Duncan Anderson
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Online Travel Agency

Dispute Defender

A major travel company was losing money on chargebacks — each one took staff hours to investigate, gather evidence, and respond. Thousands piled up every month.

01

The Problem

Every time a customer disputed a charge, someone on the team had to manually dig through booking records, pull together evidence, figure out why the dispute happened, and write a response. With thousands of disputes hitting every month, the team was buried. Most disputes got a generic response — or no response at all — because there simply wasn't enough time. Revenue was walking out the door.

02

What I Built

I built an automated pipeline that handles the entire dispute process from start to finish. The system pulls in the chargeback, gathers all the relevant booking and transaction data, classifies the root cause, and assembles a tailored evidence packageall without anyone touching it. It replaced what used to be a slow, manual process with something that runs in the background and gets it right the first time.

03

The Outcome

The team got hours back every week that they'd been spending on repetitive dispute work. Win rates improved because every dispute now gets a well-researched, specific response instead of a rushed one. Revenue that was previously written off started getting recovered consistently.

Stack

Tech Used

PythonMachine LearningREST APIsData Pipelines

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