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

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

4 modules

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.

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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.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

Data-driven optimization isn’t just theory—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 videosTotal 11 minutes

Why Supply Chain Optimization Transforms Your Bottom Line3 minutes
Building Your First Gurobi Optimization Model for Route Planning8 minutes

3 readingsTotal 35 minutes

Mixed-Integer Programming Fundamentals for Supply Chain Optimization10 minutes
Supply Chain Optimization Mathematical Foundations10 minutes
Supply Chain Route Optimization with Mixed-Integer Programming15 minutes

2 assignmentsTotal 28 minutes

Route Optimization Cost-Benefit Analysis Project20 minutes
Supply Chain Optimization Fundamentals Assessment8 minutes

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

What's included

1 video3 readings2 assignments1 ungraded lab

1 videoTotal 7 minutes

Excel-Based Price-Elasticity Calculation and Revenue Simulation7 minutes

3 readingsTotal 28 minutes

Price-Elasticity Modeling Foundations for Dynamic Revenue Optimization12 minutes
Building Price-Elasticity Models for Revenue Impact Analysis10 minutes
Podcast: Customer Segmentation Strategies for Dynamic Pricing Success6 minutes

2 assignmentsTotal 24 minutes

Competitive Dynamic Pricing Strategy Development Project18 minutes
Dynamic Pricing Strategy Mastery Assessment6 minutes

1 ungraded labTotal 20 minutes

Competitive Dynamic Pricing Strategy Development Project20 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 videosTotal 20 minutes

Why Pricing Guardrails Protect Revenue and Brand Integrity3 minutes
Constraint Evaluation Techniques for Pricing Optimization Systems7 minutes
Excel-Based Pricing Guardrail Monitoring and Violation AnalysisLearning Outcome: Evaluate compliance with pre-set pricing guard-rails (floor/ceiling) and adjust rules accordingly.11 minutes

2 readingsTotal 17 minutes

Pricing Constraint Systems for Strategic Business Alignment11 minutes
Podcast: Strategic Guardrail Management in Dynamic Pricing Environments6 minutes

2 assignmentsTotal 27 minutes

Comprehensive Pricing Guardrail Optimization Strategy Project20 minutes
Pricing Guardrail Management Proficiency Assessment7 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 videosTotal 20 minutes

Why Sensitivity Analysis Protects Your Optimization Investments3 minutes
What-If Analysis Fundamentals for Optimization Robustness Testing6 minutes
Excel-Based Sensitivity Analysis and What-If Scenario Modeling11 minutes

1 readingTotal 5 minutes

Podcast: Risk Management Through Optimization Sensitivity Analysis5 minutes

3 assignmentsTotal 53 minutes

Comprehensive Course Assessment - Optimize Supply & Pricing Mastery30 minutes
Comprehensive Optimization Risk Assessment and Sensitivity Strategy Project18 minutes
Sensitivity Analysis Mastery Assessment5 minutes

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Instructor

Hurix Digital

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