Vinayak Bhadani
Demand Planner & AI Engineer · Dubai
DUBAI / UAE / MENA & GCC OPERATIONS

Vinayak Bhadani

Demand Planning Executive · GCC Planner-Builder

Turning fragmented demand, inventory and logistics signals into decisions, grounded in experience planning 100,000+ units monthly.

3+
Years Exp.
100K+
Units / Month
28
UAE Stores
11
Fragrance Brands
What these numbers are
28 UAE stores and 11 brands
Current scope at Emirates Pride Perfumes. Demand planning, forecast ownership and replenishment across approximately 635 finished-goods SKUs.
+25% OTD improvement
Documented outcome at ANDS Dubai. Improved on-time delivery through freight-rate negotiation, 3PL coordination and import execution.
20% fewer freight errors
Documented outcome at ANDS Dubai. Measured across China-UAE-Oman import operations.
100K+ units / month
Prior scope at ANDS Dubai, not an outcome. Inventory planned and forecast across China, MENA and GCC markets.
Project and simulator figures
Model results or scenarios. The portfolio forecasting comparison produced about 30% lower MAPE than its naive baseline. Figures inside interactive tools demonstrate method and are not presented as employer outcomes.

Improvements are attributed to periods in which process, cadence and data inputs also changed. They are measured outcomes, not isolated causal effects.

Request a forecast audit

Independent validation, S&OP advisory and planning builds · or download the CV (PDF)

Experience at Emirates Pride Perfumes & ANDS Dubai  ·  Dubai / GCC
vinayakbhadani@zohomail.in +971 55 627 0561
Vinayak Bhadani – Demand Planning Executive, Dubai
Vinayak Bhadani
Demand Planner
28
UAE Stores
+25%
OTD Improvement
−20%
Freight Errors
⚡ THE ARCHITECT

Where Intuition Meets
Intelligence

Three years building the neural bridge between supply chain operations and artificial intelligence across MENA & GCC.
Supply chain operations, and the agentic AI systems that run them.

S&OP Mastery
Agentic Systems
RAG & Knowledge Graphs
GCC Markets
AI Deployment
Scroll
🧭 THE JOURNEY

From Bengaluru
to Dubai

A story of curiosity, ambition and relentless execution — crossing continents to master the intersection of AI and global trade.

BengaluruSingaporeSydneyDubai
SP Jain MGB
3 Continents
Supply Chain × AI

About Me

My Professional Journey

From engineering foundations to supply chain excellence — transforming complex logistics challenges into measurable business results.

⚡

The Challenge

Early in my career, I witnessed how fragmented supply chains and reactive demand planning cripple business performance — creating stockouts, excess inventory, and wasted capital across MENA markets.

🎓

The Foundation

Combining a B.E. in Information Science from Sri Venkateshwara College of Engineering with an MGB in Global Logistics & Supply Chain Management from SP Jain School of Global Management (Dubai · Singapore · Sydney).

🚀

The Breakthrough

At ANDS Dubai, I planned about 100,000 units each month and managed China–MENA–GCC imports, reducing freight errors by 20% and improving on-time delivery by 25%.

🤖

The Edge

Now integrating AI and Generative AI tools into demand planning workflows — building smarter forecasting models and data-driven inventory strategies for the next generation of supply chain.

3+
Years Supply Chain
100K+
Units Monthly
20%
Fewer Freight Errors
11
Fragrance Brands
25%
OTD Improvement
28
UAE Retail Stores
Demand PlanningS&OP ManagementInventory Optimisation3PL OperationsCross-functional LeadershipChina–MENA–GCC TradeForecast AccuracyCost ReductionAI-Powered AnalyticsERP SystemsVendor ManagementDubai Trade Platform
🎬 PORTFOLIO FILM

Watch the method.
Three layers, one plan.

Scattered sales signals and rigid supply constraints, run through physical logistics, digital systems and executive governance — until uncertainty becomes movement.

Physical · Digital · Governance
Emirates Pride scope
China–MENA freight results
Four-week S&OP

Portfolio Film · August 2026

The Three-Layer Operating System

A 2-minute 25-second walkthrough of how I turn market uncertainty into movement: sales signals and supply constraints run through physical logistics, digital forecasting and governance — until four reviews output one binding commitment.

