Case Study

ReinVend Solutions: reconciliation in minutes

How a vending operations firm replaced five days of five-person reconciliation with an AI agent that finishes in minutes. Vending operations, Singapore · delivered 2026 · reinvendsolutions.com

The Problem

Five people, five days, every single cycle

ReinVend leases vending machines to its customers. Every cycle, the money side (purchase data from payment providers) had to be reconciled against what the machines themselves reported, to process refunds, catch mismatches, and produce a sales report for every customer. A team of five administrators needed at least five days to get through roughly 40 customers. Slow, repetitive, and error-prone by nature.

5 administrators

A full team tied up in matching rows instead of serving customers.

5+ days per cycle

Refunds and reports waited on manual reconciliation across about 40 customers.

What We Built

An agent trained on the whole reconciliation process

Not a dashboard for humans to reconcile faster. An agent that does the reconciling.

1. Ingest

The agent takes in purchase data from the payment providers and telemetry from the vending machines, for every customer in the fleet.

2. Reconcile

It matches the two sides, flags mismatches, and works through the refund cases that used to queue for a human.

3. Report

It produces the sales report each customer receives, cycle after cycle, in minutes instead of days.

Five days of five-person work, done in minutes

The reconciliation cycle that consumed the admin team now runs in minutes, and the team's time goes to work that needs judgment.

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