If you sell on cash-on-delivery in Pakistan, fake orders are not a possibility — they are a certainty. Every seller who ships COD will encounter customers who place orders with no intention of paying, or who simply deny placing the order when the courier arrives.
The question is not whether it will happen to you. The question is how much it costs you per month, and what you can do about it.
A seller shipping 500 orders per month with a 30% fake rate loses PKR 180,000 every single month to fake orders — before accounting for inventory damage on returns. This guide covers every method available to reduce that number.
The Problem is Worse for Daraz Sellers
If you are a Daraz seller, fake orders hit you harder than direct sellers. Daraz's buyer-friendly return policy makes it trivially easy for customers to refuse delivery with no explanation required. Your Daraz seller account metrics suffer — late dispatch rates, return rates, and performance scores — even when the fault lies entirely with a customer who had no intention of paying.
Daraz sellers running their own COD operations outside the platform face the same issue compounded: no buyer protections, no dispute resolution, and no evidence if a customer denies placing the order. This is exactly the problem OrderWitness solves — giving every Daraz seller and independent COD seller a timestamped, cryptographically-signed record of every order confirmation before dispatch.
Daraz seller tip: Use OrderWitness for orders taken directly (Facebook, Instagram, WhatsApp) alongside your Daraz store. Your Daraz orders have Daraz's infrastructure — your direct orders have none. That gap is where most losses happen.
Why Fake COD Orders Are So Common in Pakistan
Understanding the root cause helps you pick the right solution. Fake COD orders in Pakistan happen for several distinct reasons:
- Zero financial risk for the customer. With COD, placing an order costs nothing. There is no card charge, no deposit, no commitment. A customer can place 10 orders from 10 different sellers and decide at the door which one they want to pay for.
- Impulsive ordering from social media ads. A customer sees a Facebook or Instagram ad, taps the form, fills it out in 30 seconds, and by the time the product arrives 3–5 days later, they have forgotten about it or changed their mind.
- Competitor sabotage. Some sellers place fake orders on competing businesses to waste their inventory and shipping budget. This is more common than most people acknowledge.
- Address fraud. Organised groups place orders with fake addresses or addresses of commercial buildings they know will refuse delivery, then collect the product through a contact at the location.
- No consequence for refusal. In Pakistan, refusing a COD delivery has zero consequences for the customer. No penalty, no account suspension, no record that follows them across platforms.
Method 1: Customer Confirmation Before Dispatch (Most Effective)
The single most effective method for eliminating fake orders is getting the customer to actively confirm the order before you ship it. A customer who placed an order on a whim will often not bother to confirm — and a customer who planned to refuse at the door cannot later claim they never ordered once they have already clicked YES.
Confirmation works on two levels:
- Filtering: Fake orders self-cancel when customers ignore or reject the confirmation.
- Evidence: If a customer confirms but later denies at the door, you have timestamped proof of their confirmation.
WhatsApp Confirmation
Send a WhatsApp message to the customer's number immediately after the order is placed. The message should contain the order details and two buttons: Confirm Order and Cancel Order. When a customer taps a button, the response is recorded with a timestamp.
Using the official WhatsApp Business Cloud API (via Meta) is strongly recommended over unofficial WhatsApp automation tools. Unofficial tools risk your number being banned and do not generate legally acceptable evidence.
Email Confirmation
Send a branded email with a confirmation link. Less effective than WhatsApp in Pakistan (many customers do not use email), but useful as a backup channel for customers who do not respond on WhatsApp.
Key insight: In our data, sellers using WhatsApp confirmation see 60–75% of orders confirmed within 2 hours. Orders with no response after 48 hours can be safely cancelled — saving the shipping cost entirely.
