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SNC-WF-004 · Free Tier · Orders & Risk Triage

Prioritize and Triage Cash-on-Delivery Orders Before Dispatch

SNC-WF-004 · COD Confirmation Work Queue & Risk Filter (Free Tier)

A free, self-hosted Python tool that ingests Cash-on-Delivery (COD) order CSV exports, validates essential logistics fields (10-digit phone, 6-digit PIN, valid address), and scores orders across multi-factor refusal risk heuristics (high basket value, duplicate phone bursts, sequential digits, vague addresses). It outputs a prioritized work queue categorizing orders into Auto-Approve, Manual Confirmation, High-Risk Hold, and Data Correction Required.

PRODUCT SUMMARY AT A GLANCESNC-WF-004
Primary OutcomeEvaluates COD order CSVs, separates validation failures from risk indicators, and generates a prioritized confirmation queue to reduce RTO losses.
How It RunsSelf-Hosted Python 3.8+ (Runs on your own computer or server)
Setup ExpectationsFree to self-host on your own hardware. Free workflows never run on Sanocea infrastructure. Optional assisted setup: ₹500 one-time.
Verification StatusCode & Logic Tested: Tested on normal, suspicious, and incomplete COD order datasets in an isolated clean sandbox
The 3-Step Process in Simple English
1. Input

Daily Cash-on-Delivery order CSV export from your store.

2. Transformation

Validates phone and postal formats, checks duplicate order bursts, applies multi-factor risk weights, and sorts into triage tiers.

3. Output

Prioritized cod_queue.csv and executive cod_summary.json.

Free to self-host. Want Sanocea to set it up? ₹500 one-time.

Setup scope covers installation on customer-controlled infrastructure, configuration of authorised integrations, functional testing and handover.

Hosting, third-party charges and ongoing support are excluded unless separately agreed. Free workflows must never run on Sanocea-hosted infrastructure.

Direct Download or Assisted Setup: Download the free toolkit below, or contact engineering on WhatsApp for ₹500 assisted setup on your machine.
01 · The Everyday Problem

What Goes Wrong in an Ordinary Working Day

Indian e-commerce merchants lose 20% to 40% of their margin to COD Return-to-Origin (RTO) charges because warehouse staff blindly pack and ship impulse orders, fake numbers (9999999999), and malformed addresses without verification.

02 · Why It Matters

The Impact on Your Business & Customers

Every RTO order costs ₹80 to ₹150 in forward and reverse freight plus locked inventory. Filtering out fake orders and verifying risky COD orders before printing shipping labels preserves cash and stops wasted courier fees.

03 · The Solution

What This Tool Does & What Changes for You

Reads your store order CSV export, validates phone numbers and Indian PIN codes, scores risk signals against configurable thresholds, masks customer PII in logs, and writes a prioritized CSV queue plus executive metrics summary.

What Changes in Practice:

Your warehouse packing station only processes verified or auto-approved COD orders. High-risk orders are held for customer confirmation, cutting avoidable RTO freight.

Real-World Transformation

Concrete Before & After Example (Actual Code Output)

Shows how unverified COD orders are evaluated and prioritized to stop wasted courier RTO freight.

INPUT: Unverified COD Orders CSV BatchInput File
Order: ORD-5003\nPhone: 9999999999\nAddress: noida sector 18\nAmount: ₹9,500.00\nQty: 1
OUTPUT: Evaluated Work Queue Action & Risk Driversnormalized_inventory.csv
Tier: HIGH_RISK_HOLD\nAction: SUPERVISOR_APPROVAL_REQUIRED\nRisk Score: 125\nReasons: VERY_HIGH_COD_VALUE(+55); REPETITIVE_PHONE_DIGITS(+45); SUSPICIOUS_CUSTOMER_NAME(+25)

Order held before label generation. ₹140 forward freight and ₹110 return penalty avoided.

What Changed vs. What Remained Unchanged

✓ What Changed (Normalized):
  • Categorized orders into Auto-Approve, Manual Call/WhatsApp, and Supervisor Hold
  • Quarantined missing and invalid postal codes into a data correction queue
  • Flagged repetitive test phone numbers and duplicate burst buyers
ℹ What Remained Unchanged:
  • Original store order files remain untouched on your machine
  • Zero customer personally identifiable information (PII) transmitted off-device
04 · Prerequisites

What You Need Before Getting Started

  • Store order export CSV (Shopify, WooCommerce, or generic format).
  • Python 3.8+ on any computer or server.

Technical Setup Guidance:

05 · Setup Effort

Setup Difficulty & Expected Time

Step-by-Step Run Instructions (Zero-Code Terminal Run)

  1. Download and extract snc-wf-004-cod-queue.zip.
  2. Place your store orders export in orders.csv.
  3. Run: python3 cod_queue.py --input orders.csv --output cod_queue.csv --summary cod_summary.json.
  4. Open cod_queue.csv in Excel/Sheets to guide your warehouse packing station.
06 · Package Contents

What You Receive in the Download Archive

Every deliverable is clean, self-contained, and ready for immediate deployment. You receive the complete files, configuration templates, setup guides, and automated tests.