Before you press play

The film labels its own evidence, and so does this page. Live operating outcomes are kept explicitly separate from synthetic portfolio case studies — the risk radar and forecasting models shown are built tools, not client deliverables. Honest labelling is what makes the numbers worth trusting.

Current profileResume-backedPortfolio case study
Current profile · August 2026

Demand Planning Executive at Emirates Pride Perfumes. Current operational scope and prior documented outcomes:

635 SKUs · 11 brandsCurrent fragrance planning scope
28 UAE storesForecast and replenishment coverage
−20% errors · +25% OTDResume-backed ANDS logistics outcomes
Portfolio Film · Evidence Labelled 2 min 25 sec
The Three-Layer Supply Chain Operating System
Vinayak Bhadani  ·  Physical, digital and governance layers into one operating plan

Video chapters

Contextual transcript & evidence notes

Select a passage to jump to that point
🧠 CAPABILITY MATRIX

The Neural Stack
Loading…

A converging stack of domain mastery, machine intelligence and operational engineering — deployed at scale.

LLMs · Agents · RAG
Python · SQL · BI
S&OP · Forecasting
ERP · SAP · Odoo

Core Competencies

Demand Planning & Supply Chain Expertise

📦

Demand Planning

  • S&OP Planning & Execution
  • Demand Forecasting (Statistical & AI)
  • Inventory Management & Optimisation
  • CPFR & Collaborative Replenishment
  • Safety Stock Calculation
  • Product Lifecycle Management
🚚

Operations & Logistics

  • 3PL Management & Coordination
  • Vendor Negotiation & Procurement
  • Warehouse Operations
  • China–MENA–GCC Trade Lanes
  • Cost Reduction & Optimisation
  • Cross-functional Team Leadership
📊

Analytics & Tools

  • Microsoft Excel (Advanced)
  • Power BI & Data Visualisation
  • ERP Systems (SAP · Odoo)
  • Dubai Trade Platform
  • AI & Generative AI Forecasting
  • Python · SQL · IBM SPSS
Tools & Technologies: Microsoft ExcelERP SystemsDubai TradePower BIPythonAI ForecastingGenerative AIS&OP SoftwareLogistics TMSVendor ScorecardsSAPMS OfficeOdooIBM SPSSSQL
📈

Project Experience Insight

Built a portfolio forecasting comparison that reduced average MAPE by about 30% versus a naive baseline.

Global Scale

China to JAFZA Logistics

Managing end-to-end freight and improving delivery reliability across international trade lanes.

Shenzhen, China JAFZA Port, Dubai
🚢

Project Impact

Managed China–UAE–Oman imports with 3PL partners, reducing freight errors by 20% and improving OTD by 25%.

> BOOT SEQUENCE INITIATED... > loading career_trajectory.exe > connecting to emirates_pride.ae > syncing demand_forecasts... > STATUS: [ ALL SYSTEMS ONLINE ]
[ SYSTEM ONLINE ] career.exe

Career
Trajectory

Three roles, two countries, one throughline — building operational excellence that holds up under real volume.

Apr 2026 – Present: Emirates Pride Perfumes
Oct 2023 – Mar 2026: ANDS Dubai
MGB programme: Oct 2022 – Oct 2023
3+ Years · MENA & GCC

Professional Experience

Career Trajectory

A track record of measurable results in demand planning, inventory management, and cross-functional supply chain leadership.

