Purpose of Today:

Today you are putting together everything you learned —
You will solve a full real-world supply chain analytics case from scratch.

This exercise is critical because interviews, case studies, and real projects demand end-to-end thinking —
not just solving formulas but:

• Understanding the business problem,
• Designing data questions,
• Performing clean analysis,
• Summarizing insights,
• Recommending actions.

Today, you will practice being a complete analyst — not just a "spreadsheet operator."

Today's Mission:

Simulate solving a real supply chain analytics business problem — end-to-end, calmly and professionally.
By the end of today, you will be able to structure cases clearly, solve with logic, and recommend next steps confidently.

"Good analysts find insights. Great analysts drive business action."

Today's Action Plan (SPARK Method)

1. Structured Learning (S) — Full Case Solving Framework

Ask U2xAI:
"Explain step-by-step: how to solve a supply chain analytics case."

Case Solving Steps:

1. Frame the Business Problem:
   • Understand and restate the problem in simple business language.
2. Define KPIs and Data Needs:
   • What needs to be measured?
   • Example: Stockout rates, inventory turnover, supplier delivery times.
3. Plan Data Analysis:
   • How will you explore the data?
4. Perform Analysis:
   • Clean data → Summarize KPIs → Visualize key trends.
5. Generate Insights:
   • What patterns emerge?
6. Recommend Actions:
   • Suggest clear, actionable steps based on findings.

Example:

"Prioritize better supplier contracts for Category A. Increase safety stock for Category B."

Example:

"90% of stockouts are happening in just 3 product categories."

Example:

"I’ll calculate stockout rate by product, supplier performance metrics, trend over months."

Example:

"Stockouts are increasing. Why? How can we improve?"

Highlight:

"Start simple. Build structure first. Analysis will flow naturally."

2. Practical Case Mastery (P) — Solve a Real Supply Chain Scenario

Step 1: Solve this Full Case:

Case Scenario:

• Company: FreshGo, a grocery supply chain.
• Problem: Stockouts in key products are increasing, causing lost sales.

Dataset Provided (simulate in Google Sheets or Excel):

• Product ID, Product Name
• Category
• Total Sales
• Stockouts (number of times out of stock)
• Supplier Name
• Average Supplier Delivery Delay (days)

Tasks:

• Step 1: Frame the problem in simple business language.
• Step 2: List 3–5 important KPIs to track.
• Step 3: Analyze:
  • Which products have the highest stockouts?
  • Which suppliers have the highest average delivery delays?
• Step 4: Summarize Insights:
  • Link stockouts to supplier performance if possible.
• Step 5: Recommend clear actions:
  • Example: Reorder schedules, alternative suppliers, safety stock increases.

Ask U2xAI: "Give me feedback on my full FreshGo case analysis and recommendations."

3. Actionable Practice (A) — Submit Full Case Solution

Assignment:

• Create a simple slide deck or one-pager summary covering:
  1. Business Problem
  2. Data and Metrics
  3. Key Analysis Findings
  4. Recommended Actions

(Optional templates provided by U2xAI or your instructor.)

Checklist for Submission:

• Clear problem framing
• Logical KPIs selected
• Clean analysis and summaries
• Professional tone
• Simple visuals (charts/tables if possible)

Ask U2xAI: "Score my case solution for business clarity, structure, and insightfulness."

Highlight:

"Finish your case like a consultant would — crisp, clear, and business-focused."

4. Real Interview Simulations (R) — Final Case Presentation Practice

Mock Interview Questions:

• "What were the 2 biggest insights you found in this case?"
• "Which KPI would you prioritize fixing first, and why?"
• "If you had one week, what action would you recommend the company start with?"
• "How would you explain stockouts and supplier issues to a non-technical CEO?"

Practice your answers using:

• Clear structure (Problem → Data → Insight → Action).
• Calm, professional language.

Ask U2xAI: "Simulate a live case Q&A with me."

5. Killer Mindset Training (K) — Calm Full-Case Solving Visualization

Mindset Challenge:

• In real interviews and jobs, you rarely know 100% of the data or context.
• Calm structure beats panicking.

Guided Visualization with U2xAI:

• Picture yourself walking into an interview.
• Visualize them giving you a messy case.
• See yourself calmly breaking it down:
  • Framing the problem,
  • Picking smart KPIs,
  • Finding patterns,
  • Recommending actions,
  • Finishing with a confident smile.

Daily Affirmations: "I structure problems clearly and calmly."
"I find patterns and suggest smart actions."
"I guide teams from data to decisions."

Mindset Reminder:

"Solving cases isn't about perfection. It's about structured thinking under real-world messiness."

End-of-Day Reflection Journal

Reflect and answer:

• How clearly did I frame today’s supply chain problem?
• Where did I get stuck in data analysis or KPIs?
• How would I explain to a CEO: "Why solving stockouts matters for business success?"
• How confident am I now tackling a full case without fear? (Rate 1-10)
• What small improvement (framing, visual summary, prioritizing actions) will I sharpen for next time?

Optional Bonus:
Ask U2xAI: "Give me 3 more mini supply chain cases to practice framing and solving."

Today’s Learning Outcomes

By completing today’s full case, you have:

• Practiced framing, analyzing, and solving real-world business cases.
• Simulated end-to-end analyst thinking from messy problem to clear action.
• Practiced real interview-style Q&A around your insights.
• Strengthened your ability to stay structured, clear, and calm even with open-ended problems.

Closing Thought:

"Great analysts don't just solve what is asked. They discover what needs to be solved."