
Elevator Design Work Optimization
Project Description
In the original workflow, the design department often spends a great deal of manpower confirming internal documents, then relies on experienced colleagues to assign cases of varying complexity to different teams for handling. The system deployed by Neurelli pre-processes complex information and recommends the appropriate team to handle it, helping experts speed up assignment.
Project Challenges
Elevator manufacturing involves many mechanical design details and conditions that need to be verified. During data cleansing, it is necessary for us to understand the relationships among the various conditions and organize the data into rules that can be programmed. The process of building the system relies on industry knowledge and experience; in addition to frequent communication, it also requires the customer to use the system so that AI can effectively analyze rules that have not been standardized through data.
Solution
Neureili, by analyzing the logic of clients’ internal systems and comparing past data, organizes conditions that have occurred regularly in the past into standardized data, and builds a system that enables experts to optimize existing workflows.

Result
The system can use past data to predict which work unit should handle newly arrived contracts, and experts only need to compare discrepant data and monitor the system's recommended results when non-standard contracts appear. With system assistance, the average processing speed improved from 15 minutes to 1 minute 30 seconds.