Apr 2026 – Present
Demand Planning Executive
Emirates Pride Perfumes
📍 Dubai, United Arab Emirates · Retail & Fragrance
UAE Retail Stores
28
Finished-Goods SKUs
~635
Fragrance Brands
11
  • Drive demand planning and inventory across about 635 finished-goods SKUs and 28 UAE retail stores, owning forecast accuracy and replenishment cycles for 11 fragrance brands.
  • Built and deployed an AI-powered Stock Register web application covering real-time stock, MIN/MAX replenishment, tester workflows and bilingual operations, eliminating manual register dependency.
  • Lead S&OP alignment with Sales, Marketing, Warehouse and Area Managers across UAE, KSA and Oman.
  • Manage slow-moving and discontinued SKUs, including stock redistribution across more than 23 locations.
  • Own regional demand planning outlook across 40+ retail and duty-free stores across UAE, KSA and Oman, and drive export planning for overseas market expansion into the US, Australia and Canada.
Demand PlanningMulti-Store CoordinationInventory ReportingWorkflow ManagementRetail OperationsCross-Regional Management
Oct 2023 – Mar 2026
Demand Planning Analyst
ANDS
📍 Dubai, United Arab Emirates
Units Planned / Month
~100K
On-Time Delivery
+25%
Freight Errors
−20%
  • Planned about 100,000 units per month across China, MENA and GCC operations.
  • Managed purchase order-to-customs imports, negotiated 3PL rates across China–UAE–Oman lanes, reduced freight errors by 20% and improved on-time delivery by 25%.
  • Prepared import costing, pricing and margin analysis, and reconciled ERP stock records.
S&OP PlanningDemand Forecasting3PL ManagementERP SystemsDubai TradeCost OptimisationAI Forecasting
Apr 2022 – Oct 2022
Inventory Operations Analyst
Global Automobiles
📍 Jamshedpur, India · Automotive & Spare Parts
Inventory Accuracy
98%
Turnover Improvement
+20%
Holding Cost Reduction
−15%
  • Assisted in managing spare parts flow, maintaining 98% inventory accuracy and 95% on-time delivery through ERP and supplier coordination.
  • Monitored and reported key inventory KPIs; supported lean initiatives improving turnover by 20% and reducing holding costs by 15%.
  • Assisted procurement by verifying purchase records, tracking supplier performance, and ensuring 98% parts availability with faster sourcing cycles.
  • Implemented improved warehouse processes, dispatching stock efficiently, reducing excess, and boosting space utilisation to strengthen working capital.
Inventory ManagementERPLean OperationsSupplier CoordinationKPI Reporting
⬇  Download Full CV (PDF)

Evidence studio

Positions I'll defend.

Ten arguments about how planning actually breaks, each ending in a working tool or a written breakdown. Open one to read it; watch the film if you'd rather hear it. Where a claim is a target design or a technical demonstration rather than a live operating outcome, it says so.

📡 ACADEMIC ARCHITECTURE

Knowledge
Matrix

Dual-continent academic foundation — SP Jain Global Management across Dubai, Mumbai, Singapore & Sydney.

SP Jain MGB · Global Logistics
SVCE · Information Science
Dubai · Singapore · Mumbai · Sydney
Award conferred Jun 2025

Education

Academic Qualifications

🎓
Post Graduation
Master of Global Business (MGB)
Global Logistics & Supply Chain Management
SP Jain School of Global Management
Dubai · Mumbai · Singapore · Sydney

Programme: Oct 2022 – Oct 2023  ·  Award conferred: June 29, 2025  ·  Student ID: MS22GL091

TEQSA Accredited · CRICOS 03335G

💻
Graduation Degree
Bachelor of Engineering (B.E.)
Information Science & Engineering
Sri Venkateshwara College of Engineering
Bengaluru, India

Graduated: August 2021  ·  4 years  ·  Student ID: 1VE17IS057

Certificate: March 10, 2022

🔐 CREDENTIAL VAULT

Access
Granted

International certifications validating end-to-end supply chain mastery — from procurement to AI integration.

CISCP · IPSCMI USA
CISCM · IPSCMI USA
McKinsey Forward 2025
Gen AI Mastermind · Outskill

