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ChargebackIQ

Dispute lifecycle management and chargeback intelligence platform. Tracks cases end-to-end, surfaces win-rate analytics, and provides processor trend reporting โ€” built from 3 years of daily chargeback operations at scale.

Active Python SQLite Payments Analytics
ChargebackIQ โ€” Dispute & Chargeback Intelligence

Overview

ChargebackIQ is a dispute intelligence system built from direct operational experience managing 15โ€“25 chargeback cases daily across five payment processors at FundingPips. The platform provides full case lifecycle tracking โ€” from initial dispute notification through evidence packaging, submission, and final outcome โ€” with analytics layered on top to surface win rates, failure patterns, and processor performance trends.

The system is designed around the reality of high-volume dispute operations: fast case intake, structured evidence tracking, processor-specific response templates, and outcome analytics that inform future dispute strategy.

Operational Scale

15โ€“25
Cases / Day
62%
Win Rate
5
PSPs Covered
100+
Countries

Architecture

Case IntakeDispute ingestion from PSP notifications. Captures case ID, amount, reason code, processor, and initial status. Links to transaction and account data.
EvidenceStructured evidence management per case. Tracks document uploads, submission status, and deadline tracking per processor's response window.
LifecycleStatus machine: New โ†’ Under Review โ†’ Evidence Submitted โ†’ Won / Lost / Escalated. Full audit trail of every state transition with timestamps.
AnalyticsWin/loss rate by processor, reason code, and time window. Trend analysis for dispute volume, outcome velocity, and processor dispute ratio tracking.
ReportingDaily, weekly, and monthly reports in structured format. Designed to match the reporting cadence used by finance and operations teams.

Key Features

Tech Stack

Python SQLite FastAPI Pandas REST API Webhooks

Demo Preview

โ–ธ CHARGEBACKIQ โ€” CASE PROCESSOR