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FedEx Smalls Process Optimization

A business process optimization case study demonstrating workflow analysis, process mapping, operational analytics, and automation recommendations.


Project Overview

This project evaluates an existing small package sorting process and proposes an optimized future-state workflow designed to improve operational efficiency, reduce manual bottlenecks, and increase package throughput.

The analysis applies business analysis methodologies to identify inefficiencies within the current process and develop a technology-driven solution that aligns with operational goals.


Business Objective

The objective of this project was to answer one question:

How can package sorting operations become faster, more accurate, and more efficient while reducing manual labor and operational delays?


Current-State Analysis

The existing process relies heavily on manual labor throughout the package sorting operation.

Challenges Identified

  • Manual package sorting
  • Human sorting errors
  • Package misloads
  • Conveyor bottlenecks
  • Overflowing sorting bins
  • Reduced employee productivity
  • Safety concerns from package overflow
  • Delayed package processing

Future-State Solution

The redesigned workflow introduces automation and smart technology to improve efficiency across the operation.

Proposed Improvements

  • Automated package sorting
  • Smart sorting bins
  • Barcode-driven routing
  • Real-time bin capacity monitoring
  • Improved package tracking
  • Reduced manual handling
  • Improved labor utilization
  • Lower package misloads

Business Analysis Methods Used

  • Business Process Mapping
  • Current-State vs Future-State Analysis
  • Workflow Optimization
  • Process Improvement
  • Operational Analysis
  • Root Cause Analysis
  • KPI Identification
  • Business Requirements Analysis

Key Performance Indicators

KPI Business Value
Packages Sorted per Hour Measures productivity
Packages Bagged per Hour Measures labor efficiency
Misloads per Day Measures quality
Throughput Measures operational capacity
Labor Utilization Measures workforce efficiency

Expected Business Impact

  • Increased operational efficiency
  • Reduced manual bottlenecks
  • Improved package accuracy
  • Reduced package misloads
  • Improved employee productivity
  • Increased package throughput
  • Better operational decision-making

Process Maps

Existing Workflow

Existing Workflow


Optimized Workflow

Optimized Workflow


Skills Demonstrated

  • Business Analysis
  • Business Process Modeling
  • Process Mapping
  • Workflow Analysis
  • Operational Analytics
  • Process Improvement
  • Lean Thinking
  • Business Intelligence Concepts
  • KPI Development
  • Systems Analysis

Tools Used

  • Microsoft Visio
  • Microsoft Word
  • Business Process Modeling
  • Process Documentation
  • Workflow Design

Repository Contents

📊 Workflow Diagrams

📄 Business Process Report


About This Project

This project was completed as part of graduate-level business analytics coursework and demonstrates practical application of business analysis principles to improve enterprise operations through process redesign and data-driven decision making.


Contact

Nathan Corpus

Aspiring Business Analyst | Data Analyst | Operations Analyst

About

Business process improvement project demonstrating workflow analysis, business process modeling, KPI analysis, operational analytics, and automation recommendations to optimize package sorting operations.

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