Ingram Micro is a leading U.S.-based distributor of IT products and services with a global footprint. The company bridges technology manufacturers with resellers, system integrators, and enterprises, streamlining IT supply chains across industries. With a strong focus on innovation and efficiency, Ingram Micro continuously drives business performance through cutting-edge solutions and operational excellence.
Technology
Ingram Micro faced significant challenges in processing over 3 million pages of unstructured documents annually from 10,000 vendors across 15 languages. The sheer volume and diversity of invoice formats resulted in inefficiencies and increased operational costs due to the need for extensive post-processing corrections.
Additionally, the varying size of invoices—from single-page documents to invoices spanning 300 pages—added another layer of complexity. Each invoice had to be manually reviewed, validated, and entered into their ERP system, leading to an overwhelming workload for the finance team. The reliance on manual data entry resulted in errors, delays, and compliance risks.
To make matters worse, approvals were often bottlenecked due to discrepancies and missing information, delaying payments and straining vendor relationships. Ingram Micro knew that without automation, they risked not just inefficiency but also lost revenue due to late payment penalties and strained supplier trust. The leadership team needed a solution—one that was intelligent, scalable, and capable of handling the complexity of their operations.
Enter Datamatics and its intelligent document processing (IDP) solution, TruCap+. Ingram Micro needed more than just automation; they needed an AI-driven approach that could process structured and unstructured invoices with speed and accuracy.
Datamatics deployed TruCap+ IDP, seamlessly integrating it into Ingram Micro’s existing ERP. Using AI and machine learning, TruCap+ automatically extracted, classified, and validated invoice data, regardless of format. The platform’s self-learning capabilities meant that with each processed invoice, it became smarter, improving data extraction accuracy over time.
With built-in validation rules and business logic, the system flagged discrepancies before they caused delays. Exception handling was streamlined, and automated workflows ensured that invoices moved swiftly through the approval chain. No more manual data entry, no more lost invoices, no more late payments.
Faster invoice processing cycle
Accuracy in data extraction
Reduction in manual efforts
Fast solution implementation
Tom McMurray
Managing Director, Ingram Micro
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