Merchandising Optimization Platform & $150M Acquisition
Led product roadmap and GTM strategy for high-growth enterprise merchandising SaaS (>33% CAGR), achieving #1 ranking for 'Ability to Execute' in Gartner Magic Quadrant and leading to a $150M acquisition.
Executive Overview
In the enterprise retail technology space, we set out to disrupt legacy on-premises retail merchandising systems with a cloud-native, algorithm-driven SaaS suite that unified assortment planning, price optimization, and predictive demand management.
Reporting directly to the CEO, I served as a strategic advisor on product roadmap direction, go-to-market execution, and engineering processes during a pivotal hypergrowth phase.
Key Results & Industry Recognition
- $150MM Successful Acquisition: Formulated and executed the high-growth product vision (>33% CAGR) that drove premier market valuation and culminated in a high-multiple $150M acquisition exit.
- #2 Ranking in Gartner Magic Quadrant: Achieved top marks for “Ability to Execute” in Gartner’s Magic Quadrant for Merchandise Assortment Management Applications, validating superior product direction against enterprise legacy vendors.
- $3.0M+ Strategic Co-Development Deals: Partnered directly with C-suite executives at Tier-1 global retailers ($70B–$80B revenue) to co-design, fund, and deploy next-generation assortment and ML forecasting SaaS modules.
- Innovation Award Winner: Won internal innovation competition by developing an advanced demand forecasting model using Facebook Prophet, pandas, and scikit-learn.
Leadership & Product Philosophy
- Bridging Science & Product: Worked side-by-side with operations research PhDs and software engineers to ensure complex mathematical formulations translated into intuitive, fast-rendering UI workflows for retail buyers and planners.
- Enterprise SaaS Metrics: Built scalable subscription pricing models, robust customer success feedback loops, and repeatable customer onboarding frameworks that sustained high net retention rates.