Solutions

Pain point：Frequent order changes make it hard to balance capacity and delivery dates; scheduling relies on experience and manual oversight, and mistakes are costly.

How the Agent helps：The Agent combines capacity, order, and material data to auto-generate scheduling recommendations, flags anomalies like rush orders or shortages, and proposes adjustable options for one-click confirmation.

Expected outcome：Scheduling response time drops from days to minutes, with a significant improvement in on-time delivery rate.

Pain point：Inventory data scattered across multiple plants and warehouses; shortages and dead stock are discovered late; procurement decisions rely on manual roll-ups.

How the Agent helps：The Agent continuously monitors inventory and demand data, identifies shortage/dead-stock risk, generates replenishment or transfer recommendations, and proactively alerts the relevant owner.

Expected outcome：Shortage alerts move from days to a week ahead of time, cutting dead stock and emergency procurement costs.

Pain point：Monthly/weekly reports require manually exporting and reconciling data from multiple systems — slow and error-prone.

How the Agent helps：The Agent automatically pulls, cleans, and aggregates data from ERP/MES/Excel and other sources into pre-defined report templates, with anomaly summaries attached.

Expected outcome：Report turnaround drops from days to minutes, giving management real-time visibility.

Pain point：Equipment repair requests and customer tickets are logged, assigned, and tracked manually — slow response and dropped follow-ups.

How the Agent helps：The Agent automatically ingests tickets from multiple channels, assigns them intelligently by rule, tracks progress continuously, and suggests resolutions based on historical cases.

Expected outcome：Faster ticket response times and a marked reduction in dropped follow-ups.