Stop COD Fraud & Fake Orders: Bangladesh E-commerce Guide

Ask any Bangladeshi online store owner about their biggest operational problem and the answer is almost always the same. Not traffic. Not marketing costs. Fake orders.

A customer places a Cash on Delivery order. The store packs the product, dispatches it with a courier, the rider travels to the address — and nobody answers the door. Or the customer answers, says they placed no such order, and turns the rider away. The product returns. The delivery fee is still charged. The inventory is tied up for another three to five days during return processing. And the genuine customer who wanted that product could not get it because stock was reserved for a fraudulent order.

This happens dozens of times a week at scale for growing Bangladeshi online stores — and most owners are underestimating how much it costs them. This guide covers nine proven strategies to reduce fake COD orders and protect your store’s revenue, starting with the ones that deliver the fastest results.

Why COD Fraud Is a Bigger Problem Than Most Stores Admit

Most store owners track their COD cancellation rate — but very few calculate the true cost of each failed delivery. Consequently, the real impact of fake orders is consistently underestimated.

Consider a straightforward example. A store processes BDT 100,000 in COD orders per month with a 25% fake or refused delivery rate. That means BDT 25,000 worth of orders never result in payment. But the direct cost is actually higher than that lost revenue number alone.

Furthermore, repeated fake order attempts from the same addresses or phone numbers suggest organised fraud — not isolated customer mistakes. Consequently, stores that do not implement systematic prevention are actively training fraudsters that their platform is a safe target.

The 9 Strategies to Reduce Fake Orders and COD Fraud in Bangladesh

Additionally, segment your data by product category, delivery zone, and new vs returning customer. Fake orders are rarely evenly distributed — they tend to cluster around specific product types (high-demand, low-price items), specific geographic areas, and first-time buyers with no prior order history. Understanding where your fake orders are concentrated helps you apply solutions to the highest-impact areas first.

Step 2 — Implement OTP Order Confirmation Before Dispatch

OTP (One-Time Password) confirmation is the single highest-impact fraud prevention tool available to Bangladeshi e-commerce stores. The mechanism is simple: after a COD order is placed, an automated SMS is sent to the customer’s phone number with a unique 4 or 6 digit code. The order is only released for dispatch when the customer replies with or enters the correct OTP.

Fraudulent orders — placed with fake phone numbers, random contact details, or by someone targeting your store — almost never pass OTP verification. The fraudster cannot verify a phone number they do not control. Consequently, a high percentage of fake orders are filtered automatically before any courier cost is incurred.

OTP confirmation typically reduces fake COD order rates by 40% to 60% within the first month of implementation. It requires SMS gateway integration — providers available in Bangladesh include SSL Wireless, Mir Tech, and Twilio. A custom WooCommerce or e-commerce platform can have OTP confirmation built in as a checkout and post-order workflow.

Furthermore, a verified phone number becomes a permanent identifier linked to the customer account. Subsequent orders from the same verified number do not require reverification — reducing friction for returning customers while maintaining protection for new ones. Additionally, verified phone numbers are significantly more useful for your customer blacklist, since you know the number is real and belongs to the person who placed the order.

Step 4 — Build and Actively Maintain a Customer Blacklist

Every store that processes COD orders in Bangladesh needs a customer blacklist. A blacklist is a database of phone numbers, email addresses, and delivery addresses associated with previous fake orders, refused deliveries, or confirmed fraud. Any future order matching a blacklisted identifier is automatically flagged, held, or blocked before processing.

What to Track in Your Blacklist

• Phone number: The most reliable identifier. Flag the exact number and add it to a blocked list. Fraudsters frequently reuse numbers across multiple stores.

• Delivery address: Some fraudsters use the same address repeatedly. Flag exact addresses and also the name of the area or building if multiple fake orders originate from the same location.

• Email address: Less reliable since fraudsters create disposable emails easily — but still worth including for completeness.

• Full name: Use as a secondary signal alongside phone number — not sufficient on its own since names are easily varied.

• Courier reference number: Log the courier’s reference for refused deliveries so you can dispute non-refundable fees where your courier agreement permits.

Step 5 — Incentivise Prepaid Orders with bKash and Nagad Discounts

The most sustainable long-term solution to COD fraud is reducing your store’s dependency on COD by converting genuine buyers to prepaid. A customer who has already paid via bKash or Nagad has zero incentive to reject delivery. Consequently, their order is a confirmed sale from the moment the payment is received — no fake order risk, no failed delivery risk, no return fraud.

The mechanism is simple: offer a small discount — typically 3% to 7% — for any order paid via bKash or Nagad at checkout. This costs less than your average fake order handling cost and immediately shifts price-sensitive but genuine buyers from COD to prepaid.

Furthermore, prominently displaying the prepaid discount option during the checkout process — not buried in a terms page — is critical for conversion. The discount must be visible at the payment step, clearly labelled, and automatically applied when the customer selects bKash or Nagad.

Additionally, the call itself provides valuable customer service — it signals to genuine buyers that your store verifies orders before shipping, which builds trust. Customers who receive a confirmation call before a significant purchase consistently rate their experience higher than those who do not. Consequently, this fraud prevention step doubles as a customer experience improvement.

Step 7 — Set COD Limits for New and Unverified Customers

New customers — particularly those placing their first order with no account history — represent the majority of fake COD orders on most Bangladesh stores. Consequently, limiting the maximum COD order value for customers with no prior successful delivery history is one of the most targeted fraud prevention measures available.

A practical implementation: new customers can place COD orders up to BDT 800 only. Once they have one successful delivery on record, the limit increases to BDT 2,000. After three successful deliveries, they are treated as a trusted customer with no COD limit. This approach does not block genuine new buyers — it simply limits the risk until they demonstrate their legitimacy through successful order completion.

Step 8 — Implement Automated Risk Scoring for All Incoming COD Orders

An automated risk scoring system evaluates each incoming COD order against a set of fraud signals and assigns a risk score. Orders above a defined risk threshold are held for manual review — or automatically rejected — before any dispatch action is taken.

Key Risk Signals to Score

• Phone number match on blacklist: Highest weight signal — immediate flag or block

• Delivery address match on blacklist: High weight — hold for review

• New customer + high COD value: Medium-high weight — flag if first order exceeds your COD limit threshold

• Multiple orders to same address in short period: Medium weight — unusual ordering pattern

• Order placed at unusual hours (2AM to 5AM): Low-medium weight — not definitive but worth flagging for review

• Product category is high-demand and frequently faked: Category-specific weight based on your historical data

• Name variations on same phone number: Medium weight — same number used with different names across orders is a fraud signal

• Delivery area has high historical fake order rate: Weight based on your zone-level cancellation data

Risk scoring can be implemented in custom-built WooCommerce installations or purpose-built e-commerce platforms. Additionally, simple versions can be implemented manually using a spreadsheet-based order review process for stores that are not yet on a custom platform — the logic is the same even if the execution is manual.

Quick-Reference: Which Strategy to Implement First

Conclusion

Fake orders and COD fraud are not inevitable costs of running a Bangladeshi online store. They are operational problems with specific, solvable causes — and the stores that treat them systematically, with the right verification and incentive infrastructure in place, consistently reduce their fake order rate to under 10% within 60 to 90 days of implementation.

Start with OTP confirmation and a customer blacklist — these two strategies alone will produce an immediate, measurable improvement. Furthermore, add prepaid incentives and COD limits for new customers as your next priority. Consequently, each layer of protection compounds the last.

The stores that lose the most to COD fraud are those that accept it as a market reality and absorb the cost. The stores that win are those that treat it as a solvable operational problem and invest in the systems to solve it.