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Order Fulfillment Pipeline
Order processing automation, shipping label generation, tracking notification system, and returns management workflow.
MarkdownYAMLPythonLLM
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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
| Module | File | Description |
|---|---|---|
| Data Models | src/models.py | Order, LineItem, Shipment, Address, ReturnRequest, TrackingEvent |
| State Machine | src/state_machine.py | Order lifecycle with validated transitions and audit trail |
| Pipeline | src/pipeline.py | Main orchestrator: submit -> confirm -> pick -> pack -> ship |
| Shipping | src/shipping.py | Rate calculation, zone estimation, DIM weight, carrier comparison |
| Tracking | src/tracking.py | Event timeline, customer notifications, delivery performance |
| Returns | src/returns.py | Return lifecycle, eligibility checks, refund calculation, restocking fees |
| Carriers | src/carriers.py | Pluggable 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(