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Go from executor to supply chain professional: S&OP, statistical forecasting, multi echelon inventory, strategic sourcing, and network optimization.
8 modules · 47 lessons
Sales and Operations Planning, advanced forecasting and demand analytics, advanced inventory and multi echelon optimization, strategic procurement and supplier performance, network design and cost to serve, Lean Six Sigma operational excellence, supply chain analytics and AI, and a capstone real supply chain transformation.
Level up from executor to supply chain professional. This intermediate program from Ucanly takes practitioners with working knowledge of forecasting, inventory control, procurement, and logistics fundamentals into strategic supply chain management: Sales and Operations Planning cycles, Master Production Scheduling and MRP, statistical and machine learning demand forecasting, and multi echelon inventory optimization across an entire network. You will build strategic sourcing programs with total cost of ownership analysis and supplier scorecards, optimize distribution networks and cost to serve, and apply Lean Six Sigma with DMAIC, statistical process control, and Theory of Constraints. You will also build SQL and Python analytics skills, use optimization solvers, and apply Generative AI for scenario planning and SOP automation. You will graduate having delivered a complete S&OP and network optimization case with statistical forecasting, a multi echelon inventory policy, a supplier scorecard, cost to serve analysis, and an executive savings proposal.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
It is recommended, but working knowledge of forecasting, inventory control, procurement, and logistics fundamentals is sufficient to start.
Yes, you will run a complete monthly S&OP cycle including aggregate planning, Master Production Scheduling, and consensus forecasting across functions.
You will build SQL and Python basics for analytics, use optimization solvers, apply machine learning forecasting, and use Generative AI for scenario planning and SOP automation.
A complete S&OP and network optimization case with statistical forecasting, a multi echelon inventory policy, a supplier scorecard, cost to serve analysis, and an executive savings proposal, mentored by Ucanly.