Konki Labs

Delivery refund fraud and abuse: a guide for restaurateurs

9 min read Guide

Delivery has become an essential sales channel for many restaurants. But it also brings a phenomenon that’s hard to measure: refunds for orders reported as incomplete, incorrect or not as ordered.

Some complaints are entirely legitimate. Others may stem from a misunderstanding, a logistics problem or, in some cases, an abusive claim.

For the restaurateur, the challenge is always the same: how can you know what really happened when the order was prepared?

This guide sets out the main causes of delivery refunds, the risks for restaurants and ways to document orders better to limit losses.

What is an abusive delivery refund?

When a customer reports a problem with an order placed on a delivery platform, they may get a full or partial refund depending on the nature of the complaint.

The most common reasons include:

  • an item reported missing
  • an incorrect item
  • an incomplete order
  • a quantity problem
  • an order supposedly not received
  • an item considered not as ordered

In many cases, the complaint may be entirely justified: a preparation error, something forgotten, a delivery problem or a misunderstanding between the restaurant, the rider and the customer.

We speak of an abusive refund when a refund is granted even though the order handed to the rider matched what was ordered.

The problem is that, without evidence, it’s often hard for the restaurant to tell a genuine error from an unjustified complaint.

Why are restaurants particularly exposed?

A delivery order involves several parties:

restaurant → rider → customer

The restaurateur controls the order until it’s handed to the rider, but after that has no direct visibility of what happens.

So when there’s a dispute, several scenarios are possible:

  • the item really was forgotten during preparation
  • the item was there but got lost in transit
  • several bags were handed over and one didn’t arrive
  • an error occurred at handover
  • the customer misidentified the contents of the order
  • the complaint doesn’t match the order actually prepared

Without traceability, it’s practically impossible to determine objectively where the problem arose.

Why are these refunds hard to dispute?

When a customer says an item is missing, the restaurant may be certain it prepared the order correctly.

But conviction isn’t evidence.

To handle a dispute, platforms need something that shows what happened.

A restaurant that can document the preparation of every order precisely therefore has a real advantage: it can check the facts quickly before even deciding whether a dispute is worthwhile.

The aim isn’t to dispute every single refund.

On the contrary, it’s to be able to tell quickly between:

a genuine error by the restaurant, which there’s no point disputing,

and

a complaint inconsistent with the order prepared, which may justify a dispute.

What do refunds really cost a restaurant?

The refund amount is only part of the problem.

Each dispute can also mean:

  • lost margin
  • time spent looking for the order
  • time spent on the dispute procedure
  • difficulty spotting recurring errors
  • a possible decline in quality ratings

Taken individually, a few euros may seem trivial.

But across hundreds or thousands of orders a month, small refunds can add up to a significant loss.

So it’s worth tracking a few simple metrics:

  • number of orders delivered
  • number of refunds
  • total amount refunded
  • average amount per refund
  • refund rate
  • most common reasons
  • share of refunds judged disputable

This analysis separates two very different issues:

genuine operational errors, which call for better procedures,

and

potentially abusive refunds, which call for more traceability.

How can you prove an order was complete?

The most useful evidence is that which shows the state of the order at the moment it leaves the preparation area.

Depending on how the restaurant is organised, several things can be kept:

  • ticket or order number
  • details of the items prepared
  • preparation time
  • which platform
  • a photo of the order
  • processing history
  • information linking the evidence to a specific order

A photo, in particular, can visually confirm that an item was there at the packing stage.

But to be genuinely usable, the photo must be unambiguously linked to the right order.

A standalone image with no order number, date or time tells you much less.

The value therefore comes from combining visual evidence and traceability.

Photographing orders: is it really worth it?

A photo of the order just before it’s handed to the rider provides an objective record of its preparation.

If there’s a complaint, the restaurateur can check this evidence.

Example:

A customer says a drink is missing.

The restaurant finds the order and checks the photo taken at packing.

There are then two possibilities.

The drink isn’t visible.

The error probably happened at the restaurant. The complaint seems consistent and there’s no need to waste time disputing it.

The drink is clearly visible in the order.

The restaurant then has evidence to support its dispute.

