Learn how a top-tier building materials manufacturer partnered with Nihilent to deploy an AI-powered invoice validation system that transformed their plumber rewards program, cutting fraud, reducing delays, and improving partner satisfaction at scale.
Service
AI & Intelligent Automation / Computer Vision & NLP
Vertical
Manufacturing (Building Materials)
Region
India
Tech Stack
Computer Vision Models, NLP Pipeline, Anomaly Detection Engine, Mobile Platform APIs, MLOps Infrastructure, React-based Dashboard
The client is one of India’s leading building materials brands running a large-scale loyalty rewards program for plumbers and trade partners. At its peak, the program received between 400 and 4,000 invoice submissions daily, each requiring manual verification before rewards could be disbursed. The sheer volume, combined with a fully manual process, had turned what should have been a partner retention tool into a source of frustration.
01
Payouts Taking Up to 60 Days: Trade partners were waiting two months for rewards they had already earned. Participation and trust were quietly declining as a result.
02
Without an automated validation layer, invalid and duplicate invoices moved through undetected, generating incorrect payouts and direct financial losses.
03
Submissions swung tenfold daily, from 400 to 4,000. The team was perpetually either overstaffed or overwhelmed.
Nihilent deployed a specialized AI team combining computer vision engineers, NLP specialists, and systems integration experts to build a fully automated, mobile-compatible invoice intelligence platform.
Computer Vision and NLP
read and cross-reference both structured and unstructured invoice data against billing records, removing the need for manual review at entry.
Anomaly Detection Engine
identifies and rejects fraudulent, duplicate, and invalid claims before they reach the processing queue.
Smart Prioritization Engine
ranks valid submissions by urgency and partner tier, so high-value settlements are never delayed by low-priority volume.
of daily submissions auto rejected at entry
of invoices flagged as fraudulent or invalid in real time
of payout delays eliminated
daily invoices processed reliably, regardless of volume spikes
partner retention and satisfaction
This was not a technology upgrade. It was a strategic correction, turning a loyalty program that was bleeding trust and revenue into a scalable, fraud-resistant business asset. The partners stayed. The losses stopped. And the operations team got their time back. If a process this broken could be fixed this completely, the question is not whether AI can do this for your business. It is what is stopping you from finding out.
