Integrate: Applied process mining to inventory and warehouse management systems, integrating historical sales data, market trends, and supplier lead times for enhanced forecasting accuracy.
Discover: Identified inconsistencies in inventory levels, frequent stockouts, and surplus stock buildup due to inaccurate demand planning. Analysis showed inefficiencies in reorder points and safety stock levels.
Understand: Assessed seasonal demand fluctuations, slow-moving inventory, and procurement cycles. Found that traditional forecasting models failed to account for sudden demand spikes or supplier constraints.
Act: Deployed AI-driven demand forecasting models, automated replenishment alerts, and dynamic stock level adjustments across multiple warehouse locations. Introduced just-in-time inventory strategies to reduce excess stock while ensuring availability.
Monitor: Used real-time dashboards to track stock movement, order fulfillment rates, and demand patterns, allowing continuous procurement and supply chain strategy adjustments.
Connect the ESG processes with the out-of-the-box connector for sustainability management systems. Configure relevant KPIs, including carbon footprint and ESG compliance rates.
Process Mining reveals inefficiencies in energy use and waste management. Further analysis identifies specific operations and facilities contributing to high emissions.
Implement energy-saving initiatives, optimize waste management processes, and engage suppliers with better ESG practices.
Monitor the metrics carbon footprint reduction and ESG compliance to ensure continuous improvement in sustainability efforts.
Map out waste generation and management processes to identify areas of high waste output. Use process mining to create a detailed overview of waste sources and disposal methods.
Analyze the types of waste generated and the efficiency of current waste management practices. Assess the environmental impact of each type of waste and identify major contributors.
Implement waste reduction strategies, enhance recycling processes, and engage with suppliers to reduce packaging waste. Develop programs to reduce, reuse, and recycle waste materials.
Track waste generation and recycling metrics to ensure continuous improvement in waste management practices. Set up dashboards to visualize waste trends and progress towards goals.
Connect the accounts receivable process with the out-of-the-box connector for financial management systems. Configure relevant KPIs, including Days Sales Outstanding (DSO) and overdue invoice rate.
Process Mining identifies late payment patterns and customers with high overdue invoices. Further analysis shows specific billing issues and payment delays.
Enhance invoice accuracy, implement automated payment reminders, and offer early payment discounts to incentivize timely payments.
Monitor the metrics Days Sales Outstanding (DSO) and overdue invoice rate to ensure continuous improvement in accounts receivable management.
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