MAHMOUD ABDELNABY
E Commerce · TEMPLATE FRAMEWORK · 1

Cash on Delivery (COD) Return-to-Origin (RTO) Mitigation Playbook

A planning playbook for measuring and addressing Cash on Delivery return-to-origin risk. It does not claim a measured reduction or production-tested flows.

Problem it addresses

Build an open-source COD Return-to-Origin (RTO) mitigation toolkit for MENA: 1) operational playbook (Pre-Purchase Friction, WhatsApp 1-Click Confirmation, Prepaid Incentive Surcharges, Courier SLA Tracking, Blacklist Governance), 2) WhatsApp automated confirmation message templates (Arabic and English), 3) Python risk scoring script (rto_risk_scorer.py), 4) Courier handover reconciliation sheet.

Who it is for

BOTH operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.

What is inside

Key files listed in the README repository architecture:

  • examples/riyadh-fashion-rto-case.md
  • LICENSE
  • models/cod-unit-economics-calculator.xlsx
  • playbooks/cod-otp-verification-sop.md
  • playbooks/rto-mitigation-master-playbook.md
  • README.md
  • scripts/rto_risk_scorer.py
  • src/rto_risk_scorer.py
  • templates/courier-sla-scorecard.md
  • templates/whatsapp-confirmation-flows.md
  • tests/test_rto.py
  • tests/test_scorer.py

How to evaluate and use it

  1. Read the README first and confirm that the documented problem matches your use case.
  2. Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
  3. Follow the repository’s Quick Start and check prerequisites before running commands.
  4. Compare outputs with documented examples and review limitations before using them in a decision or client workflow.

Quick Start from the README: python -m unittest discover -s tests · python src/rto_risk_scorer.py --help

Scope and limitations

  • Multi-Pillar Risk Scoring: Calculates RTO probability based on address completeness, previous order refusal history, and city delivery performance.
  • Pre-Purchase Friction Rules: Offers optional confirmation and incentive ideas to evaluate against customer experience, local rules, and account data.
  • Courier SLA Handover Tracking: Tracks last-mile courier attempts, requiring automated WhatsApp intervention upon the first failed delivery attempt.

This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.

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