Supply Chain Analytics Portfolio · A 12-month program
Senior supply chain professionals learning the analytics and decision science the job actually requires. Built by an operations research PhD and a two-time Best Professor. Designed for working practitioners, not students.
Apply now — 2 minutes12 months · 4–8 hrs/week · 14-day money-back guarantee
The pattern most senior practitioners quietly recognize
You spend your week firefighting.
The work that would prevent the fires never gets done.
You forecast from the gut.
You catch obvious seasonality — but you suspect the data is showing you more than you can see.
One inventory rule applied to everything.
You know products and customers behave differently. You don't have the tools to set policies that reflect it.
You rebuild the same analysis every month.
Pull, clean, pivot, present. Then do it again.
What changes
Walk into S&OP with a forecast you can defend.
Methodology explicit. Confidence intervals attached. The room listens differently.
Quantify risk before it's a crisis.
What a single-customer concentration costs. What a supplier failure costs. In numbers.
Become the person leadership calls for structural decisions.
Not just operational firefighting — the questions that shape the business.
Earn what your expertise is worth.
Because you can prove it.
The program
A 12-month program that teaches you to solve supply chain problems with data analytics, data science, and operations research. You leave with a portfolio of real work — proof you can do the job, not a certificate that says you took a course.
A sequenced curriculum
300+ lessons in the order that builds the skill. Not a YouTube rabbit hole.
A portfolio, not a certificate
5+ capstones and mentored mini-projects from your own work. Built to be shown.
Code that adapts to your job
50+ runnable notebooks and a prompt library. Applied to your data, not toy datasets.
Real supply chain problems
25+ case studies on inventory, network design, forecasting, Beer Game, TSP.
The full industrial stack
20+ Python libraries, Power BI, SQL, generative AI. Tools used the industrial way.
Small group. Direct feedback.
Bi-weekly live sessions, instructor feedback, career coaching, a real community.
Curriculum · 12 months · 6 modules
Skip the sequence and you get someone who can build charts but can't defend a recommendation.
Python and SQL foundations
NumPy, Pandas, Matplotlib. Debug with AI. Connect Python to SQL to pull and manage data.
Descriptive analytics
Inventory turnover, OTIF, stockouts, demand variability. Storytelling and Power BI dashboards.
Diagnostic analytics
From what to why. Regression, causal inference, machine learning applied to delays and bottlenecks.
Predictive analytics
Demand, lead times, supplier risk. ARIMA, SARIMA, Prophet. Intermittent demand and forecast accuracy.
Prescriptive: simulation
Monte Carlo and discrete-event. Markov chains, scenario planning, digital twins.
Prescriptive: optimization
Facility location, inventory placement, routing. LP, MILP, metaheuristics, stochastic programming.
The founders
Luis Fernando Pérez
PhD in operations research · Professor, twice honored Best Professor
Luis owns the technical curriculum — the modeling, the math, the operations research that runs underneath every supply chain decision. He holds a PhD in operations research and teaches at a top business school in France. The reason this program reaches stochastic programming and metaheuristics, not just moving averages, is him.
Stephania Kossman
PhD in mechanics of materials · Co-founder and CEO of Savila Education
Steph designs how Luis's depth becomes teachable. She owns the pedagogy, the program design, and the way master's-level operations research meets working professionals who haven't opened a textbook in fifteen years. Without her, this is a textbook. With her, it's a program a working professional can actually finish.
Competence builds proof. Proof builds confidence. Confidence creates impact.
One cohort so far · Two stories worth telling
Hired at Decathlon. Three months in.
He started posting his in-progress case study work on LinkedIn while the program was still running. Decathlon found him. He was hired before he had even finished. The portfolio was not a polished marketing asset — it was visible proof he could do the work.
Placed at a major e-commerce company.
The second student joined through his employer and applied the program directly to an internal project. Confidentiality keeps us from naming the company. The project ran, it shipped, he is still there using what he built.
Want to be the third story?
What you are signing up for
Tuition
€3,700 + tax
One payment · or €340/month × 12 (pay in full and save €380) · taxes apply according to your country
Frequently asked
Do I need to know Python?+
No. We start from zero and teach Python as a tool for analytics — not as a heavy CS course.
Can I do this while working full-time?+
Yes. 4–8 hours per week, self-paced within a 12-month arc.
Why 12 months?+
There is no shortcut to depth. Forecasting, diagnostics, prediction, simulation, and optimization have to be learned in sequence.
Why learn Python if Gen AI can code?+
AI is only as good as the instructions you give it. Python lets you guide AI precisely and adapt the output to real problems.
Will I receive a certificate?+
Yes — plus a portfolio of real projects, which is the actual differentiator.
What if it is not for me?+
14-day money-back guarantee. Email hello@savilaeducation.com and we refund in full.
Do you offer partial scholarships?+
Yes, in specific cases. Email hello@savilaeducation.com with your situation.
Apply
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