accounts_payable · ecommerce · workflow

CNRG boosts invoice processing 4x with Vic.ai, achieving 60% no-touch rate and 76% time reduction

CNRG's AP department manually processed high volumes of invoices across multiple brands, spending approximately 5 minutes per invoice on downloading, printing, coding, and ERP data entry, and lacked visibility into cross-brand spending and the ability to scale operations without adding headcount.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Invoice ingestion via Vic.ai
All expense invoices now go through Vic.ai with automatic coding and integration into Microsoft Great Plains.
Tools used
Vic.aiAutopilot
Outcome

CNRG reduced invoice processing time by 76% (from 5 to 1.2 minutes per invoice), achieved 90% accuracy in invoice coding and classification, and reached a 60% no-touch Autopilot invoice processing rate, with improved visibility into cross-brand spending.

Results
Time savedfrom 5 to 1.2 minutes per invoice
Volume> 90%
Source

https://www.vic.ai/resources/case-studies/scaling-retail-ap-cnrg-boosts-invoice-processing-4x-with-ai

How we source this →

Grounding & classification
Source type: vendor customer story
31 fields verified against source quotes.
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