CLASSIFIED OPERATION

PHANTOM
SHIPMENT
PROTOCOL

Creator
Denis Gwizdala
Mission Type
Process Automation
Deployment
EU Network-Wide
Status
Operational
DEEP DIVE ANALYSIS
After ~1 year of data collection, comprehensive analysis revealed patterns across the EU last mile network. Station-by-station contribution percentages identified systematic operational gaps generating phantom shipments.
Analysis findings escalated to EU Process Team enabled root cause identification. Team implemented SOP changes addressing underlying operational practices—eliminating the problem at its source and generating ~£80K annual cost savings from eliminated phantom-related operational inefficiencies.
OUTCOME (2025+): Phantom generation reduced dramatically. Tool transitioned from handling ~35K annual removals to operating as guardrail for occasional outliers — proof that data-driven intervention solved the systematic failure. Combined impact: ~£99K annually (~£19K labor + ~£80K process improvement).
01

The Ghost
in the System

Phantom shipments were accumulating in routing clusters across Europe—invalid entries that remained stuck in the system. These non-existent shipments generated unnecessary routes, inflated delivery time estimates, and wasted computational resources. Operations teams spent ~20 hours weekly removing these entries manually, but without proper data collection, identifying root causes was impossible—only addressing symptoms without resolving the underlying issue.

1,040 +/-
Hours Wasted Annually
~20hrs
Weekly Manual Work
System Visualization
TRANSFORMATION PROTOCOL

Process Evolution

From manual inefficiency to autonomous cloud execution

BEFORE
Legacy Manual Process
01
Email Arrives (Saturday)
Stakeholder notification received
↓
02
Manual Excel Filtering
Person opens email & filters one by one
↓
03
Open Cluster Transfer
Navigate to system interface
↓
04
Copy & Transfer Parcels
Station by station, manual transfer
↓
05
Manual Cluster Re-run
Execute & verify completion
↓
06
Repeat for Next Station
Loop until all stations complete
~20hrs
Total Weekly
2
Operators Required
AFTER
Fully Cloud-Automated Protocol
01
Cloud-Scheduled Execution
Fully automated—zero operator intervention
⚡ AUTONOMOUS PROCESSING
• Runs automatically on schedule
• Extracts data from stakeholder emails
• 10+ stations per minute
• Real-time verification & logging
↓
02
Auto-Generate Report
Complete audit trail created
↓
03
Auto-Email Stakeholders
Results distributed automatically
↓
04
Archive Analysis Logs
Deep dive data stored for review
0min
Operator Time Required
100%
Cloud Automated
EFFICIENCY GAIN
100% ELIMINATION
From 20 hours weekly manual work to fully cloud-automated execution
02

Dual-Purpose
Solution

Cloud-scheduled Python solution designed with two objectives: automate phantom removal operations AND systematically collect granular data for root cause analysis—enabling both immediate relief and long-term problem solving.

01

AUTOMATE

Remove phantom shipments via browser automation

02

COLLECT

Log every removal: station, timestamp, shipment ID, patterns

03

VERIFY

Confirm removal success, track exceptions

04

ARCHIVE

Store comprehensive data for future analysis

05

REPORT

Auto-email stakeholders with removal summaries

SYSTEM INTERFACE

Visual Protocol

* Interface shown represents v1.0 with operator interaction. Current production system (v2.0) runs fully autonomous on cloud schedule.

CONTROL INTERFACE
System GUI

[NOTE] First version interface, no longer in active use. For demonstration purposes only.

◆ Automated Processing Dashboard
OUTPUT TRANSMISSION
Email Report

[NOTE] First version interface, no longer in active use. For demonstration purposes only.

◆ Automated Stakeholder Report
03

Data Collection Phase

Year-long systematic tracking across EU network—35K+ removals logged with station-level granularity

DAILY ELIMINATION

2024
18K
13.5K
9K
4.5K
0
JAN
MAR
MAY
JUL
SEP
NOV
PEAK
18K

TOTAL SHIPMENTS REMOVED

2024
35K
26K
17K
9K
0
JAN
MAR
MAY
JUL
SEP
NOV
TOTAL
35K+
04

Complete Impact

1,040 +/-
Hours Saved
Annually
~£19K
Annual Labor
Cost Avoided
~£80K
Process Change
Savings
~£99K
Total Annual
Impact
~35K
Data Points
Collected
EU
Network-Wide
Analysis
SOP
Process Changes
Implemented
2025+
Root Cause
Eliminated