Certifications

Professional Credentials

Supply Chain
Certified International Supply Chain Professional (CISCP)
IPSCMI USA
Issued: Sep 2024 · Expires: Sep 2029 · ID: CISCP224094586
Global Supply ChainInternational Trade
Supply Chain
Certified International Supply Chain Manager (CISCM)
IPSCMI USA
Professional certification in international supply chain management
Operations ManagementLogisticsLeadership
Leadership
McKinsey Forward Program
McKinsey & Company
Issued: December 10, 2025 · Verify Credential
Strategic ThinkingProblem Solving
AI / ML
Generative AI Mastermind
Outskill
Issued: 2024 · Prompt Engineering, AI Model Implementation
Generative AIPrompt Engineering
AI / ML
Artificial Intelligence & Machine Learning
Industry Certification
Issued: 2024 · Applied AI in business & logistics contexts
Machine LearningAI Applications
In Progress
CPIM — Certified in Production & Inventory Management
APICS / ASCM
Expected: August 2026 · Production Planning & S&OP
Production PlanningInventory Management
🌏 GLOBAL TRADE LANES

China → Jebel Ali →
The World

Real operational experience navigating the arteries of global trade — from factory floor to last-mile delivery.

100,000+ Units / Month
20% Fewer Freight Errors
MENA · GCC · South Asia
3PL · Freight · Customs

Selected work

Six systems, running live

Open any of them in a browser and put your own numbers in. Every figure in these recordings was computed live by the tool itself — nothing is mocked and nothing is edited.

Core objective

Make supply chain decisions provable before they are expensive.

Planning arguments are usually won on confidence. Every tool above exists so the argument can be settled on numbers instead — in the meeting, on the spot, with the client's own data.

01

Numbers before narrative

Forecast error, OTIF, cost-to-serve, capital tied up. If a plan cannot be measured, it is not yet a plan.

02

Ship the tool, not the slide

Every claim on this page opens in a browser and runs on your own numbers. Nothing here is a mockup of a system that does not exist.

03

Built for this region

Ramadan peaks, Red Sea reroutes, GCC lead times and UAE customs reality. Modelled from the start, never assumed away.

Calculators, dashboards, models and simulators — the full list sits below.

SEE THE FULL LIST →
📂 ALL PROJECTS

The Full
Portfolio

Every tool, model, simulator and framework built across supply chain, AI and data engineering — all live and interactive.

14+ Live Projects
Supply Chain Tools
AI Simulators
Open Source
17
Portfolio Projects Indexed
14+
Free Interactive Tools
6
Planning Calculators
3
Evidence Labels Used
2
Documented Career Outcomes
🧠
AI SaaS · Live Product 🚀 Live App

SupplyMind — AI S&OP Copilot

"Runs Sunday night — delivers your Monday meeting brief before you wake up"

AI-powered S&OP briefing pack generator built for UAE/GCC manufacturers. Pulls live data from SAP B1, Zoho, and Excel. Delivers decisions needed, forecast variance, inventory alerts, and risk flags by email before the Monday 8 AM planning meeting — eliminating 3-hour meetings that produce nothing.

Claude APIAI Engine
Next.js 16Stack
UAE/GCCMarket
Claude APISupabaseNext.js 16S&OPTypeScript
Open Live App
🌙
AI SaaS · Live Product 🚀 Live App

GCC Event Surge Planner

"Ramadan shifts 11 days every year — generic tools miss the peak every time"

AI demand forecasting engine built for GCC event volatility. Pre-seeded with Ramadan, Eid, Dubai Shopping Festival, White Friday, and UAE National Day data for 2025–2027 with proven surge multipliers. Delivers per-SKU demand forecasts with confidence bands and order date recommendations before each surge hits.

5 EventsGCC Calendar
Per-SKUForecasts
2025–27Pre-seeded
Claude APIRamadanGCC EventsNext.js 16Supabase
Open Live App
🔮
AI Forecasting Live Tool

ML Demand Forecasting Engine

"Traditional stats vs. dynamic ML featuring price elasticity and marketing spend"

An interactive machine learning forecasting engine comparing Holt-Winters against XGBoost/Prophet. Models price elasticity, marketing budgets, and regional Ramadan peaks dynamically to reduce MAPE error.

−50%Forecast Error
7.4%ML MAPE
XGBoostFeatures
ProphetXGBoostElasticityInteractive
Open Engine
📦
Inventory ⬇ Excel File

ABC-XYZ Inventory Classification

"A priority map that tells you which products deserve the most attention"

A 5-sheet Excel workbook classifying 30 products into 9 management zones — identifying which items drive 70% of revenue (ABC) and which are erratically ordered (XYZ). Complete with reorder formulas and inventory policies per segment.

