Interview prep · Monday 12 October 2026 · Samsung Biz Ops demand planning

Biz Ops Crash Course

Everything in the job description, explained from zero for someone coming from IT. Read it top to bottom on Saturday, practise on Sunday, skim the cheat sheet on Monday morning.

New · go deeper Planning Arena: learn it by playing it 17 interactive modules: supply chain cycle, demand planning cycle, S&OP and stakeholders, seasonality, forecasting techniques, accuracy and bias, ABC, inventory levels, holding cost, lead time, safety stock, reorder point, bullwhip. Plus forecast-against-the-bots, the Beer Game, ROP Survival, spaced-repetition flashcards and a final exam. Enter the Arena →
Next weekYour forecast window: 24 weekly buckets. Dark = near term, mostly fixed by supply lead time24 weeks out
The jobWeekly forecast and inventory analystBetween Samsung's sales teams and its supply chain
The core toolPSI table + ExcelPurchases, sales and inventory by account, product and week
Your edgeData accuracySQL validation and root-cause habits from software work

One rule for every answer: talk only about experience you really have. Where you have none, say so plainly and show what you've learned and practised. All numbers on this page are illustrative, not Samsung data.

If you remember one thing

The job is a six-step weekly loop

Every responsibility in the JD is one of these steps. If you can explain them in your own words, you understand the role.

  1. Check the numbers (PSI)

    Pull the week's sales, purchases and stock for every account and product. Spot what moved.

    JD: "Analyze weekly Purchase Sales Inventory (PSI) to identify demand fluctuation by accounts & products"

  2. Clean and shape demand

    Fix data errors, tag one-off promotions, adjust for known events, all before the weekly deadline.

    JD: "weekly demand shaping/cleaning prior to weekly cutoff timing"

  3. Agree and load the forecast

    Agree the numbers with the sales and account teams, add the safety buffer, and load the AP2 forecast into the system.

    JD: "Load AP2 Forecast (including buffer management & logic) based on leadership direction & consensus"

  4. Publish the weekly report

    What changed since last week, what's at risk, and what it means in dollars against the sales plan.

    JD: "weekly AP2 reports including week over week changes, risks, and financial implications"

  5. Match supply to the plan

    Check factory arrival dates, reconcile channel inventory, and confirm or adjust purchase orders.

    JD: "Monitor … product arrival schedules from factories to execute weekly Purchase Order Confirmation"

  6. Stop stock from getting old

    Find aging stock, plan how to sell it down, and move it to where it sells faster.

    JD: "weekly aging product monitoring … depletion plan … re-allocate EOH"

The business in one picture

Follow one phone from factory to customer

The factory has to decide how many to build weeks before anyone buys. Too few means empty shelves and lost sales. Too many means phones losing value in a warehouse. Demand planning exists to get that number right.

FactoryA Samsung plant (for phones, often in Asia) builds it; ship takes weeks, air takes days
Sales subsidiarySamsung's company in the country (here, presumably the US), with its warehouses
AccountVerizon, AT&T, T-Mobile, Best Buy, Walmart, Amazon
ConsumerBuys in a store or online
Factory → subsidiary: arrivals, POsSubsidiary → account: sell-inAccount → consumer: sell-throughStock left at the account: channel inventory
WhoWhat they areSoftware comparison
Sales subsidiarySamsung's company in one country. Buys from HQ, sells to accountsA regional deployment
Biz OpsTurns sales input into numbers the supply chain can act on. This is the team you'd joinThe integration layer between two systems
CarriersVerizon, AT&T, T-Mobile. Sell phones with service plans; promotions cause sudden spikesA client with bursty traffic
RetailersBest Buy, Walmart, Target, Costco, Amazon. Many brands; seasonal peaks (back-to-school, holidays)A client with predictable seasonal load
Account teamsSamsung people who own each customer relationship. Your main counterparts every weekClient-facing account managers
Tap each one open

The 18 concepts, from zero

Each card has the plain-English meaning, an everyday example, the numbers, a software comparison, and how interviewers ask about it with a one-line answer you can adapt.

Change the numbers, watch what happens

Practice calculators

These are the three calculations most likely to come up. Change any input. The sentence under each tool is how you'd say the result in the interview.

