Supply Chain Analytics

In today’s data-rich environment, supply-chain decision that are based on intuition alone are no longer sufficient. Organizations that can turn raw data into actionable insight gain a competitive edge in cost control, services reliability and risk mitigation.

This programme equips supply-chain professionals with the analytical tools and techniques needed to measure performance, forecast demand, optimize inventory and improve decision-making across the end-to- end network.

• Foundations of Supply Chain Analytics data sources, data quality, and the analytics value chain.
• Descriptive Analytics KPI definition, scorecards and visual storytelling with Power BI or Tableau.
• Diagnosis Analytics root-cause analysis, variance decomposition and drill-down techniques.
• Demand Forecasting time-series methods, casual modeling and collaborative planning.
• Inventory Optimization safety-stock calculations, ABC-XYZ analysis and reorder-point modeling.
• Transport & Network Optimization route-optimzation basics, cost-to-serve modeling and scenario planning.
• Predictive & Prescriptive Tools introduction to simulation, linear programming and machine-learning concepts.
• Implementing an Analytics Culture governance, change-management and continuousimprovement loops.

• Supply-chain planners, analyst and demand-forecasters.
• Logistics and operations managers who need data-driven insight.
• Procurement and category-management professionals seeking to improve spend visibility .
• Senior supervisor responsible for reporting and continuous-improvement initiatives.

By the end of this Training, participants will be able to:

• Explain the role of analytics in strategic supply-chain planning and execution.
• Use descriptive, diagnostic, predictive and prescriptive analytics to solve common supply-chain problems.
• Apply statistical methods and data-visualization techniques to identify trends, variances and root causes.
• Build and interpret key performance dashboards (e.g, OTIF, fill-rate, cycle -time, cost-to-serve).
• Develop demand-forecasting models that balance inventory investment with service-level targets.
• Design scenario-analysis and optimization routines for transportation, warehousing and sourcing decisions.

• Participants will be able to turn raw supply-chain data into clear, actionable insightImproved forecast accuracy reduces excess inventory and frees working capital.
• Optimised transportation and warehousing lower operational costs by 5-15% on average.
• Robust performance dashboards enable proactive management and quicker response to disruption.
• A practical tool kit- dashboard templates, forecasting sheets, and an analytics roadmap ready for immediate deployment.

DATE:

CGFL06,Ground Floor Cancer Block, Eleganza Building 1, Commercial Road, Apapa Lagos.