BBMCAPM®Google AI Certified

Nico Georgiades Scaling Global Supply Chains & Optimizing Lean Operations

A metrics-driven Project Manager with a proven track record of bootstrapping multi-warehouse operations, managing international maritime logistics, and deploying localized dealer structures.

Professional Narrative

Bridging Dynamic Operations & Capital Efficiency

My background as an operations and project management practitioner is built on real-world execution. During my undergraduate studies, I co-founded and systematically scaled a bootstrapped furniture retail and logistics business alongside a strategic partner. Over its lifecycle, the project evolved through three discrete operational phases: an initial hyper-local used furniture arbitrage model, an expansion into bulk international container shipping, and a final scale-up to multiple active facilities when transitioning to domestic manufacturer-dealer operations.

Crucially, throughout all three expansion lifecycles, the original high-velocity used furniture reselling operation remained the central financial cash cow for the business. This lean, low-overhead baseline constantly generated the liquid capital reserves needed to fund, insulate, and de-risk the wholesale import and domestic distribution models without depending on institutional debt.

Operating under a highly lean footprint of a three-person total headcount, I directed multi-site facility tenant improvements, optimized logistics fleet overhead, and managed severe supply chain dependencies. Today, I combine this hands-on operational foundation with modern credentials (CAPM and Google AI). Please note that all Agentic AI optimizations and explicit PM frameworks detailed throughout this portfolio are retrospective. This site serves to bridge my raw, real-world entrepreneurial experience with the formalized Project Management knowledge and technical AI skills I hold today.

3

Growth Phases

2

Founding Partners

8,000

Peak Sq. Footage

Core Operational Focus Areas

  • Arbitrage & Sourcing Architecture

    Scouring localized networks and consumer ecosystems using automated keyword scrapers to secure high-margin supply assets.

  • Global Supply Chain Management

    Coordinating international manufacturing gates, port arrivals, customs entry codes, and intermodal inland tracking layouts.

  • Lean JIT Delivery Controls

    Managing manufacturer-dealer shipping agreements, warehouse cross-dock prep windows, and on-the-spot COD financial loops.

  • Project Sunset & Risk Closures

    Executing clean wind-downs, legal commercial space lease exits, asset liquidations, and contract credit distributions.

Venture Evolution

Project Management Case Studies

An operational journey mapped across three progressive growth phases, tracking the transition from a bootstrapped startup to complex global and domestic logistics pipelines.

Phase 1: Foundational Growth

Used Furniture Bootstrap & Cash Velocity Engine

Venture Core Cash Cow Self-Funded Growth CapEx

The primary venture catalyst involved maximizing asset turnover while minimizing upfront structural liabilities. Managed as an agile partnership by two co-founders, this phase secured undervalued, premium furniture configurations across Facebook Marketplace. Sourced assets were immediately prepared with aesthetic conditioning for sale, ensuring continuous cash velocity.

To optimize delivery logistics and minimize operational expenditure (OpEx), our fulfillment architecture scaled fluidly through five progressive fleet iterations: initiating with a borrowed consumer vehicle to validate market placement, transitioning to standard rental models for capacity expansion runs, acquiring a dedicated 26-foot capital asset box truck, replacing it with a heavy-duty pickup and enclosed trailer configuration to lower per-mile operational overhead, and ultimately scaling to two active transport trucks and trailers to handle concurrent multi-facility staging needs.

Sourcing ArchitectureFacebook Marketplace
Inventory ControlRapid-Turnover Model
Logistics Assets5-Stage Fleet Scaling
Governance Setup2 Co-Founding Partners

Agentic AI Optimization Layer: Autonomous Sourcing & Dynamic Pricing Engine

01 / Asset Scraper Agent Parses hyper-local Facebook Marketplace listings continuously, evaluating image clusters and text descriptions to extract listing variables.
02 / Valuation Regression Matrix Automatically weights spatial demand metrics, asset condition variables, and historical liquidation velocity data to output a target maximum purchase threshold.
03 / Auto-Negotiation Pipeline Drafts adaptive consumer outreach scripts via prompt-engineered variables, aligning vendor ask prices with programmatic cash margin limits.
Phase 2: Scale Expansion

International Bulk Freight Shipping & Infrastructure Scale-Up

Global Dependency Risks Bulk Maritime Freight

To fulfill volume scaling targets, the venture managed bulk international container shipments from origin manufacturing slots through port entry points. This phase evaluated the extreme operational discipline required to manage dead capital transit gaps up to 35 days long at sea, relying on the fast-turning Facebook Marketplace cash cow to sustain baseline corporate liquidity.