30SKUs Classified
9Stock Strategies
−18%Aged Stock
ExcelParetoCoeff. of Variation
Download Excel
⚠️
Risk Live Tool

Supply Chain Risk Assessment Framework

"An early-warning scorecard for every threat a supply chain faces"

Scores 8 risk dimensions (political, currency, supplier, logistics) for any trade lane. Pre-loaded with China–UAE, India–UAE, and Europe–UAE profiles. Interactive sliders update the radar chart and mitigation actions live. Based on BCG 2024 GCC research.

8Risk Dimensions
3Trade Lanes
BCG2024 Framework
Radar ChartInteractiveGCC Trade Lanes
Open Risk Tool
🚢
Geopolitics Research

War & Conflict: GCC Supply Chain Impact

"When wars start, supply chains feel it first — here's the proof"

Quantifies the exact supply chain impact of three real conflicts: Red Sea crisis (freight +323%), Ukraine war (wheat +70%), Strait of Hormuz risk. Uses real Drewry WCI data, FAO commodity prices, and builds a three-pillar resilience playbook for UAE operators.

+323%Freight Spike
+14 DaysTransit Added
3Case Studies
Red Sea CrisisUkraine WarHormuz
Read Analysis
📊
Strategy ● Live Interactive

Supply Chain Scorecard

"A command-centre view of supply chain health — the way a Director sees the business"

An executive-grade interactive scorecard covering all four supply chain dimensions: Demand Planning, Inventory Management, Supplier Performance, and Logistics. 24 live KPIs with GCC vs World Class benchmarks, radar performance profile, 6-month trend, and 5 prioritised strategic actions — each with quantified ROI impact.

24Live KPIs
4Dimensions
AED 5M+Actions Identified
InventorySupplier MgmtGCC BenchmarksInteractive
Open Scorecard
📋
Strategy ● Live Interactive

S&OP Process Design Playbook

"The complete operating manual for running a world-class planning team"

An interactive S&OP process framework showing the complete system for aligning Sales, Finance, Procurement and Operations around one monthly plan. Explore the 4-week governance cycle, RACI matrix, 9 live KPI gauges, and 5-level maturity model — all built from the ANDS Dubai S&OP implementation.

9Live KPI Gauges
4Cycle Weeks
5Maturity Levels
S&OP DesignRACI MatrixGovernanceInteractive
Open Interactive Playbook
🧮
Free Tools ● Live Interactive

Supply Chain Calculator Hub

"Every formula a demand planner uses daily — free, instant, no sign-up"

6 free, instant supply chain calculators: Safety Stock (with full demand + lead time variability), EOQ, Reorder Point, MAPE Forecast Accuracy, Inventory Turnover with GCC benchmarks, and Carrying Cost. Formula explanations and GCC-specific context built into every tool.

6Calculators
GCCBenchmarks
FreeNo Sign-Up
Safety StockEOQMAPEReorder Point
Open Calculator Hub
🔄
Systems & ETL ● Live Interactive

Real-Time ERP/Shopify ETL Pipeline

"Automating data pipelines from ingestion to anomaly cleaning — with zero manual effort"

A real-time ETL simulator capturing raw order data from ERP and Shopify systems, running automatic cleaning pipelines, detecting anomalies using statistical Z-score algorithms, and loading sanitized data into an interactive analytics warehouse.

99.9%Data Accuracy
Z-ScoreAnomaly Engine
Real-TimeIngestion Speed
ETL PipelinesData QualityZ-Score AnomalyShopify Sync
Open ETL Pipeline
🌐
Network & Inventory ● Live Interactive

Multi-Echelon Network Inventory Optimizer

"Balancing safety stocks across your entire supply chain network dynamically"

An interactive network visualizer modeling a central JAFZA Hub in Dubai feeding multiple regional retail nodes. Compare centralized pooling policies against decentralized safety stock holding to optimize warehouse footprints and slash carrying costs.

