‍

Displays upcoming delivery details, such as Delivery ID, address, time window, package details, and special instructions. Provides customer information including name and contact number.

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Includes a "Start Route" button for easy navigation to the next delivery location.‍

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Real-time Tracking Map‍

Shows the current location of the delivery vehicle on the map. Alerts for any traffic delays with details about the incident, time reported, and expected impact on the route.

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Route List

Lists all deliveries with Delivery Number, scheduled time window, destination address, and current status.Each delivery has a "Start Route" button for route commencement and a progress bar for completed deliveries, with an option to view detailed reports.

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Report an Issue

Allows reporting of on-road issues directly through the app with pre-set categories such as Traffic Delay, Vehicle Trouble, and Accident Near Route.Includes an "Other" option for issues that do not fit the pre-set categories.

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Navigation Bar

Quick access to the Home screen, Routes, Issue reporting, Messages, and More options.This bottom navigation bar ensures that all important features are just a tap away for efficient app navigation.

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Mobile Application Design

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📱 Customer Interface
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This customer interface is designed for efficient and informative user experience. It is designed to keep customers informed and in control of their delivery experience.

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Delivery Tracking Overview

Centralized location for all delivery-related information. Real-time updates and status visibility.

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Order Information

Order #‍

Displays the specific order number for user reference.

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Time

‍Provides the expected arrival time of the delivery.

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Address

Confirms the delivery destination for user verification.

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Delivery Status

Indicates the current progress of the delivery.Visual progress bar and status indicator ("On Track") for at-a-glance updates.

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Driver Information and Contact

Displays the assigned driver's name and photo for personalized touch.

Direct contact option for the driver if needed.

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Additional Actions

View Details

Allows users to see more detailed information about their delivery.

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Report a Problem

Users can report any issues with their delivery directly through the app.

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Support Section

Direct access to help and support features.

Links to customer service and frequently asked questions (FAQ).

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The proposed solution combines advanced predictive analytics with a robust collaborative interface to provide retailers with an effective tool for predicting on-time deliveries and managing delivery-related issues. Continuous learning from delivery outcomes and customer feedback ensures the system improves over time, offering more accurate predictions and enhancing the customer experience.