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Order Processing Streamlining Order Processing with RPA Automation Key Solution: Robotic Process Automation (RPA) Challenge Heterogeneous Order Formats: Customers use various systems (e.g., POS and EDI) with differing data formats and operational methods, forcing employees to manually enter order data into the company system. Labour Intensive and Error-Prone: The manual input process is time-consuming, increases labour costs,

Fault Detection Optimising Equipment Fault Detection with RPA Automation Key Solution: Robotic Process Automation (RPA) Challenge Manual Data Handling Issues: Employees manually copy sensor data, which can lead to errors and omissions, resulting in delayed fault detection. Production Impact: Late discovery of equipment faults can severely disrupt production and incur significant costs. Inefficient Monitoring: Manual monitoring cannot support

Collection of Complaints Enhancing Complaint Collection Efficiency with RPA Key Solution: Robotic Process Automation (RPA) Challenge Data Overload and Repetition: The manual process of collecting complaint data from the 12321 external website involves handling large volumes of data with high repeatability, making it time-consuming and labour-intensive. Timeliness Issues: Delays in processing complaints, particularly those received via telephone,

DCM Case Assignment Optimising DCM Case Assignment with RPA Key Solution: Robotic Process Automation (RPA) Challenge Large Data Volume: The manual process involves processing a high volume of call cases, which must be queried, exported, and allocated by various categories—making it time-consuming and labour-intensive. Timeliness Issues: The current manual system hinders business processing frequency and fails to

12321 External Platform Case Handling Process Optimising Complaint Processing with RPA Automation Key Solution: Robotic Process Automation (RPA) Challenge Manual Data Handling: Customer service staff must log into the 12321 external platform to manually retrieve and process complaint data, a process that is both time-consuming and highly prone to errors and omissions. Timeliness Constraints: With manual processing

Digital Staff Assurance Coverage Compliance Enhancing Underwriting Compliance and Profitability with RPA Key Solution: Robotic Process Automation (RPA) Challenge Data Complexity and Inconsistency: Manually extracting policy data from renewal lists and collecting valuations from multiple external sources (e.g., Nada, KBB, Edmunds) is error-prone and inefficient. Compliance Risks: The manual process may struggle to consistently meet audit and

SCE Order Forecast Optimising Production Order Forecasting with RPA Automation Key Solution: Robotic Process Automation (RPA) Challenge Manual Order Forecasting: The supply assurance team must log into the SCE system to download the Goods Issue (GI) checklist and Order list, then manually compare these to identify orders that have not yet been created. Complex Order Creation: For

Production Disruption Monitoring & Warning Report Optimising Production Disruption Monitoring with RPA Automation Key Solution: Robotic Process Automation (RPA) Challenge High Data Volume and Complexity: The manual process requires handling over 2000 data points, making it difficult to accurately monitor production disruptions. Labour Intensive and Error-Prone: Manual data entry takes approximately 6 hours per instance and is

Part Lists Maintenance & Updates Optimising Part List Maintenance with RPA Automation Key Solution: Robotic Process Automation (RPA) Challenge High Data Volume and Manual Labour: Maintaining and updating part lists involves processing over 5000 records manually, which is time-consuming and labour intensive. Error-Prone Processes: Manual data entry often leads to errors and omissions, introducing operational risks that

Exporting BOM Report Optimising BOM Report Exporting with RPA Automation Challenge Labour-Intensive Process: Manually exporting BOM reports requires 3 hours of manual work, making it time-consuming and inefficient. High Risk of Errors: The manual filling process is prone to errors and omissions, which can lead to operational risks and compromise production planning. Inefficient Resource Use: The reliance on