Konki Labs

Delivery refunds: what 4 months of real data reveal

4 min read Study

Between 1 January and 30 April 2026, KonkiCam tracked more than 11,000 delivery orders in a single restaurant, representing €319,390 in revenue.

The aim: to understand what really lies behind customer refunds and measure the value of photo evidence at the moment of preparation.

The results show two distinct phenomena: genuine preparation errors, but also a majority of complaints that don’t match what the available evidence shows.

11,019orders tracked
209disputes analysed
93%of disputes accepted
€1,267recovered

74% of the disputes analysed don’t match a visible error by the restaurant

Of the 209 disputes recorded, the analysis produces two categories:

  • 26% match an identified preparation error
  • 74% instead show a correct order in the available evidence

It would be going too far to label all of these 74% as fraud: a photo proves the state of the order at the restaurant, not what happened afterwards.

It does, however, establish one essential point: the order was correct when it was sent.

Source of the disputes analysed
209disputes
74%Complaint not supported by the evidence
26%Identified preparation error

That’s why we prefer to speak of disputable complaints rather than proven fraud.

93% of disputes succeeded

Where the evidence could challenge the complaint, 155 cases were disputed.

144 were successful – a 93% success rate.

144 / 155disputes accepted93% win rate

These cases represent €1,266.74 recovered over the period.

So the point of the photo isn’t to dispute every refund. Instead, it lets you quickly sort between:

  • a genuine error, which there’s no point disputing
  • an apparently correct order, for which a dispute can be documented

Preparation errors fall sharply over four months

The monthly breakdown reveals something else.

JanuaryFebruaryMarchApril
Orders2,8402,7993,0162,414
Refunds69544141
Errors identified241398
Error rate0.85%0.46%0.30%0.33%
Win rate89%95%94%97%

The preparation error rate thus falls from 0.85% in January to 0.33% in April – a drop of around 61%.

Meanwhile, the number of errors identified falls from 24 to 8 a month.

January → April trend (% of orders)
00.511.521.6%1.5%1.1%1.4%0.85%0.46%0.3%0.33%JanuaryFebruaryMarchApril
Preparation error rateDisputable complaint rate

Internal errors fall much more sharply than disputable complaints.

This data shows that traceability isn’t just useful for disputes: it also helps identify genuine errors and tackle their causes.

Refund amounts fall too

Recorded refunds fall from €670 in January to €291 in April.

That’s a reduction of 57%, while monthly volume remains at several thousand orders.

Over the same period, the dispute success rate rises from 89% in January to 97% in April.

Refunds and amounts saved per month
€670
€394
€418
€312
€385
€297
€291
€237
JanuaryFebruaryMarchApril
RefundsAmounts saved

Evidence quality remains decisive

Over the period, 92% of disputes had a photo and 92% of the photos taken were usable.

Conversely, missing evidence accounted for €134.85 of avoidable losses.

So a photo is only valuable if it quickly answers three questions:

  1. 1Which order is it?
  2. 2When was it prepared?
  3. 3Is the item in question visible?

It’s this link between the order and its evidence that turns a simple photo into a traceability tool.

What we take away from these four months

This analysis highlights three lessons.

  1. 1Not every refund is abusive. About a quarter of the disputes analysed correspond to genuine errors by the restaurant
  2. 2Most, however, are worth checking. In 74% of cases, the available evidence did not support the error attributed to the restaurant
  3. 3Traceability is as much about improving operations as recovering refunds. Between January and April, the observed error rate was more than halved

KonkiCam thus quickly answers a question that has until now been hard to settle:

“Was this order correct when it left the restaurant?”

Read next

Delivery refund fraud and abuse: a guide for restaurateursCauses of refunds, the real cost to the restaurant and ways to document every order. Read the article How to dispute an Uber Eats refund as a restaurantThe procedure in Uber Eats Manager, the 30-day deadline and the evidence to attach. Read the article How to dispute a Deliveroo refund as a restaurantPartner Hub, the 7-day deadline and the evidence Deliveroo accepts. Read the article