Case Study: a global manufacturing leader achieves faster, more accurate supply chain task resolution with Maisa Digital Workers

Supply Chain Task Resolution Automation

A global manufacturing leader faced significant challenges in its supply chain operations, handling over a thousand daily exception tasks manually. Analysts at the company spent five to ten minutes on each task, leading to unavoidable delays, human errors, and a purely reactive workflow. This created risks like production disruptions and costly expedited shipments. The company turned to vendor Maisa to automate this process using Maisa Digital Workers.

Maisa implemented a Digital Worker that automated the entire task resolution workflow. This AI solution reads task information, checks operational data, and makes resolution decisions with transparent logic. The results were transformative: processing time decreased by 85%, capacity increased to over six thousand tasks daily, and the error rate dropped by over 95%. This saved the team up to 150 hours per day and provided a stronger, more predictable supply chain.