Always-online interactive demo (runs fully in your browser)

Real-life scenario project: Ordering System Simulator

This is a hands-on simulation of an automated replenishment engine: edit sales, lead times, vendor rules, and critical flags — then generate a prioritized buy list with safety stock and reorder points. No login, no private data, no integrations: everything is dummy data and computed locally.

Editable SKU sales Velocity tiers → safety stock Vendor review periods Critical SKU exceptions Explainability per row

Quick Scenarios

One click sets inputs — you can still edit after.

How to use

Edit the SKU Inputs table (monthly sales, on-hand, on-PO, lead time).
Edit Vendor Inputs (orders/month, active/dormant).
Click Run Simulation to generate the forecast / buy list.
Click a row → see Why it appeared and the calculation breakdown.

Global knobs

These apply to all SKUs unless edited per-row.

Ready

Service buffer (safety stock days) — base

3d10d30d

Critical multiplier

Review days default

Tip: This app runs fully in your browser. Use Export JSON to save your scenario.

Output visuals

A quick summary of buy signals.

Explainability

Click a Forecast row to see the breakdown.

No row selected yet.

SKU Inputs (editable)

Double-click a cell to edit. This is dummy data.

Vendor Inputs (editable)

Vendor active/dormant affects inclusion unless critical.

Forecast / Buy List (generated)

Sorted by priority. Click a row for the “why”.

How the simulator works (simplified but faithful)

This demo keeps the same idea as the real pipeline, but stays fully client-side. It converts monthly sales into daily demand, applies safety-stock days based on velocity, computes ROP, then uses a periodic review target (S) to suggest quantities.

1) Demand

Daily = Monthly / 30

(You can edit Monthly Sales per SKU)

2) Safety stock + ROP

SS = Daily × SS_Days

ROP = Daily × LeadTimeDays + SS

3) Suggested Qty

InventoryPosition = OnHand + OnPO

S = Daily × (ReviewDays + LeadTimeDays) + SS

Suggested = max(0, S − InventoryPosition)

Note: In your production system you also have customer activity logic, forecast overrides, and write-back. This demo focuses on the recruiter-facing “ordering brain” while keeping everything safe and editable.

Portfolio

Replace this section with your resume-based portfolio blocks (experience, projects, impact metrics, and contact).

Impact metrics

Service level • Variability • Coverage

Systems

Airtable • Supabase • Sheets • Automation

Contact

Email • LinkedIn • Location