Lido automates vendor invoice processing at Soldier Field ASM Global
Soldier Field ASM Global handled 300–400 vendor invoices every week through a fully manual process—extracting data from PDFs, entering it into their ERP, and verifying accuracy—consuming approximately 20 hours per week and remaining error-prone due to vendor-specific invoice format variation.
GPT models, Power Automate, and AI agents were all evaluated but none were customizable enough to handle vendor-specific invoice formats, requiring significant manual intervention despite the automation attempt.
Implementing Lido led to a drastic improvement in efficiency and accuracy at Soldier Field ASM Global; the specific outcome metrics are not available in the captured page text as the results section is truncated.
Frequently asked questions
What did this team achieve with this AI workflow?
Implementing Lido led to a drastic improvement in efficiency and accuracy at Soldier Field ASM Global; the specific outcome metrics are not available in the captured page text as the results section is truncated.
What tools did this team use?
Lido, GPT models, Power Automate, ERP system.
What results were reported?
Weekly invoice volume: 300 to 400 vendor invoices every week; weekly time spent on invoice processing before Lido: approximately 20 hours per week; Efficiency and accuracy improvement: drastic improvement in efficiency and accuracy (source-reported, not independently verified).
What failed first in this deployment?
GPT models, Power Automate, and AI agents were all evaluated but none were customizable enough to handle vendor-specific invoice formats, requiring significant manual intervention despite the automation attempt.
How is this invoice processing AI workflow structured?
Vendor invoices arrive post-event → Lido extracts and categorizes PDF data → Data entered into ERP system.