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Case Study

Paper and packaging firm automated invoicing across 100+ sites

Home » Resources » Case Studies » Paper and packaging firm automated invoicing across 100+ sites

Results

$150K

Saved USD 150K annually across 100+ sites

Scale

Eliminated location-by-location data-entry rework

Better

Standardized invoicing across 100+ sites

Company Profile

Global publicly-listed manufacturer of paper and packaging solutions, a leading provider of corrugated, consumer, and specialty packaging serving major brands and manufacturers across food and beverage, consumer products, healthcare, and industrial markets. Tens of thousands of employees worldwide operating across multiple continents.

Challenge

Billing team chasing unbilled dockets across 100+ sites

Every billing cycle, the company’s AR team faced the same grind: log into each of 100+ sites, pull the unbilled dockets, run report after report, validate values by hand, and reshape it all into one reconciliation workbook. No two sites did it the same way, and as a result, every step was another place an error could creep in.

When dockets slipped through, cash collection stalled and revenue quietly leaked. Therefore, AR leadership wanted a consistent workflow that ran the same way everywhere and surfaced exceptions instead of burying them.

Solution

Automated docket-to-invoice flow across all sites

The company brought in an automated docket-to-invoice workflow that ran across every location on the same cadence. Each cycle, the automation logged into the enterprise sales processing system, pulled the unbilled dockets from all 100+ sites, extracted order data using intelligent document processing, and turned them into invoices in the system of record. As a result, site-by-site billing reports and a master reconciliation rolled out automatically.

Meanwhile, the billing team received the reconciliation with an MI snapshot showing which sites had cleared and which still needed eyes. In short, the standardized workflow erased the per-location variation that had quietly driven most of the prior error rate.

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