1 · PSI table and weeks of supply

WeekOpeningPurchases (sell-in)Sales (sell-through)Ending (EOH)WOS

2 · Forecast accuracy: MAPE vs WAPE vs bias

ModelForecastActualError F − A% error
MAPE (each model equal)–
WAPE (weighted by volume)–
Accuracy = 1 − WAPE–
Bias (+ = too high)–

3 · Reallocating Samsung-held stock between two locations

X weeks to deplete–
Y weeks to deplete–

Tap the card to flip it

Flashcards

Say the answer out loud before you flip. Shuffle and go again until none of them surprise you.

Twelve questions, instant feedback

Self-check quiz

Work the maths on paper first, then tap your answer.

Your real background, mapped to the JD

Your story

This example is for someone moving from software development into planning. Swap in your own roles, exact titles and degree, and build every answer from those. The table shows how each part of your background connects to what this team needs.

What the JD wantsWhat you really haveHow to say it
Find trends, variances, risksSQL data validation, root-cause analysis of production issues"I'm used to tracing a wrong number back to its source. That's what PSI checks and reconciliation are."
Advanced ExcelStrong SQL. Excel (PivotTables, XLOOKUP) is on your draft resume: only claim what you can do liveExplain each Excel tool as its SQL twin. Mention the practice exercises only once you've actually done them, and name which ones
Reports and dashboardsBuilt reports and dashboards for project stakeholdersA real STAR story with what you built and who used it
Presenting to senior peopleSprint demos and status updates to client stakeholdersUse the headline → drivers → risks → decision structure
Multi-cultural teamsOnshore/offshore teams across time zonesA real STAR story
ForecastingPython forecasting project, if it's built and yoursOnly mention it if you can walk through it for 5 minutes
Demand planning job experienceNone yetSay so plainly, then show the training and practice. Interviewers trust this more than a vague claim

60–90 second pitch (fill it with your real details)

  1. "I'm a software developer by background. At [your company] I built [what you built] and spent a lot of my time in the data: validating it with SQL and finding root causes."
  2. "I'm moving into demand planning because that's where data quality turns directly into business decisions."
  3. "I'm in a mentored training program covering forecasting, PSI, S&OP and inventory planning." Add "and I've practised [name the exercises] in Excel" only once you've actually done them.
  4. "I'd bring accuracy, speed with data tools and clear communication to your weekly PSI and forecast cycle."

About the resume: check which version the recruiter sent. If any line on it isn't true, tell the recruiter before Monday. In the interview, answer only from real experience: if you're asked about a line you can't back up with real detail, don't improvise a story; say plainly what your actual experience is. Invented details fall apart under the second follow-up question, and employment history gets checked.

Tap a question to see what a strong answer covers

Likely interview questions

These are frameworks, not scripts. Put them in your own words and practise out loud. Behavioural answers must use your real experience.

Ticks are saved in this browser only

Your 2-day plan

Monday morning, 10 minutes

Cheat sheet

PSI identityEOH = Opening + Purchases − Sales
Channel inventory changeSell-in − Sell-through
Weeks of supplyWOS = EOH ÷ forward weekly sales
Forecast to loadConsensus × (1 + buffer %)
AccuracyWAPE = Σ|F − A| ÷ ΣA · Acc = 1 − WAPE
Direction of errorBias = Σ(F − A) ÷ ΣA
Every model equalMAPE = average of |F − A| ÷ A
Money$ impact = units × ASP
AgingWeeks to deplete = stock ÷ weekly sales
Supply checkGap = requirement − confirmed arrivals (+ = short)

Five questions to ask them

  1. I've seen AP1 and AP2 mentioned together in other Samsung postings. If your team uses both, how do they relate, and how does the AP2 cycle run week to week?
  2. Which accounts or product lines would I support first?
  3. How does the team measure forecast accuracy and bias today?
  4. Which systems and data sources does the team use day to day?
  5. What does a great first 90 days look like in this role?
Watch, listen, practise

Resources

Your coach has a NotebookLM notebook with all the sources below, plus a podcast, video and study materials made from them. Ask them to share the notebook with your Google account, or to send you the files.

NotebookLM notebookBeginner podcast (about 60 min), whiteboard video (about 9 min), study guide, quiz, flashcards, mind map and infographic. You can also ask it questions. Opens once your coach shares it with you.
Excel practice workbook"Samsung BizOps Excel Practice Workbook.xlsx": six exercises (lookups, PSI, accuracy, WoW report + pivot, aging, reconciliation + PO) with answer keys
Podcasts and videos (files)Beginner deep-dive podcast, a second deep-dive podcast, a beginner whiteboard video, an analyst playbook video, slides (PDF/PPTX), study guides, question bank

Watch first (in this order)

More videos and reading