fulfillment_analysis.py01 validate(order_lifecycle)
02 calculate(on_time_delivery)
03 segment(delay_patterns)
04 translate(findings → actions)
Operations Analytics · KPI Design · Confidential Data
E-commerce Fulfillment Analytics
An end-to-end operational analysis of a real e-commerce order lifecycle, built to reveal delivery performance, process bottlenecks, and actionable opportunities for improvement.
- Cleaned, validated, aggregated, and explored shipment-level data with Python, Pandas, and SQL.
- Designed operational KPIs including On-Time Delivery using business-defined delivery rules.
- Investigated timestamps, shipment states, and process patterns to explain delays—not merely count them.
Dataset and implementation details remain private due to confidentiality.
