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Order Fulfillment Pipeline

$39

Order processing automation, shipping label generation, tracking notification system, and returns management workflow.

📁 20 files
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📁 File Structure 20 files

order-fulfillment-pipeline/ ├── LICENSE ├── README.md ├── configs/ │ └── fulfillment_config.yaml ├── data/ │ └── sample_orders.csv ├── free-sample.zip ├── guide/ │ ├── 01-overview.md │ ├── 02-order-processing-automation.md │ └── 03-shipping-and-tracking-integration.md ├── guides/ │ └── fulfillment_guide.md ├── index.html ├── scripts/ │ └── run_fulfillment.py ├── src/ │ ├── __init__.py │ ├── carriers.py │ ├── models.py │ ├── pipeline.py │ ├── returns.py │ ├── shipping.py │ ├── state_machine.py │ └── tracking.py └── tests/ └── test_fulfillment.py

📖 Documentation Preview README excerpt

Order Fulfillment Pipeline

End-to-end order fulfillment system with state machine-driven lifecycle management, multi-carrier shipping, shipment tracking, returns processing, and fulfillment analytics — all in pure Python.

What's Inside

ModuleFileDescription
Data Modelssrc/models.pyOrder, LineItem, Shipment, Address, ReturnRequest, TrackingEvent
State Machinesrc/state_machine.pyOrder lifecycle with validated transitions and audit trail
Pipelinesrc/pipeline.pyMain orchestrator: submit -> confirm -> pick -> pack -> ship
Shippingsrc/shipping.pyRate calculation, zone estimation, DIM weight, carrier comparison
Trackingsrc/tracking.pyEvent timeline, customer notifications, delivery performance
Returnssrc/returns.pyReturn lifecycle, eligibility checks, refund calculation, restocking fees
Carrierssrc/carriers.pyPluggable carrier adapter interface with mock implementations

Features

  • State machine-driven lifecycle — 13 order states with validated transitions, pre/post hooks, and full audit trail
  • Batch fulfillment — process multiple orders through picking, packing, and shipping in configurable batch sizes
  • Multi-carrier shipping — pluggable carrier adapters, rate comparison across carriers, zone-based pricing with DIM weight
  • Free shipping logic — configurable order threshold for automatic free shipping
  • Shipment tracking — event timeline management, customer-facing status messages, notification generation
  • Returns processing — eligibility checks, restocking fee calculation, disposition tracking (restock/refurbish/liquidate/dispose)
  • Configurable return policy — return window, fee waivers by reason, non-returnable tags, refund-without-return threshold
  • Delivery analytics — on-time rate, carrier performance comparison, return rate analysis
  • Pure Python — zero pip dependencies, Python 3.10+ stdlib only

Quick Start


cd order-fulfillment-pipeline/
python scripts/run_fulfillment.py
python -m pytest tests/test_fulfillment.py -v

Project Structure


order-fulfillment-pipeline/
├── src/
│   ├── __init__.py         # Package exports
│   ├── models.py           # Domain objects (Order, Shipment, Address, etc.)
│   ├── state_machine.py    # Order lifecycle state machine
│   ├── pipeline.py         # Fulfillment pipeline orchestrator
│   ├── shipping.py         # Shipping rate calculator
│   ├── tracking.py         # Shipment tracking and notifications
│   ├── returns.py          # Returns processing and refund calculation
│   └── carriers.py         # Carrier adapter interface and mocks
├── configs/
│   └── fulfillment_config.yaml  # All settings with comments
├── data/
│   └── sample_orders.csv   # 8 sample orders with 12 line items
├── scripts/
│   └── run_fulfillment.py  # Full demo script (6 demos)
├── tests/
│   └── test_fulfillment.py # 20+ unit tests across all modules
├── guides/
│   └── fulfillment_guide.md # Setup and usage documentation
├── LICENSE                 # MIT License

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .py preview

scripts/run_fulfillment.py#!/usr/bin/env python3 """ Order Fulfillment Pipeline — Demo Runner ========================================== Demonstrates the complete order fulfillment lifecycle: 1. Load orders from sample CSV 2. Submit orders to the pipeline 3. Process through picking -> packing -> shipping 4. Simulate carrier tracking events 5. Process a return with refund 6. Show fulfillment metrics Run from the product root directory: python scripts/run_fulfillment.py """ from __future__ import annotations import csv import logging import os import sys from collections import defaultdict # Add project root to path sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) from src.models import ( Address, LineItem, Order, OrderStatus, ReturnReason, Shipment, ShipmentStatus, TrackingEvent, ) from src.state_machine import OrderStateMachine from src.pipeline import FulfillmentPipeline, PipelineConfig from src.shipping import ShippingCalculator from src.tracking import TrackingManager from src.returns import ReturnsProcessor from src.carriers import CarrierRegistry, MockStandardPost, MockExpressCourier # Configure logging logging.basicConfig(
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