Innovating retail and supply chain tech with AI & machine learning.
With 15+ years of product and technology leadership, I build innovative enterprise software and AI/ML-driven decision engines for complex retail merchandising and global supply chain operations ($470M+ verified impact).
From architecting Generative AI forecasting systems that reduce forecast error by 25% at massive enterprise scale to scaling merchandising decision engines from early startup through a $150M acquisition, I bring a unique combination of technical fluency and executive strategic vision across retail, machine learning, and supply chain logistics.

Professional Experience
15+ years of leadership scaling high-concurrency systems, retail merchandising suites, and AI decision engines.
Global E-Commerce & Cloud Enterprise
Sr. Product Manager - Technical (Supply Chain & AI/ML)- Spearheaded the creation of a Generative AI forecasting system that moved beyond predictive analytics to autonomous supply/demand orchestration, leading to a 25% reduction in forecast error (WAPE).
- Led product strategy and architectural overhaul for core ML-driven decision engines (Distributed Order Management), processing massive real-time supply chain event streams to deliver $470MM+ in verified annual savings.
- Improved short-term forecasting algorithms used for dynamic workforce and labor allocation across logistics nodes, driving $145MM in annual operational savings.
- Directed predictive models for global last-mile driver and resource scheduling, resulting in >800 fewer daily schedule gaps and $90MM in annual savings.
- Leading an enterprise-wide outbound network flow initiative across Fulfillment Centers (FCs), cross-docks, line-haul trucking, and final-mile delivery stations to simultaneously lower cost-to-serve and expand fulfillment capacity.
- Orchestrated annual operational planning (OP1/OP2) and multi-year product roadmaps across multidisciplinary engineering and applied data science squads.
Enterprise Retail Planning & Supply Chain SaaS
Senior Strategic Consultant & Solution Architect- Acted as trusted advisor and solution architect to enterprise retail clients, diagnosing operational bottlenecks and architecting future-state supply chain and forecasting technology.
- Developed and demonstrated Machine Learning Proof-of-Concepts (POCs) proving algorithmic business value directly to C-suite and VP stakeholders, directly driving enterprise contract wins.
- Built standardized business value models, ROI calculators, and competitive battle cards to train global pre-sales and sales organizations.
- Evangelized cross-team agile coordination processes inspired by SAFe to accelerate client delivery and prevent duplicate engineering work.
Enterprise Retail Tech & Global Logistics Platform
Senior Director of Product for Demand Management & Pre-Sales- Sold a ~$3.0M strategic co-development agreement for next-generation ML forecasting, allocation, and replenishment SaaS, generating >$3.5M in new annual contract value (ACV).
- Directed product strategy and roadmaps for attribute-based ML forecasting modules, leveraging digital signals (customer reviews, images, social data) to achieve best-in-class forecast precision.
- Spearheaded strategic integration with an enterprise global logistics network platform, unlocking predictive analytics over multi-tier shipping data to establish a high-moat advantage.
- Won internal innovation competition by developing an advanced time-series demand forecasting model using Facebook Prophet, pandas, and scikit-learn.
- Scaled the technical pre-sales and solution architecture organization from supporting 3 account executives to over 60 globally.
Retail Merchandising & Demand SaaS (Acquired for $150M)
VP of Merchandising Applications- Reported directly to the CEO, formulating the multi-year product roadmap for retail assortment planning, merchandise financial planning (MFP), item planning, and pricing engines.
- Drove high-growth product strategy achieving >33% CAGR, positioning the platform for a successful $150MM SaaS acquisition exit.
- Achieved #2 ranking in the Gartner Magic Quadrant for Merchandise Assortment Management Applications with top marks for "Ability to Execute".
- Led Agile (SAFe/Scrum) design and deployment of enterprise SaaS assortment solutions for Tier-1 retailers ($70B–$80B revenue), improving inventory turns and GMROI.
- Constructed automated batch workflow schedulers, data pipeline tooling, and automated test frameworks across Python, Bash, and Node.js.
Global Retail Strategy & Supply Chain Consulting
Supply Chain & Technology Consultant- Redesigned the procurement and inventory allocation processes for a major wholesaler/retailer, unlocking $16M in benefits by shifting decision thresholds 6–8 weeks closer to real demand.
- Led a $1.5M Warehouse Management System (WMS) implementation for a startup direct-to-consumer facility supporting a $1B+ global luxury brand.
- Developed cost and benefits models for multi-million-dollar supply chain transformations and conducted ERP system selections for large retail apparel wholesalers.
- Documented enterprise functional requirements and evaluation criteria across sourcing, transportation, allocation, order management, and financial planning.
Georgia Institute of Technology
Bachelor of Science in Industrial and Systems Engineering
- Summa Cum Laude (Major GPA: 3.9 / 4.0)
- Georgia Tech President's Scholar (Full merit scholarship awarded to top <2% of freshman class)
Endurance & Marathon Running
Atlanta, GA
Outside of scaling software and supply chains, I am an active marathoner and endurance runner in Atlanta. Preparing for 26.2 miles requires continuous preparation, strategic pacing, and unwavering focus through long cycles — attributes that directly translate to executive product execution and leading complex initiatives.
Strategic & Technical Toolkit
A balanced discipline spanning retail business strategy, applied machine learning, and high-concurrency systems.
Technology & Software Development
Enterprise B2B SaaS architecture, high-concurrency systems, and scaled product execution.
Retail & Supply Chain Domains
Deep domain expertise in retail merchandising lifecycles and global logistics networks.
AI & Machine Learning Techniques
Production decision engines, generative forecasting, and autonomous orchestration.
Published Articles & Thought Leadership
Strategic perspectives on retail technology, AI/ML evaluation, and supply chain logistics.
What's Going on in the Last Mile?
An in-depth analysis of how enterprise retailers re-architect supply chain footprints, fulfillment nodes, and carrier networks to balance rapid delivery with sustainable cost-to-serve.
Inventory Forecasting & Replenishment in an Omni-Channel World
Explores why legacy siloed forecasting breaks in omnichannel retail and how to synchronize multi-echelon demand signals across stores, distribution centers, and digital fulfillment.
Efficient Customer Order Routing
How dynamic constraint evaluation, split-shipment minimization, and real-time inventory visibility slash fulfillment costs across complex distributed networks.
Were There Really 132 AI Companies at NRF?
A pragmatic guide for retail executives to cut through marketing buzzwords and evaluate genuine, production-grade machine learning algorithms that generate verified business ROI.