
NOW LEARN HOW TO SOLVE
YOUR PROBLEMS WITH DATA.
✔ Leave with a portfolio full of proof that you can solve real supply chain problems with data
✔ Make decisions you can defend with evidence
✔ Build the career AI can't replace
Your First Name
Your Best Email
Biggest frustration with data in your supply chain job?
What do you do in supply chain?
You spend your week firefighting. The work that would prevent the fires never gets done.
You forecast from the gut. You can spot obvious seasonality, but you suspect you're missing what the data could show you.
Your inventory policy is one rule applied to everything. You know products and customers behave differently — you just 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.
Walking into S&OP with a forecast you can defend — methodology explicit, confidence intervals attached.
Quantifying risk before it's a crisis. Knowing what a single-customer concentration or supplier failure actually costs.
Becoming the person leadership turns to for the structural questions, not just the operational ones.
Earning what your expertise is worth, because you can prove it.
If this resonates with you...
Take a look at what’s waiting inside
Learn to solve supply chain problems through data analytics, data science, and operations research. Discover what happened, why it happened, what’s next, and what to do about it. With Python, SQL, generative AI, solvers,... you will turn data into practical solutions that create impact.






This is master's-level operations research, taught by a PhD in the field, applied directly to inventory placement, network design, capacity decisions, and the trade-offs you make every week.
Kick off with Python essentials: write code, work with NumPy arrays, Pandas dataframes, and build simple visuals with Matplotlib. Practice debugging with AI tools like ChatGPT, and connect SQL queries with Python to pull and manage data.
Work with data from SQL, Excel, and CSV files, clean it, and turn it into reports in Excel, Word, and PowerPoint. Analyze supply chain metrics like inventory turnover, stockouts, OTIF, demand variability, and customer/order trends. You’ll also apply text analytics with AI, practice data storytelling, and build dashboards in tools like Power BI.
Go beyond “what happened” to uncover why. Use correlation, regression, and causal inference to explain issues like stockouts, demand drops, and supplier performance. Apply machine learning methods like Random Forests, clustering, and anomaly detection to identify drivers of delays, cancellations, and bottlenecks.
Move from explaining the past to anticipating the future. Build regression and classification models to forecast demand, predict lead times, and assess supplier risk. Apply time-series forecasting with ARIMA, SARIMA, and tools like Prophet to tackle intermittent demand, evaluate forecast accuracy, and combine models for more reliable business decisions.
Test decisions before making them. Run Monte Carlo and discrete-event simulations in Python to model risks, bottlenecks, and “what-if” scenarios for inventory, logistics, and production. Work with probability distributions, Markov chains, and scenario planning (best, worst, likely cases), and explore digital twins to evaluate policies and prepare for disruptions.
Learn how to design and optimize supply chain networks and decisions with Python. You’ll work on problems like where to place facilities, how much to stock, how to balance production lines, and how to route deliveries — using both heuristics and optimization (LP, MILP, metaheuristics). The module also covers uncertainty (newsvendor, stochastic programming), multi-objective trade-offs, and decision tools like AHP, giving you a toolkit to balance cost, service, and resilience.
Presenting Projects and Results to Stakeholders – Learn how to adapt your message so your insights influence decisions at every level.
Mastering the Job Interview Process – Get practical strategies to stand out and present your skills with confidence.
Building a LinkedIn Profile and CV That Open Doors – Show your impact clearly and create opportunities for an impactful career.

They are researchers and educators driven by one principle: science-backed learning that creates real change. Luis holds a PhD in Operations Research and Stephania in Mechanics of Materials. Together, they equip professionals to solve problems with clarity and precision.
Our Mission
We build confidence through competence. By training supply chain professionals in analytics and decision intelligence, we empower them to transform their lives, their work, and their careers, turning that growth into impact in the world.
Our Focus
Competence builds proof. Proof builds confidence. Confidence creates impact. This is the journey every learner takes with us.

The form helps us understand your background, goals, and motivation — and make sure the program is the right fit for you.
If you’re truly ready to grow, you’ll shine in the process.
Supply chain, operations, and logistics professionals with 5+ years of experience. You don't need a technical background, but you should already be making real decisions in your role.
We accept profiles with less experience, because careers journeys are different.
If you think that this is for you APPLY.
No. We guide you step by step, even if you’ve never used Python before. You’ll learn Python as a tool for analytics and optimization in supply chain — no heavy coding background required.
We also show you how to use Gen AI to make your learning journey faster and easier.
Problem-first learning → Start with real supply chain challenges connecting step-by-step to the the tools and concepts that you need.
Depth → Beyond dashboards and basic analytics: Automation, ML, optimization, simulation, solvers.
Research-backed learning methods → Lessons designed with behavioral science so complex skills stick.
Built by experts → Taught by researchers in operations research and analytics, who turn PhD and master’s-level knowledge into practical skills.
Real outcomes → A portfolio that proves you can solve supply chain problems with advanced analytics + confidence.
Human support → Small groups, fast feedback, close guidance on both projects and career steps
Yes. 4–8 hours/week depending on the module. Self-paced within a 12-month arc.
No shortcut to depth. Statistical forecasting, diagnostics, predictive models, simulation, and optimization have to be learned in sequence. Skip the sequence and you get someone who can build charts but can't defend a recommendation.
Bi-weekly live sessions to get clarity.
Private peer community to share and learn together.
We offer a 14-day money-back guarantee. Try it risk-free — if it’s not the right fit, email us at hello@savilaeducation.com for a full refund.
Yes and more. You’ll get a certificate of completion, but also a portfolio of real projects that proves you can solve supply chain challenges with Python, data science, and operations research. This portfolio is your real differentiator.
AI is a great assistant (that we will use in the program), but it only works as well as the instructions you give it. Understanding Python lets you:
Guide AI tools more precisely.
Troubleshoot issues.
Adapt AI-generated code to real supply chain problems.
In short: Gen AI helps, but Python + your expertise ensures the solution works.
Starting at €3700 + taxes
We offer payment plans and partial scholarships according to the profile, just reach out at hello@savilaeducation.com
From busywork to problem-solving. From competence to confidence.
Learn and apply data analytics, data science, operations research directly to real supply chain and operations challenges.
🗓️ Start: Now, because the best moment is now, not when you feel ready or that you have the time.
🎓 For supply chain professionals with 5+ years of experience
⏳ Duration: 12 months of live support, self-paced (apply skills from Week 1)
📍 Format: Online + live community sessions every 2 weeks
💼 Outcome: analytical + problem-solving mindset with the technical skills to deliver. Portfolio-ready projects applied to supply chain
and community
🤝 Support: community for accountability + direct feedback from instructors
🤖 Python, applied to your real work
💸 14-day money-back guarantee
💶 €3700 + taxes (possibility to pay in several instalments)

679, avenue de la République, 59800 Lille, France
email: hello@savilaeducation.com