Sample work

These are the kinds of materials you'd get. Each one is either fictional or has all personal details removed.

Interview prep pack

A two-day prep pack for a demand planning interview

The kind of pack I build when someone has a demand planning interview in a few days and no planning background. Everything is explained from zero, with worked numbers. This version is generic: no company, dates or personal details.

What's in it

The weekly planning loop
18 concepts with worked examples
PSI, accuracy and reallocation calculators
30 flashcards
A 12-question quiz
Likely interview questions
A 2-day plan

Open the study page Download the Excel practice workbook

Workbook (.xlsx, 46 KB): 6 exercises covering lookups, PSI, forecast accuracy, a week-over-week report with a PivotTable, aging and reallocation, and reconciliation and PO confirmation. Answer keys included; all data illustrative.

Resume rebuild, before and after

Fictional example. "Riya" is not a real client.

Riya (fictional) has 2 years as an inventory coordinator at a retail distributor and wants a demand planning analyst role. In this example, the tools and numbers in the "after" version are ones she gave during intake and can explain.

Before

Summary: Hard-working professional with experience in inventory and Excel, seeking a challenging role in a reputed organisation.
Experience: Responsible for inventory reports.

Worked on SAP and Excel.

Handled stock issues with stores.
Skills: MS Office, SAP, Communication, Team player

After

Headline: Inventory Coordinator moving into Demand Planning · Excel (PivotTables, XLOOKUP) · SAP MM · Stock reconciliation
Summary: Inventory coordinator with 2 years in retail distribution. I build the weekly stock-cover report store managers use to reorder, and reconcile system stock against physical counts. Moving into demand planning; I've completed a forecasting and S&OP program and published a practice forecast model.
Experience: Built the weekly stock-cover report in Excel (PivotTables, XLOOKUP) from SAP exports, so 12 store managers could see which items would run out before the next delivery.

Reconciled SAP stock against monthly cycle counts and traced each gap to its cause (in transit, returns, unposted transfers), bringing open discrepancies down from about 60 lines a month to under 20.

Sent the buying team a monthly list of items more than 90 days old, which they used to plan markdowns.
Projects: Practice demand forecast on a public retail dataset: moving average vs. exponential smoothing, scored with WAPE and bias.

What changed, and what didn't

Each bullet now says what she did, with which tool, and who used it.
Every number is one she can explain: "12 store managers" is a headcount; "60 to under 20" comes from her own monthly discrepancy log.
Keywords from demand planning JDs (forecast accuracy, WAPE, bias, S&OP, stock reconciliation, SAP) appear only where they're true. Tools she hasn't used, like Kinaxis or IBP, stay out.
No employer, title or date was added or changed.

The review checklists

Resume review checklistAbbreviated public version

Verification first: every employer, title and date matches something you can prove; every number can be explained ("How did you calculate that?"); unverifiable roles are removed, not reworded.
Targeting: one version per role family; the top third answers "why this person for this role" in six seconds.
Format and ATS: 1 page (2 only with 5+ years); text-based PDF or .docx; no text boxes, columns, icons or skill bars; standard headings; consistent dates; file named Firstname-Lastname-Resume-Role.pdf.
Summary: target role + real years + 2-3 strengths + core tools; no filler like "hard-working" or "results-driven".
Bullets: action → what → number → result; 3-5 per role; nothing you couldn't talk about for two minutes.
Keywords by role family (demand planning, inventory, supply chain analyst, procurement, logistics, tools), used only where true. List SAP, Oracle, IBP, Kinaxis, o9 or Blue Yonder only if you've actually used them.
Projects listed as projects, never disguised as jobs: problem → data → method → result → link.
Certifications "in progress" only if you're actually enrolled.
Final check: matches LinkedIn exactly; you can explain each bullet out loud in under 60 seconds.

LinkedIn review checklistAbbreviated public version

Consistency first: employers, titles and dates match your resume exactly. Recruiters cross-check.
Top card: clear photo, a supply chain banner, a headline of target role + 2 strengths + tools (not "Seeking opportunities"), location set to where you want to work, a custom URL, Open to Work filled in.
About: three short paragraphs: what you do → proof (real experience and projects) → what you're looking for.
Experience: 2-4 bullets per role, same substance as the resume; company pages linked.
Featured: your best project or portfolio pinned first.
Skills: top 3 match the target role; trim the rest.
Activity: one post a week about something you learned or built.

Program syllabus

Eight modules, about 32 live sessions.

This is the current outline. Sessions are live and online, about 70 minutes each; the schedule is agreed with each group.
Module	Sessions	What you'll do (hands-on)
1. How planning teams really work Planning horizons and who owns what The KPIs interviewers ask about (forecast accuracy, bias, fill rate, OTIF, turns, days on hand, service level) The systems landscape (ERP vs. planning tools)	3	Map a company's planning calendar Calculate each KPI from a sample dataset
2. Demand planning Statistical forecasting that's actually used Measuring the forecast (MAPE, WMAPE, bias, forecast value added) Consensus forecasting and overrides Promotions and new products Case: a forecast that's always over	5	Build and score a forecast in Excel Promo uplift exercise Written diagnosis
3. S&OP The monthly cycle step by step Supply review and gap closure Executive S&OP A mock S&OP meeting where everyone plays a role	4	S&OP calendar Scenario table 5-slide executive summary
4. Inventory Safety stock in practice Replenishment policies (min/max vs. EOQ) ABC/XYZ segmentation Obsolete and slow-moving stock Case: inventory health review	5	Safety stock calculator ABC/XYZ on a 500-SKU dataset Reduction plan
5. Procurement and logistics Spend analysis and supplier scorecards How MRP/DRP output drives purchasing Freight, Incoterms and landed cost	3	Spend cube in Excel Landed cost exercise
6. Tools Excel for planners (XLOOKUP, pivots, Power Query) Power BI data model and a planning dashboard SQL for supply chain analysts Automating a recurring report A timed Excel/Power BI test	6	Clean and model a messy file Inventory/forecast dashboard 10 practice queries
7. Portfolio Scope a project for your target role	2	Publish it on a portfolio page and LinkedIn Featured
8. Interview preparation STAR stories from real experience Technical and case questions Mock interviews against your real job descriptions Recruiter screens, salary and offer conversations	4	5 written stories Recorded mock with feedback 60-second pitch
Total	32

Tools I've built

The program teaches you to build the kind of tools I use. These are live on this site:

Supply chain calculators → ML demand forecasting engine → Multi-echelon inventory optimizer → S&OP process playbook →

Have an interview coming up, or a resume that isn't getting calls?

Send me your target role and your current resume, and we'll set up a free 15-minute call.

Book a free 15-minute call Message me on LinkedIn