Supply Line ScopeBulk Maritime Freight
Risk ExposureDemurrage / Capital Freeze
Headcount Footprint3-Person Total Unit
Project Gate AuditInbound Quality Controls

Agentic AI Optimization Layer: Proactive Supply Chain Orchestrator

01 / Multi-Modal Delay Analysis Monitors global ocean freight tracking APIs, manufacturing logs, and port congestion streams to dynamically adjust ETA targets.
02 / Demurrage Liability Forecast Models port storage risk thresholds against local cash balances, calculating precise timing coordinates for final wire settlements.
03 / Automated Drayage Routing Issues structural carrier commands to freight broker systems upon port clearance, bypassing log bottlenecks prior to physical terminal storage fee deadlines.
Phase 3: Strategic Realignment & Sunset

Pivoting to Domestic Just-In-Time Pipeline & Strategic CapEx Liquidation

Validated Model Scaling Zero Forward Liabilities

To bypass long maritime capital freezes, the business scaled to an 8,000 sq ft multi-facility infrastructure footprint by securing authorized domestic manufacturer dealerships. To fund critical exterior branding and signage landmarks without incurring external equity dilution, I proactively secured capital via enrollment in a professional, certified regional clinical research program. Once this commercial dealer layout was successfully stabilized and cash-flowing, we introduced a structured commercial bank loan to aggressively expand showroom floor inventory volume. Due to escalating operational headwinds and cash flow constraints balancing inventory volume against velocity, the business entered its final phase, where I single-handedly managed and executed the comprehensive winding-down protocols. Acting as the sole executioner of the closure phase, I successfully negotiated all commercial real estate lease terminations, strategically liquidated remaining asset inventories, and completely wrapped up operations to eliminate the venture's forward liabilities.

Supply ModelJust-In-Time Partner Model
Leverage TimingPost-Revenue Validation
Signage FundingClinical Research Capital
Project StatusSunsetted / Sole Operator Closeout

Agentic AI Optimization Layer: Just-in-Time Capital & Labor Synchronization Agent

01 / Dynamic Labor Scheduling Tracks incoming carrier telemetry. Automatically dispatches on-call text message queues to scale up staging crew size exactly 4 hours prior to trailer arrival.
02 / Cash Velocity Router Monitors checkout receipts from fast-turning Marketplace channels to automatically route liquid capital balances into the COD settlement pool.
03 / Cross-Dock Routing Trigger Parses electronic manufacturer invoices, matching specific product dimensions with ready outbound transport vehicles to execute immediate last-mile routing.
Cross-Cutting System Infrastructure Layer Master Prototype Integration

Optimizing Administrative Overhead via Prompt-Engineered Agentic AI

To support a lean three-person headcount across multiple active facilities, this retrospective prompt-engineering architecture acts as an automated context translator. It intercepts unstructured colloquial log streams sent via text from team members in the field and converts them into standardized, schema-validated JSON data configurations, allowing automated database updating and real-time stock monitoring across all operational lifecycles.

Automated Ledger Extraction Example
Schema Validated
Transaction Reference TXN_PH3_JIT_8042
Active Operational Phase Phase 3 Domestic JIT Pipeline
Target Facility Node WH_FACILITY_B_EAST
Carrier Telemetry Status Docked (ID: DOM_FREIGHT_99)
Ingestion Volume 14 Floor Model Showroom Units
Financial Settlement Gateway Cash On Delivery Cleared
Labor ReductionProjected 95% Cut
Data StructureStrict JSON Ingestion
Parsing FrameworkPrompt-Engineered LLM
System ResponseZero-Latency Syncing
Governance & Controls

Project Management Artifacts

Select a tab below to inspect the explicit milestone baselines and risk mitigation matrix frameworks mapped across your three primary venture lifecycles.