File NameDeliverable Description
cod_queue.pyStandalone Python 3.8+ COD confirmation queue and evaluation engine
README.mdSetup guide, scoring rules, and operational boundaries
SETUP.mdQuickstart execution and cron scheduling guide
COSTS.mdZero-cost operating disclosure
LICENSING.mdSanocea Open Workflow License (MIT Compatible)
fixtures/orders_normal.csvBenchmark normal legitimate COD orders dataset
fixtures/orders_suspicious.csvBenchmark suspicious and high-risk COD orders dataset
fixtures/orders_incomplete.csvBenchmark incomplete and malformed COD orders dataset
fixtures/sample_orders.csv15-order mixed benchmark dataset
tests/test_cod_queue.pyAutomated pytest suite verifying scoring arithmetic and gates
07 · Technical Details & Verification

Architecture Diagram & Tested Capabilities

For technical teams or developers assisting your business, below is the visual execution architecture and automated verification breakdown:

Prioritize and Triage Cash-on-Delivery Orders Before Dispatch Architecture Pipeline Diagram
⚡Deterministic execution flow: runs on your own compute without telemetry tracking.

Verification Disclosure

Pure Python 3.8+ standard library script. Hard validation gates, multi-factor refusal risk scoring, batch duplicate burst detection, and phone masking. 100% pytest pass rate in clean sandbox.

Hard Data Validation Gate

Identifies missing phones, unparseable addresses, invalid 6-digit PIN codes, and zero-value orders.

Fully Tested

Multi-Factor Doorstep Refusal Scoring

Evaluates high basket values, fake/repetitive phone digits, sequential numbers, and vague addresses.

Fully Tested

Batch Duplicate Burst Detection

Flags multiple orders placed to the same phone number or destination address within the batch.

Fully Tested

Actionable Dispatch Triage

Categorizes orders into Auto-Approve, Manual Confirmation, High-Risk Hold, and Data Correction Required.

Fully Tested

Customer Privacy Masking

Masks phone numbers and names in console logs and summaries to preserve customer data privacy.

Fully Tested
08 · Operational Disclosures

Documented Limitations & Third-Party Costs

We believe in complete transparency. Review the documented technical boundaries and external service fee breakdown below prior to obtaining the package:

⚠️Documented Boundaries & Considerations

  • Heuristic Risk Scoring Only: Operates on order data rules; does NOT verify government identity, check credit scores, or guarantee courier delivery.
  • Customer-Controlled Infrastructure: Runs locally on your machine or server; does not transmit order data to Sanocea.
  • No Inherent Messaging Channel: Generates the triage queue; sending WhatsApp messages or making calls is performed by your team or existing messaging gateway.
ComponentEstimated CostDetails & Free Tier Allowances
COD Confirmation Work Queue Toolkit₹0 (Free to self-host)Download full source code and self-host
Optional Assisted Setup₹500 one-timeAssisted installation, environment setup, and handover
Third-Party Services₹0 additionalRuns offline with zero external API fees
System Compatibility

Platform Compatibility & Technical Specifications

Operating System
Linux, macOS, Windows
Runtime / Python
Python 3.8+
Supported Platforms
Shopify, WooCommerce, Custom Store CSV Feeds
Required Inputs
  • Orders export CSV containing order ID, customer phone, address, PIN code, and total amount
Generated Outputs
  • Prioritized cod_queue.csv with decision tiers and recommended actions
  • Executive cod_summary.json metrics with value exposure and risk drivers
Free Self-Hosted SoftwareInstant Download · Optional ₹500 Setup

Download or Set Up SNC-WF-004

Receive the complete distributable archive containing cod_queue.py, step-by-step setup guides, mock fixtures, and automated test suites.

Free to self-host. Want Sanocea to set it up? ₹500 one-time.

Setup scope covers installation on customer-controlled infrastructure, configuration of authorised integrations, functional testing and handover.

Hosting, third-party charges and ongoing support are excluded unless separately agreed. Free workflows must never run on Sanocea-hosted infrastructure.

Download Free Package (.zip)Chat on WhatsAppWe reply within 2 business days (Monday to Saturday, 9:00 AM to 9:00 PM IST)
Questions & Answers

Frequently Asked Questions

Does this tool verify customer identity or check credit scores?

No. This utility performs rule-based operational heuristic filtering on order details (basket value, phone digit patterns, address length, and batch duplicates). It does not access credit bureaus, examine Aadhaar/PAN, or guarantee delivery.

How does it separate validation errors from risk indicators?

Hard validation gates (missing phone, bad 6-digit PIN, blank address, or zero amount) immediately place an order in INVALID_REJECT for data correction. Risk heuristics (high amounts or vague addresses) place valid orders into MANUAL_CONFIRMATION or HIGH_RISK_HOLD.

Can I customize the risk score thresholds for my store?

Yes. All thresholds can be customized via command-line flags (--high-value-threshold, --very-high-value-threshold, --hold-score, --manual-score) to match your store average order value.

Operational Field Guide & Research

COD Confirmation Work Queue: Filtering High-Risk Cash Orders Before Courier Dispatch

How e-commerce brands score Cash-on-Delivery orders, why doorstep refusal heuristics stop RTO losses, and how to triage risky COD orders into an operator work queue.

Read Field Guide on Sanocea Insights →
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