−25%Carrying Cost
JAFZACentral Hub
98%Service Level
Multi-EchelonSafety StockJAFZA HubNetwork Optimization
Open Optimizer
🤖
GenAI & Automation ● Live Interactive

AI Supply Chain Copilot (ReAct Agent)

"Your digital supply chain assistant — writing SQL queries and drafting POs in seconds"

A simulated GenAI Copilot using a ReAct reasoning framework to solve complex supply chain queries. Watch the agent analyze stock databases, calculate EOQs, and auto-draft professional purchase orders ready to be exported.

ReActLLM Framework
AutoPO Drafting
SQLDatabase Queries
GenAI CopilotReAct AgentSQL GeneratorEOQ Calculator
Open AI Copilot
🧪
End-to-End Simulation ● Live Interactive

Global Perfume Supply Chain Simulator

"An executive operations console simulating China-to-UAE sourcing lanes and GCC retail flows"

An interactive 30-day supply chain simulator tracking Guangzhou packaging procurement, Jebel Ali customs clearance, Al Quoz blending runs, and GCC store stockouts. Manage lead times and calculate actual cash ROI against port delays.

OTIFService Target
Net P&LOperations Profit
InboundLead Times
Global SourcingJAFZA HubBatch ProductionChart.js
Open Simulator
🤖
Agentic AI · LangGraph ● New · 2026

Portfolio Intelligence Agent

"Ask me anything about Vinayak — I'll answer in seconds, grounded in real data"

A stateful LangGraph agent (Claude claude-sonnet-4-6) that knows everything about this portfolio — projects, skills, experience, and GitHub activity. Recruiters can ask natural-language questions, request tailored cover letters for any JD, or get a gap analysis. Built with RAG over live portfolio + GitHub data, persistent memory via Mem0, and a FastAPI backend.

LangGraphAgent Framework
RAGFAISS + Embeddings
Mem0Persistent Memory
LangGraphClaude APIFAISSMem0FastAPIGradio
View on GitHub
See it all live on GitHub
Build Log

The build log is public

Every claim above ends in a repository. The code is open and the commit history is public — nothing here is a screenshot.

ASCII portrait from Vinayak Bhadani's GitHub profile github.com/Vinayak682
ai-supply-chain-platformException-led operations intelligence retail-inventory-opsMulti-store retail operations alphaosHuman-supervised strategy agents meridianAgentic research terminal project-autopilotSupply-chain intelligence
Open GitHub
Public GitHub contribution history
REC ● LIVE
DEMAND_ENGINE v3.2
FORECAST_HORIZON: 12W
STATUS: RUNNING
🔴 LIVE INTELLIGENCE ENGINE

The Forecast
Machine

An interactive demand planning engine powered by real GCC market scenarios — adjust, predict, optimise.

Live Scenario Modelling
12-Week Forecast Horizon
GCC Market Data
AI-Assisted Predictions

LIVE INTERACTIVE SIMULATOR

Demand Planning Problem Solver

Six real problems every demand planner faces — each with a live simulation. Synthetic data only. Built on the same frameworks applied daily at Emirates Pride & ANDS Dubai.

