•  Customer is a large garment manufacturing firm exporting from India
•  As part of their supply chain management process, they have several vendors & suppliers (global & local) from whom they source raw materials and other goods. There are several hundred invoices that are managed on a monthly basis (manual)
•  Customer wanted the invoice and payment process to be automated leveraging AI/ML improving operational efficiency

Introduction

Customer is a large garment manufacturing firm exporting from India

Challenges

•  A process and environment oriented study was done addressing the Accounts Payable segment
•  Manual touch points were identified that could be automated
•  Other aspects like flowing data into their ERP, having a user interface to make corrections, maintaining approval workflows etc. were further studied
•  Customer’s buy-in was obtained to build an automated solution encompassing the whole process

Solution

•  Right from document placement (via email, folders etc.) to flowing data into ERP, the process was automated
• ML was leveraged to intelligently extract data and tailor them to suit ERP requirements
•  Workflows were set in place through intuitive UI addressing their compliance requirements
•  Dashboards were built on top offering insights on transactions and business volumes
•  Human intervention touch points were established for exception management

Key Benefits

•  Not only did the solution result in better operational efficiency, but it also benefited them in terms of minimal errors
•  Compliance level was enhanced as human intervention level was minimized
• Progressively, better data extraction capabilities were achieved through constant training of new models
• Dashboards offered them insights on areas requiring attention that can further improve the process