Method 2: AI Fraud Risk Scoring
Not every fake order is obvious. AI fraud scoring analyses every order automatically when it is placed and assigns a risk score from 0 to 100 based on multiple signals:
| Risk Signal | What It Detects | Weight |
|---|---|---|
| Repeat rejection history | Phone number has refused past orders from any seller | High |
| Order velocity | Same number placed multiple orders in 24 hours | High |
| Address anomaly | Address is incomplete, a known commercial building, or previously flagged | Medium |
| Value outlier | Order value is unusually high for a first order from this number | Medium |
| Blacklisted number | Number appears on a known fraud list | Critical |
| Area rejection rate | Historical refusal rate is high for this delivery area | Low |
Orders scoring above your configured threshold (typically 70+) are automatically placed on hold for manual review before dispatch. This prevents your highest-risk orders from ever leaving the warehouse without human approval.
Method 3: Phone Number Blacklisting
Every time a customer refuses a delivery, their phone number should be added to a blacklist. Future orders from that number are automatically flagged or rejected.
An effective blacklist has two tiers:
- Your own business blacklist: Numbers that have refused your orders before. Easy to build, immediately effective.
- Cross-seller blacklist: Numbers flagged by multiple sellers across the platform. Much more powerful because it catches first-time fraudsters before they get a chance to abuse your business.
Important: Do not blacklist customers who cancelled before dispatch — only those who refused at the door or were unreachable. Cancellations before shipping cost you nothing and should not be penalised.
Method 4: Prepaid Conversion for High-Risk Orders
For orders with a fraud risk score between 50 and 70 — too risky to ship confidently but not clearly fake — offer the customer a prepaid option. Send a message explaining that prepaid orders get priority dispatch and faster delivery.
Legitimate customers will often agree to prepaid, especially if you sweeten the offer with a small discount. Fraudulent customers will not pay upfront. This single filter can reduce losses on borderline orders by 40–60%.
Method 5: Address Verification
Require customers to confirm their delivery address as part of the confirmation step. An incorrect or incomplete address is a strong fraud signal. This is especially important for orders to industrial areas, commercial zones, or apartment buildings where individual unit numbers are often missing.
Some platforms offer Pakistan Post address validation or Google Maps pin-drop verification during checkout. Even asking for a Google Maps pin in the confirmation message filters out many fake orders.
What Does NOT Work
Experience across thousands of sellers shows that some commonly tried methods are largely ineffective:
- Adding a small advance payment: Legitimate customers find this off-putting. It reduces fake orders but also reduces genuine orders. Net effect is often negative.
- Calling every customer manually: Does not scale. 60% of customers do not answer unknown numbers. Costs 2–5 minutes per order.
- SMS confirmation: Very low open rates in Pakistan for order-related SMS. Customers dismiss SMS as spam. WhatsApp is far more effective.
- Longer delivery times: Counterintuitively, faster delivery reduces fake orders because less time passes between ordering and delivery (reducing buyer's remorse).
Combining Methods: A Practical Framework
The most effective approach combines all methods in a tiered system:
- Order placed → Instant fraud score calculated (0–100)
- Score 0–30 (Low risk) → Send WhatsApp confirmation, ship on response
- Score 31–60 (Medium risk) → Send WhatsApp confirmation + offer prepaid discount
- Score 61–80 (High risk) → Hold for manual review, call if valuable order
- Score 81–100 (Critical) → Auto-cancel, log to blacklist, do not ship
Sellers using this framework report reducing fake order rates from 30–40% down to 8–12% within the first month.
The Cost of Doing Nothing
Let us put a number on inaction. If you ship 200 orders per month at an average COD value of PKR 2,500, and your current fake order rate is 30%:
- Fake orders per month: 60
- Shipping cost per fake order (both ways): PKR 600
- Return handling cost: PKR 200
- Revenue lost to unrecovered returns: PKR 1,500 × 60 = PKR 90,000
- Total monthly loss: PKR 108,000+
A proper confirmation and fraud scoring system costs a fraction of that — and eliminates the majority of losses within the first billing cycle.
Start Preventing Fake Orders Today
OrderWitness combines WhatsApp confirmation, AI fraud scoring, phone blacklisting, and cryptographic evidence PDFs in a single platform. Free plan includes 50 orders per month — no credit card required.
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