🎯
The Problem
You have 110 SKUs but only time and budget to manage 20 of them closely. Which ones deserve weekly attention, and which can run on autopilot? Most teams treat all SKUs equally — and lose money on both ends: stockouts on the wrong products and overstock on the wrong ones.
SKUProductAnnual Rev (AED)Class
← Select any SKU to see its classification analysis
📅
The Problem
Ramadan can spike perfume demand by 40–60% — but it shifts by 10–15 days every year. A naive "same month as last year" forecast misses the peak, creating emergency air freight and lost sales. Use the what-if sliders to see how growth rate and lead time change your supply position.
—
Forecast MAPE
—
Next Month Forecast
—
Days of Supply
⚡ What-If Scenario
Demand Growth+0%
Lead Time (days)30
Adjust sliders to model scenarios
📦
The Problem
Every morning, a demand planner needs to know: which SKUs need a purchase order placed today? Without a live signal board, this check takes hours across spreadsheets. This dashboard auto-calculates days of supply and flags the SKUs that are at risk — so you act before the stockout, not after.
Status legend: ● OK ● Order Soon (<14 days) ● Critical (<5 days)
🛡️
The Problem
Hold too little safety stock and you get stockouts. Hold too much and you tie up working capital. The answer isn't a gut-feel buffer — it's a statistical calculation based on demand variability, lead time variability, and your service level target. Adjust the inputs below and see how safety stock and inventory cost change in real time.
📐 Input Parameters
Avg Daily Demand (units)100
How many units sell per day on average
Demand Variability (σ)25
Standard deviation of daily demand — higher = more volatile
Lead Time (days)30
Supplier delivery time from order to receipt
Lead Time Variability (σ days)5
How inconsistent your supplier's delivery timing is
Service Level Target95%
85% → 90% → 95% → 98% → 99.5%
Safety Stock Required
— units
SS = Z × √(LT × σd² + d² × σLT²)
Reorder Point
— units
ROP = (d × LT) + Safety Stock
Inventory Cost Impact
—
Service Level vs Safety Stock Trade-off
⚡
The Problem
Your supplier just called — they're 3 weeks late. Your current stock runs out in 18 days. You have three options: pay for emergency air freight, find an alternative supplier, or ration stock across stores. Each decision has a different cost and customer impact. This simulator shows the outcome of each in real time.
Stock Level Timeline — 60 Days
Projected Stock
Stockout Zone
Supplier Delay
Scenario Controls
Supplier delay: 21 days
Choose Your Response
Select a response to see impact
Choose one of the four options above to model the financial and operational outcome.
🎮
S&OP Executive Challenge
Can you survive the Supply Chain Crisis? You are the Demand Planning Manager in Dubai. A critical 21-day port congestion delay has occurred on your highest-margin SKU (Oud EDP 100ml) from China. Your S&OP task is to make key replenishment and inventory decisions across 3 rounds. Keep stores in stock (maintain high OTIF) while keeping carrying and freight costs within your cash budget. Prove you're a true Supply Chain Master!
Current Day
Day 1
Cash Budget
AED 25,000
Store Stock
82 units
Service Level (OTIF)
100%

All data is 100% synthetic — built for demonstration. Same S&OP frameworks applied live at Emirates Pride (28 UAE stores) & ANDS Dubai.

⭐ VERIFIED RECOMMENDATIONS

Trusted By
Leaders

Unsolicited LinkedIn recommendations from directors, managers and peers across supply chain and technology.

👥 7,000+ LinkedIn Followers
Director-Level Endorsements
Cross-Industry Validation
LinkedIn Verified
Dubai · India · Global

RECOMMENDATIONS

What Colleagues Say

Verified professional recommendations from academic mentors and industry leaders who have observed this work first-hand.

Dorrin Goyal Rajiv Aserkar Sami Anthony Abu-Hanna

Dorrin Goyal

Academic Manager · SP Jain School of Global Management

“I had the privilege of mentoring Vinayak Bhadani in my International Business Research Project course at SP Jain. He consistently demonstrated exceptional analytical ability, intellectual curiosity, and a commitment to excellence. Vinayak is a highly capable professional who I wholeheartedly recommend.”

7,000+ LinkedIn Followers Connect & Follow → for new projects & developments
View All Recommendations on LinkedIn
? ? ?
💡 PERSPECTIVES

Thinking
Out Loud

The questions recruiters ask, the answers I actually believe — unfiltered perspectives on AI, supply chain and careers.

Why AI + Supply Chain?
Leadership Philosophy
Career Goals 2026
What Makes Me Different