Milestone / Phase / Stage Operational Focus Node Execution Protocol & Dependencies PM Risk Mitigation Note
Phase 1: Foundational Used Furniture Bootstrap Model
Stage 1: Sourcing & Digital Marketplace Arbitrage Sourcing Strategy Scoured Facebook Marketplace, liquidations, and student housing networks to capture severely undervalued assets. Negotiate immediate cash purchase cycles to hold individual dollar exposure durations at a baseline low.
Stage 2: Rapid Sweat-Equity Refurbishment & Staging Value Addition Transported acquired items straight to a centralized production layout for conditioning and structure repairs. Execute absolute detailing filters to guarantee deep value-added margin markups on listing entries.
Stage 3: High-Velocity Digital Productization Market Clearance Captured clean, high-fidelity portfolio photography elements paired with benefits-focused online descriptions. Leverage localized consumer seasonal cycles to clear active inventory channels rapidly.
Stage 4: Progressive Multi-Iteration Logistics Overhaul Fleet Optimization Scaled logistics protocols from a borrowed truck asset, to standard rental solutions, procurement of a dedicated box truck, and finally a twin pickup truck and trailer network. Continuous data-driven analysis eliminates variable rental overhead and matches payload velocity targets.
Stage 5: Capital Reinvestment Loop Capital Velocity Kept company cash standing fully liquid, allowing the reselling pipeline to function as a steady growth cash cow. Fully fund intermediate overseas wholesale manufacturing slot pipelines entirely out of cash flow reserves.
Milestone / Phase / Stage Operational Focus Node Execution Protocol & Dependencies PM Risk Mitigation Note
Phase 2: Global Container Sourcing Model
Stage 1: Sourcing Initiation & Factory Allocation Gate Sourcing Strategy Aggregated liquid capital reserves generated by local reselling; authorized production slots with international factories. Deposit Mitigation: Wire disbursements are scheduled to match peak used furniture liquidations to ensure working capital health.
Stage 2: Transit Departure & Ocean Tracking Node Logistics Flow Secured carrier booking confirmation notes; initiated maritime location tracking loops over a 20-35 day ocean route window. Buffer Controls: Capital remains frozen in maritime pipelines; localized reselling models continue to support operational baselines.
Stage 3: Port Entry Customs Entry & Drayage Gate Market Clearance Transmitted absolute commercial invoices and itemized bill of lading datasets to clear customs lines and terminal points. Demurrage Shield: Keep clear capital reserve allocations active to process customs and tariffs immediately, preventing port fees.
Stage 4: Multi-Facility Intake & Hand-Unload Gate Value Addition Mobilized internal warehouse shifts and onboarded 1-2 additional on-call personnel to execute rapid, manual de-vanning and itemized sorting protocols. Detention Control: Optimize labor shifts to ensure the full container is completely cleared within the carrier's 1-hour tier limit.
Milestone / Phase / Stage Operational Focus Node Execution Protocol & Dependencies PM Risk Mitigation Note
Phase 3: Domestic Dealer Just-In-Time Model
Stage 1: Signage CapEx Sourcing & Footprint Launch Non-Dilutive Funding Established authorized manufacturing partnerships; integrated capital from a certified clinical research program to build storefront signage landmarks. Zero Dilution: Avoid taking out early interest-bearing loans or reducing core equity to fund zoning compliance elements.
Stage 2: Operational Scaling & Commercial Debt Ingestion Showroom Scaling With active manufacturer pipeline infrastructure already verified and liquid, introduced a structured commercial bank loan to rapidly absorb volume surges. Inventory Maximization: Maintain high floor-turn velocities to outpace amortization schedules while shifting transit liability to suppliers.
Stage 3: 24-48 Hour Delivery Notification & Facility Prep Capacity Readiness Carrier electronic systems pass arrival telemetry updates 24-48 hours prior; triggers warehouse floor optimization. Intake Readiness: Automated labor standby notifications optimize floor deployment windows exactly 4 hours prior to trailer unsealing.
Stage 4: Arrival, Cash-on-Delivery (COD) Settlement & Gate Intake Capital Velocity Freight unsealing gates trigger on-the-spot COD financial settlements alongside systematic physical auditing protocols. Inspection Guard: Mandatory 10% sampling runs prior to driver signature prevents ingestion of damaged manufacturer assets.
Stage 5: Outbound Cross-Docking & Sole Operator Closeout Project Sunset Phase Single-handedly managed the wind-down, dissolving multi-facility space leases and liquidating stock lines to wrap up operations. Risk Closure: Manage absolute winding-down criteria as the sole executive to completely eliminate all forward organizational liabilities.
SUPPLY CHAIN OPTIMIZATION // MERCHANDISING OPERATIONS

The Strategic SKU & Vendor Framework

Category and operations management isn't about looking at static spreadsheets—it's about lifecycle velocity and risk mitigation. This framework combines algorithmic SKU velocity tiering with predictive project governance frameworks to flag underperforming lines, identify margin leaks, and systematically prep for win/win vendor negotiations.

Live Optimization Engine

Interactive SKU Performance Dashboard

Simulated Category Manager Interface — Real-time Product Line Audit Data

GMROI Weighted
SKU Reference Category Line Sales Velocity Trend Gross Margin % GMROI Framework Action Flag AI Automation Trigger
#MTR-8821-X Heavy Duty Starters / Alternators Down 14% (YoY) 32% (Target: 38%) 1.12 Underperforming SKU ADD / DROP AUDIT Engineered a localized supplier margin-reconciliation prompt to auto-draft a 4% tier-one cost markdown request based on regional volume adjustments.
#BRK-4402-A Ceramic Brake Premium Kits Up 28% (YoY) 44% 3.45 High Velocity Expand Line / Reorder Automated trigger sent to DC Operations to establish an agile 15% safety stock buffer, mitigating upcoming domestic freight bottlenecks.
#FLT-9910-G Performance Synthetic Filtration Flat (+1%) 22% (Margin Leak) 1.85 Renegotiate Terms Deployed an LLM contract parser to audit supplier agreement data, automatically flagging a missed 2% volume rebate clause for the upcoming QBR.
Execution Matrix

Structured Vendor Governance & Win/Win Negotiation

PRE-NEGOTIATION MILESTONE & ALIGNMENT

Every product line audit is structured as a formal project lifecycle to eliminate cross-functional friction. Before initiating vendor contact, I build a unified stakeholder communication matrix. This ensures data alignment across Pricing teams (for gross margin tiering) and DC Operations (for warehouse slotting and capacity planning), preventing store-level execution bottlenecks before a contract is even signed.

The Win/Win Negotiation Philosophy

Data-driven insights are leveraged to establish collaborative supplier alternatives. If a vendor cannot meet strict margin recovery targets on underperforming SKUs, the strategy pivots to negotiating macro operational levers. This includes securing preferential payment terms (e.g., Net 30 to Net 60) or establishing a Vendor-Managed Inventory (VMI) model to optimize GMROI and warehouse velocity without fracturing the supplier relationship.