Supply Chain AnalyticsCornell Certificate Program

Supply chains have become less predictable, and teams are expected to make faster, better decisions with data across demand planning, inventory, and capacity. Cornell’s Supply Chain Analytics Certificate is built for that reality, helping you move from intuition-based planning to repeatable, measurable analysis you can use in day-to-day operations.

In this certificate program, authored by faculty from the Cornell SC Johnson College of Business, you will learn how to evaluate forecast accuracy, build time-series forecasts with and without seasonality, and quantify demand variability. You’ll also learn how to translate that demand signal into inventory decisions, network cost trade-offs, and capacity allocation choices, using practical Excel-based tools and structured exercises that mirror real planning work.

Because the learning experience is designed around applied, graded projects with expert feedback, you will finish with work products and analytical routines you can adapt to your own products, locations, and planning cycles.

If you want practical forecasting and inventory decision skills, confidence applying Excel-based supply chain analytics, and a structured learning experience with expert feedback, you should choose Cornell's Supply Chain Analytics Certificate.

Many online programs are primarily self-directed, with generic problem sets and limited feedback on how to apply the material to real operational constraints. Cornell’s Supply Chain Analytics Certificate uses a facilitated, cohort-based approach designed to keep you moving from concept to application, with an expert facilitator guiding discussions and providing feedback on your work.

You will practice with the same types of Excel workflows you are likely to use on the job, including structured templates and spreadsheet-based analysis for forecasting accuracy, seasonality, inventory trade-offs, capacity constraints, and cash flow efficiency. The Supply Chain Analytics Certificate curriculum is also designed by Cornell faculty, which means you are learning research-informed methods while focusing on practical decision making in demand planning, inventory, and operations strategy.

The result is a learning experience that is flexible enough for working professionals but not isolated. You will build skills through applied projects, discussion with a small cohort, and timely, constructive feedback that helps you improve how you use analytics in real supply chain decisions.

Enrolling in Cornell’s Supply Chain Analytics Certificate also provides you with a 6-month All-Access Pass to eCornell's live online AI Workshops, interactive sessions led by world-class Cornell faculty that combine Ivy League insight with practical applications for busy professionals. Each 3-hour Workshop features structured instruction, guided practice, and real tools to build competitive AI capabilities, plus the opportunity to connect with a global cohort of growth-oriented peers. While AI Workshops are not required, they enhance certificate programs through:

• Integrating AI perspectives across most curricula
• Responding to emerging AI developments and trends
• Offering direct engagement with Cornell faculty at the forefront of AI research

Cornell’s Supply Chain Analytics Certificate is designed for professionals who need to make or influence data-informed decisions across demand planning, inventory management, procurement, operations, or supply chain strategy.

The Supply Chain Analytics Certificate is a strong fit if you are:

• An operations analyst or supply chain analyst who wants a stronger quantitative toolkit for forecasting, inventory, and capacity decisions
• A demand planner or procurement professional who needs to diagnose variability, seasonality, and service-level trade-offs
• A market analyst supporting consumer or industrial products who needs to connect demand signals to supply planning decisions
• A consultant or cross-functional leader who wants practical, Excel-based methods you can apply across clients, categories, or business units

To get the most from the experience, you should feel comfortable writing simple Excel formulas, creating basic graphs, and working with foundational statistical ideas such as averages and variability.

Your work in Cornell’s Supply Chain Analytics Certificate centers on multi-part, applied projects that walk you through the same analytical steps you would use in a real supply chain planning cycle, using provided datasets and Excel-based tools.

Examples of the types of project deliverables you will build include:

• Calculating forecast accuracy (including MAPE) and using that performance baseline to select a forecasting approach
• Producing non-seasonal forecasts using moving average and exponential smoothing, including parameter optimization in Excel
• Building seasonal forecasts by estimating seasonal indices, deseasonalizing demand, and re-seasonalizing future forecasts
• Quantifying demand variance and measuring the bullwhip effect using variance ratios, then identifying mitigation strategies
• Setting inventory targets using base-stock and safety stock logic tied to service levels and variability
• Estimating inventory holding and shipping costs and evaluating cost trade-offs for a location and across multiple locations
• Modeling the impact of inventory pooling and demand correlation on safety stock reduction
• Determining optimal production quantities for short life-cycle products using newsvendor logic, then allocating constrained capacity across multiple items
• Analyzing production sequencing decisions when better demand information arrives later, and evaluating strategies to increase reactive capacity
• Measuring cash flow efficiency with cash conversion cycle metrics and developing recommendations to improve working capital performance
• Designing a partner coordination approach (for example, planning/integration, revenue sharing, or buybacks) and proposing a practical sustainability strategy aligned with the triple bottom line

Throughout Cornell’s Supply Chain Analytics Certificate, you will submit your work for grading and feedback, so you can refine both your calculations and the way you explain your recommendations to stakeholders.