Perspectives

The Thinking Behind the Work

Browse all insights

Most demand planning in the GCC is still "last year plus a percentage" — which sounds like a method but is actually just institutional inertia dressed up as a forecast. What good actually looks like is a statistical baseline built on rolling sell-out data, layered with structured commercial intelligence — promotions, new listings, range deletions — and then reconciled against a financial plan before anyone commits to a purchase order. The GCC compounds this because you're dealing with Ramadan surges that can spike category demand by 40%, import lead times of 45–90 days from Asia, and a retail landscape where a single key account can represent 30% of your volume. The margin for error is far smaller here than in markets with domestic production and short replenishment cycles. The planners who thrive in this environment are the ones who treat forecasting as a decision-making discipline — not a spreadsheet exercise. Read the full article
S&OP fails for one reason almost every time: it becomes a reporting meeting instead of a decision-making forum. Teams show up with slides, numbers get reviewed, nobody makes a call, and everyone leaves to run their own plans anyway. The process I designed at ANDS was built around the opposite principle — every meeting in the 4-week cycle has a defined output, a decision owner, and a constraint that must be resolved before the next stage. Demand review produces an unconstrained plan. Supply review produces a constrained one. Pre-S&OP reconciles the gap. Executive S&OP makes the trade-offs. When the process has that architecture — and when Finance is genuinely integrated, not just invited — it changes from a coordination exercise into the operating system of the business. The transformation took 18 months. The first three months were the hardest because you're asking commercial teams to give up their private forecasts and commit to a shared number. That requires trust, not just process design. Read the full article
The CFO conversation is the one most supply chain professionals avoid — and that avoidance is exactly what keeps the function underfunded. The financial case is straightforward once you build it properly. A 5% improvement in forecast accuracy at a mid-size FMCG distributor in Dubai reduces emergency air freight by roughly AED 800K–1.2M annually. A 10% reduction in inventory days outstanding releases AED 3–5M in working capital depending on turnover. Eliminating one major stockout event in a high-velocity category saves the margin on hundreds of thousands of lost units. I model all of this explicitly — not as estimates but as ranges with assumptions you can stress-test. When you walk into a CFO's office with a scenario model that ties operational metrics to P&L and balance sheet impact, you stop being a cost centre and start being a strategic lever. That shift in perception changes what resources you get, which changes what outcomes you can deliver. Read the full article
The UAE's geographic position is both its greatest supply chain advantage and its most underappreciated risk. You have world-class port infrastructure, a logistics hub connecting Asia, Africa, and Europe — and you are also within 33km of the Strait of Hormuz, adjacent to the Red Sea corridor that was disrupted by Houthi attacks in 2023–24 sending freight rates up 323%, and dependent on Black Sea wheat that was directly impacted by the Ukraine conflict. Resilience in this context is not about having a backup plan in a drawer. It is about three things: redundancy built into sourcing before the crisis hits — not after, visibility tools that give you signal of disruption before your shipment is already at risk, and pre-negotiated contingency contracts with alternative carriers and suppliers that can be activated in days, not weeks. The supply chains that held up through the Red Sea crisis were the ones that had already invested in multi-route flexibility. The ones that collapsed were the ones that had optimised entirely for cost. Read the full article
AI meaningfully improves demand planning in three places: detecting non-linear seasonal patterns that statistical smoothing misses, processing external signals — weather, search trends, commodity prices — at a speed no analyst team can match, and identifying demand anomalies before they propagate into the supply plan. Where the hype outruns reality is in the assumption that better algorithms eliminate the need for human judgment. They don't. AI produces a better baseline — it does not replace the commercial intelligence that comes from a sales director knowing a key account is about to double their order, or a planner knowing that a competitor just went out of stock. The models I've built use Holt's Double Exponential Smoothing as the statistical engine, with a structured overlay process for commercial inputs. That combination — rigorous baseline plus structured human judgment — consistently outperforms either pure algorithmic or pure intuitive approaches. The future is not AI replacing planners. It is planners who understand AI outperforming those who don't. Read the full article
Execution is necessary but it is not differentiating. Most competent supply chain professionals can run a planning cycle, manage a 3PL, and hit their OTIF targets in a stable environment. Transformation requires a different capability: the ability to diagnose why a system is underperforming, design a better one, bring cross-functional stakeholders into alignment around it, and then sustain that performance when conditions change. The work I did at ANDS was transformation — not because the numbers moved, but because the underlying system changed. We went from a planning function that reacted to orders to one that shaped them. From a team that reported on OTIF to one that was accountable for it. From a process where demand and supply were separate conversations to one where they were reconciled into a single plan every month. That kind of change does not happen because of a new tool or a new hire. It happens because someone decides to hold the system to a higher standard and has the technical and interpersonal capability to redesign it from the inside. Read the full article
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