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Orientation and Strategic Foundations for Yield Management

Course Orientation, Objectives, and Expectations for Supply Chain and Operations Managers

Strategic Role of Yield Management in Perishable Service Capacity

Clarifying Terminology and Contrasts: Yield Management vs. Yard Management System (YMS)

Core Economics, Ethics, and Customer-Centric Principles

Economics of Perishable Service Inventory and Price Elasticity

Ethical, Regulatory, and Brand Considerations in Dynamic Pricing

Analytics Backbone: Forecasting, Optimization, and Control

Demand Forecasting Under Uncertainty for Perishable Services

Dynamic Pricing, Inventory Control, and Capacity Allocation

Experimentation, A/B Testing, and KPI Design for Yield Outcomes

Technology, Data Infrastructure, and Governance

Systems Architecture for Enterprise-Grade Yield Management

Security, Compliance, and Change Management for Pricing Automation

Cross-Industry Applications and Case Practicums

Airlines and Hospitality: Fare Classes, Booking Limits, and Overbooking

Mobility, Logistics, and Events: Time Windows, Capacity Pools, and Ancillaries

Implementation Workshop and Capstone

End-to-End Yield Management Playbook and Roadmap

Capstone: Design a Yield Management Strategy for a Perishable Service

Knowledge Checks: Quizzes

Quiz 1: Strategic Foundations and Terminology

Quiz 2: Economics of Perishability and Elasticity

Quiz 3: Ethical and Regulatory Considerations

Quiz 4: Forecasting Under Uncertainty

Quiz 5: Dynamic Pricing Mechanics

Quiz 6: Capacity Allocation and Overbooking

Quiz 7: Experimentation and KPIs

Quiz 8: Technology and Architecture

Quiz 9: Security, Compliance, and Governance

Quiz 10: Industry Applications

Final Feedback

Course Feedback Survey

Master the science and strategy behind pricing perishable service capacity with Enterprise Yield Management: Principles, Analytics, and Cross-Industry Implementation. Designed for supply chain, operations, revenue, and product leaders, this course translates decades of airline- and hospitality-grade techniques into practical playbooks for mobility, logistics, events, and other capacity-constrained services. You will learn how to turn fixed, time-perishable inventory into predictable profit through segmentation, forecasting, dynamic pricing, and capacity allocation—while safeguarding customer trust and regulatory compliance. Go beyond theory with hands-on frameworks for demand forecasting under uncertainty, price ladders and fences, bid-price controls, overbooking rationale, and real-time optimization. Build an enterprise-ready architecture with data pipelines, pricing engines, APIs, and observability that scales from pilot to production. Throughout, we emphasize ethics and fairness, designing guardrails that protect brand equity, customer experience, and long-term value. Capstone work and industry case practicums help you adapt best-in-class methods to your context, bridging analytical rigor with cross-functional execution. By the end, you’ll have a complete roadmap—processes, KPIs, governance, and rollout plans—to implement yield management with confidence across your organization.

Enterprise Yield Management: Principles, Analytics, and Cross-Industry Implementation

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            <p>Enterprise Yield Management: Principles, Analytics, and Cross-Industry Implementation equips supply chain and operations managers to translate perishable capacity into sustainable profit. The course begins by establishing strategic foundations—clarifying the distinct role of yield management versus broader revenue management and differentiating it from yard management systems to prevent roadmap confusion. You will align objectives with operations responsibility, understand the importance of perishability and fixed capacity, and see how pricing, capacity allocation, and cross-functional execution converge to protect contribution margin and customer experience. Clear expectations, deliverables, and toolsets are specified early to ensure managers can operationalize concepts in live environments.</p>

<p>Building on strategy, the course develops a rigorous economics and ethics backbone for decision-making. You will examine demand elasticity, segmentation, and value capture, with practical guardrails for fairness and regulatory compliance in dynamic pricing. The analytics sequence covers forecasting under uncertainty, dynamic pricing mechanics, inventory control, and capacity allocation—including bid-price controls, protection levels, booking limits, and overbooking rationale—supported by experimentation methods that account for inventory coupling and spillover. A dedicated technology track details enterprise architecture, APIs, latency and observability guardrails, and governance for pricing automation, including auditability, incident response, and cross-functional oversight. Cross-industry practicums span airlines, hospitality, mobility, logistics, and events, translating theory into playbooks with KPIs such as revenue per available unit, spoilage, and load factor. The program culminates in an end-to-end implementation workshop and capstone, where you will design a yield strategy with ethical guardrails, an experimentation plan, and a scalable roadmap from pilot through rollout, reinforced by staged knowledge checks and a feedback survey to consolidate mastery.</p>
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