Cornell’s Supply Chain Analytics Certificate helps you strengthen the analytical decision-making skills that employers rely on for demand planning, inventory performance, and capacity and cash flow trade-offs.

After completing the Supply Chain Analytics Certificate, you will be prepared to:

• Calculate a forecast to address demand variability
• Determine optimal inventory level and assess supply chain costs to improve overall performance
• Optimize production capacity and allocation for short-cycle products to improve supply chain efficiency
• Improve cash flow efficiency and design strategies to achieve supply chain coordination and sustainability

Students commonly describe long-term benefits as greater confidence using core analytics methods in supply chain, procurement, and demand planning roles, along with a clearer ability to connect data to practical decisions. Learners often highlight that the program’s structured progression from fundamentals to application, hands-on assignments that mirror operational challenges, and timely facilitator feedback help them make better decisions using data and apply the methods immediately at work.

What truly sets eCornell apart is how our programs unlock genuine career transformation. Learners earn promotions to senior positions, enjoy meaningful salary growth, build valuable professional networks, and navigate successful career transitions.

Cornell’s Supply Chain Analytics Certificate, which consists of 4 short courses, is designed to be completed in 2 months. Each course runs for 2 weeks, with a typical weekly time commitment of 5 to 7 hours.

Each focused course is a mix of self-paced work you can do on your own schedule and interactive elements such as discussions and live sessions that deepen application. The structure is flexible, but not hands-off. Clear weekly deadlines help you stay on track, and your facilitator is present throughout to answer questions and provide feedback as you complete the applied project work.

Students in Cornell's Supply Chain Analytics Certificate often describe it as a practical, job-relevant learning experience that helps them make better decisions using data, while building confidence with core analytics methods they can apply immediately in supply chain, procurement, and demand planning roles. They frequently highlight the program’s clear instruction, structured progression from fundamentals to application, and hands-on assignments that mirror real operational challenges.

Students commonly point to outcomes and experiences like these:

• Strong, actionable focus on demand forecasting, forecast accuracy metrics, and demand planning
• Useful frameworks for inventory optimization and capacity planning decisions
• Tools to analyze patterns like seasonality and demand variability to improve planning
• Practical ways to connect analytics to supply chain and procurement workflows
• Step-by-step approach that builds from concepts to real scenarios and integrated course projects
• Clear explanations of quantitative methods, supported by walkthroughs and examples
• Engaging expert-led videos that are easy to revisit for reinforcement
• Assignments and exercises that strengthen applied analytics skills in a realistic context
• Helpful facilitator support, including timely, constructive feedback
• Flexible online format that fits alongside full-time work, with an intuitive platform and well-organized modules

A programming background is not required for Cornell’s Supply Chain Analytics Certificate. The program is built around practical spreadsheet-based analysis, so comfort with Excel fundamentals matters more than coding.

To be ready for the Supply Chain Analytics Certificate, you should be able to write simple formulas and create basic graphs in Excel, and you should have a basic understanding of statistical ideas used in planning work, such as averages and variability. You will then build into applied methods like forecast accuracy measurement, time-series forecasting with seasonality, inventory and service-level trade-offs, and capacity and cash flow analysis using provided templates and guided exercises.

The core analysis work in Cornell’s Supply Chain Analytics Certificate is done in Excel, using guided spreadsheets and templates that help you practice each method step-by-step.

You will use common Excel capabilities that show up in real planning environments, such as:

• Formulas and tables for forecast error measurement and variance calculations
• Charting to visualize demand patterns and compare methods
• Excel Solver to optimize forecasting parameters (for example, selecting the best smoothing constant)
• Goal Seek-style analysis to explore trade-offs and constraints in inventory and capacity decisions

Because these tools are integrated into the learning activities, you can focus on the decision logic and interpretation, not just the math.

If demand swings and upstream volatility are creating service issues or excess inventory, Cornell’s Supply Chain Analytics Certificate gives you a practical way to diagnose the problem and respond with data.

You will learn how to separate predictable patterns (like seasonality) from noise by building forecasts with and without seasonal adjustments, then measure variability using variance and compare downstream demand variability to upstream shipment variability to quantify the bullwhip effect. From there, you’ll explore operational levers that reduce amplification, including better information sharing, collaborative planning approaches, and inventory strategies such as pooling that can reduce safety stock while maintaining service targets.

By the end of Cornell’s Supply Chain Analytics Certificate program, you will be better prepared to explain variability drivers to stakeholders and recommend actions grounded in measurable performance, not just assumptions.