Optimize Supply & Pricing
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Optimize Supply & Pricing
This course is part of AI Techniques, Causal Inference & Business Optimization Specialization
Instructor: Hurix Digital
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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.
Skills you'll gain
- Process Improvement and Optimization
- Revenue Management
- Model Optimization
- Customer Demand Planning
- Regulatory Compliance
- Risk Analysis
- Operations Research
- Transportation, Supply Chain, and Logistics
- Forecasting
- Process Optimization
- Supply Chain
- Simulation and Simulation Software
- Demand Planning
- Business Analytics
- Transportation Management
- Compliance Management
- Logistics
- Logistics Management
- Operational Analysis
Tools you'll learn
Details to know
April 2026
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There are 4 modules in this course
Data-driven optimization isnβt just theoryβitβs 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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