So the photo isn’t just for fighting abuse.

It also identifies errors genuinely made by the team.

How do you set up good order traceability?

An effective process must stay simple enough not to slow down production.

In a restaurant handling hundreds of orders a day, asking staff to photograph every order by hand with a smartphone quickly becomes a burden.

A good traceability solution should therefore meet several criteria:

1. Identify the order automatically

The evidence must be linked to the right order number.

2. Timestamp the preparation

The date and time make it quick to find an order.

3. Capture usable evidence

The photo must clearly show the items or packaging prepared.

4. Centralise the information

Staff shouldn’t have to search through several phones or folders to find an image.

5. Enable fast search

When a complaint arrives several days after the order, the evidence must be retrievable in seconds.

The aim is to turn a manual process into a simple, systematic traceability system.

Should every complaint be disputed?

No.

Disputing every refund would be both inefficient and counter-productive.

Some complaints genuinely reflect preparation errors.

A better approach is to check the order quickly before disputing anything.

When the evidence confirms the restaurant’s error, the case can be closed straight away.

When, on the other hand, the evidence suggests the order was correct, the restaurant can choose to submit what it has through the platform’s procedure.

This focuses effort only on the cases that warrant it.

How can you reduce delivery refunds?

Reducing refunds usually relies on two complementary levers.

Improve preparation

Analysing complaints can reveal recurring errors:

  • forgotten sauces
  • missing drinks
  • missing sides
  • orders mixed up
  • incomplete bags

This data can then be used to improve internal procedures.

Document orders

Traceability then helps you understand the complaints that persist despite good preparation quality.

This distinction is essential.

So an effective evidence solution isn’t just for disputing refunds: it also improves the restaurant’s operational quality.

Prevention is often more effective than disputes

Once a restaurant starts measuring the causes of its refunds precisely, it can tackle the most frequent problems.

For example:

  • reorganise the packing area
  • add a check step
  • move the drinks
  • separate certain items
  • improve bag labelling
  • adapt the workflow for multi-bag orders

Data then turns refunds into an operational indicator.

Instead of treating each complaint as a one-off, the restaurant can look for recurring causes and measure how well corrective actions work.

KonkiCam: automating preparation evidence

KonkiCam was designed to simplify delivery order traceability.

The camera is installed directly over the preparation area.

When an order is finished, it automatically links visual evidence to the order details: platform, order number, date and time.

If there’s a refund or complaint, the restaurateur can quickly find the order and check its contents.

The goal is simple:

know what was actually prepared, without adding extra work for staff.

KonkiCam turns a situation that’s often hard to verify into usable information.

Frequently asked questions

What is an abusive delivery refund?

It’s a refund granted for an order when the available evidence indicates the restaurant prepared it correctly. Abuse should, however, be distinguished from genuine preparation errors or incidents that can occur during delivery.

Can abusive refunds be stopped entirely?

No. But better traceability makes inconsistent situations easier to spot and gives you evidence to support certain disputes.

Is a photo enough to dispute a refund?

It can be useful, but its value depends largely on whether it can be linked precisely to the order in question. Timestamped evidence tied to the order number is far more usable than a standalone photo.

Does traceability also reduce errors?

Yes. When a complaint is checked against the available evidence, the restaurant can identify its own errors and spot recurring problems in its preparation process.

Is KonkiCam only for fighting fraud?

No. It can also be used as a quality control and traceability tool for delivery orders.

Understand your refunds to reduce them

Refunds are part of the reality of delivery.

The challenge for restaurants isn’t to eliminate every complaint, but to understand quickly where they come from.

With better traceability, you can tell apart:

the errors to fix, the incidents to understand and the complaints genuinely worth disputing.

It’s this visibility that gradually reduces losses and improves the quality of delivery operations.

Read next

Order reported incomplete: what can the restaurant do?Reconstruct the facts, check the preparation and decide whether to dispute. Read the article How much do delivery refunds really cost restaurants?Deducted amounts, lost margin, handling time: the full cost of complaints. Read the article Delivery refunds: 10 typical situations to analyseForgotten drink, wrong bag, missing evidence: ten common cases and how to analyse them. Read the article