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⇱ Optimize Supply & Pricing | Coursera


Optimize Supply & Pricing

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Optimize Supply & Pricing

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Mathematical optimization turns inefficiencies into competitive advantages by revealing cost-saving opportunities often missed.

  • Dynamic pricing balances elasticity with business rules to optimize revenue without harming brand or customer trust.

  • Sensitivity analysis shows how solutions respond to demand changes, supporting proactive decisions and continuity planning.

  • Optimization projects succeed when they deliver measurable financial impact with clear metrics and aligned objectives.

Details to know

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Recently updated!

April 2026

Assessments

9 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the AI Techniques, Causal Inference & Business Optimization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Data-driven optimization isn’t just theoryβ€”it’s a competitive advantage. This short course equips data analysts with practical optimization techniques that deliver measurable business impact.

Learners will build routing models to reduce logistics costs, implement elasticity-driven dynamic pricing strategies, and evaluate solution robustness under demand uncertainty. The course blends hands-on Gurobi optimization with Excel-based simulations to ensure skills translate directly into real-world ROI. By the end of this course, you will be able to: Apply mixed-integer programming to minimize logistics costs under delivery constraints Build price-elasticity models that simulate dynamic pricing scenarios Evaluate optimization sensitivity to demand forecasting errors Validate pricing compliance with business guardrails This course is unique because it combines hands-on Gurobi modeling with real Excel-based simulations, delivering immediately applicable skills that translate into measurable ROI. To be successful in this project, you should have a background in basic statistics, Excel proficiency, and familiarity with business analytics concepts.

Learners will apply mixed-integer programming to minimize logistics costs under delivery-time constraints and report savings %.

What's included

2 videos3 readings2 assignments

2 videosβ€’Total 11 minutes
  • Why Supply Chain Optimization Transforms Your Bottom Lineβ€’3 minutes
  • Building Your First Gurobi Optimization Model for Route Planningβ€’8 minutes
3 readingsβ€’Total 35 minutes
  • Mixed-Integer Programming Fundamentals for Supply Chain Optimizationβ€’10 minutes
  • Supply Chain Optimization Mathematical Foundationsβ€’10 minutes
  • Supply Chain Route Optimization with Mixed-Integer Programmingβ€’15 minutes
2 assignmentsβ€’Total 28 minutes
  • Route Optimization Cost-Benefit Analysis Projectβ€’20 minutes
  • Supply Chain Optimization Fundamentals Assessmentβ€’8 minutes

Learners will build a price-elasticity model and simulate revenue impact of dynamic-pricing rules, achieving β‰₯5% projected uplift.

What's included

1 video3 readings2 assignments1 ungraded lab

1 videoβ€’Total 7 minutes
  • Excel-Based Price-Elasticity Calculation and Revenue Simulationβ€’7 minutes
3 readingsβ€’Total 28 minutes
  • Price-Elasticity Modeling Foundations for Dynamic Revenue Optimizationβ€’12 minutes
  • Building Price-Elasticity Models for Revenue Impact Analysisβ€’10 minutes
  • Podcast: Customer Segmentation Strategies for Dynamic Pricing Successβ€’6 minutes
2 assignmentsβ€’Total 24 minutes
  • Competitive Dynamic Pricing Strategy Development Projectβ€’18 minutes
  • Dynamic Pricing Strategy Mastery Assessmentβ€’6 minutes
1 ungraded labβ€’Total 20 minutes
  • Competitive Dynamic Pricing Strategy Development Projectβ€’20 minutes

Learners will evaluate compliance with pre-set pricing guard-rails (floor/ceiling) and adjust rules accordingly.

What's included

3 videos2 readings2 assignments

3 videosβ€’Total 20 minutes
  • Why Pricing Guardrails Protect Revenue and Brand Integrityβ€’3 minutes
  • Constraint Evaluation Techniques for Pricing Optimization Systemsβ€’7 minutes
  • Excel-Based Pricing Guardrail Monitoring and Violation AnalysisLearning Outcome: Evaluate compliance with pre-set pricing guard-rails (floor/ceiling) and adjust rules accordingly.β€’11 minutes
2 readingsβ€’Total 17 minutes
  • Pricing Constraint Systems for Strategic Business Alignmentβ€’11 minutes
  • Podcast: Strategic Guardrail Management in Dynamic Pricing Environmentsβ€’6 minutes
2 assignmentsβ€’Total 27 minutes
  • Comprehensive Pricing Guardrail Optimization Strategy Projectβ€’20 minutes
  • Pricing Guardrail Management Proficiency Assessmentβ€’7 minutes

Learners will evaluate sensitivity of the optimized plan to demand-forecast errors using a what-if analysis.

What's included

3 videos1 reading3 assignments

3 videosβ€’Total 20 minutes
  • Why Sensitivity Analysis Protects Your Optimization Investmentsβ€’3 minutes
  • What-If Analysis Fundamentals for Optimization Robustness Testingβ€’6 minutes
  • Excel-Based Sensitivity Analysis and What-If Scenario Modelingβ€’11 minutes
1 readingβ€’Total 5 minutes
  • Podcast: Risk Management Through Optimization Sensitivity Analysisβ€’5 minutes
3 assignmentsβ€’Total 53 minutes
  • Comprehensive Course Assessment - Optimize Supply & Pricing Masteryβ€’30 minutes
  • Comprehensive Optimization Risk Assessment and Sensitivity Strategy Projectβ€’18 minutes
  • Sensitivity Analysis Mastery Assessmentβ€’5 minutes

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