Case Study: DLF achieves greater data accuracy and efficiency with NEORIS RPA automation

DLF improves data accuracy 95% with NEORIS

DLF, a leader in the supply of grass and forage seeds, faced a significant challenge with the manual entry of nearly 500 Seed Analysis Reports into its Navision ERP system each month. This labor-intensive process consumed 880 hours annually and was prone to human error. To address this, DLF partnered with NEORIS to implement an automated solution.

NEORIS implemented a Robotic Process Automation (RPA) solution, utilizing AI Builder to create a specialized Seed Enhancer Bot. This system automated the extraction and entry of data from PDF reports, completely eliminating the need for manual input. The project delivered substantial results for DLF, including annualized savings of $20,000 and 880 hours. The solution also achieved a 63% improvement in process efficiency and a 95% improvement in data accuracy.

DLF