Super Trend – Business Process Management (BPM)

Business Process Optimization project developed for the Business Process Management course at NOVA IMS (2023).

🎯 Objective

Model, analyze, simulate, and optimize the Order-to-Delivery process for Super Trend, a European online fashion retailer.
The goal was to improve operational efficiency, reduce delays, and increase Return on Investment (ROI).

🧩 Tools & Methods

• Bizagi Modeler for AS-IS and TO-BE process modeling
• BPM Lifecycle: Identification → Discovery → Analysis → Redesign
• Quantitative Simulation (Poisson & Truncated Normal distributions)
• What-if Scenarios for resource allocation and workflow redesign
• Zoho One Integration for automation, invoicing, and real-time inventory

🧠 Process Overview

• AS-IS model highlighted inefficiencies in order handling, resource allocation, and manual tasks.
• TO-BE model introduced:
  • Full automation through Zoho One
  • Digital invoicing and inventory tracking
  • Optimized staff and courier allocation (manager automation, 6 couriers, 3 packagers)
  • Reduced average process time from 2h10m → 53 minutes
  • Achieved ROI of 4.65% in two years

📈 Key Findings

KPI	AS-IS	TO-BE
Orders completed per day	46	74
Avg. Process Time	2h10m	0h53m
Total Employees	16	12
ROI (2 years)	–	+4.65%

📊 Simulation Dataset

A synthetic dataset (bpm_simulation_sample.csv) is provided in data/raw/ for reproducibility.
It mimics simulation results (e.g., order times, waiting periods, resource utilization) used in Bizagi’s quantitative analysis.

Synthetic data ensures reproducibility without sharing proprietary course data.

📚 Skills Demonstrated

Bizagi Modeler · BPMN · Process Simulation · Quantitative Analysis · Zoho One ·
Automation · Process Redesign · ROI Analysis · Business Optimization

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📄 Full report and model documentation available in /reports.
Bizagi models available in /models.