AI-Driven Order Intake Automation

Manual order intake was slowing down operations at Girteka Group, one of Europe’s leading road freight transport companies. High volumes of diverse order formats made the process time-consuming, error-prone and expensive to scale. The need for real-time validation and 24/7 availability called for a smarter approach.

Centric IT Solutions Lithuania implemented an AI-driven automation system combining Optical Character Recognition (OCR) and Natural Language Processing (NLP) to streamline the intake process. The solution extracted data from PDFs, images and text, automatically validated it in real-time and flagged inconsistencies for minimal human intervention.

Within six months, we achieved a 93% model accuracy rate, cut human errors by 95%, and increased productivity by 70%. By reducing reliance on human input and accelerating order processing, the company gained a scalable, future-proof solution for logistics management.

Download the full case study to see how AI is transforming order processing at scale.