Nadia Kowalski
Head of ProductNadia joined Fomuta Goxoze after spending eight years managing inventory operations for a regional apparel chain with fourteen locations. That experience shapes every product decision she makes. She knows what it feels like to receive a low-stock call at 7am and have no reliable way to check whether another store has surplus.
Her work at Fomuta Goxoze focuses on keeping the platform grounded in real operational need rather than theoretical capability. She runs quarterly sessions with active users to understand where the platform helps and where it creates friction, then translates that into the development roadmap.
Nadia is based in Chicago and holds a degree in Supply Chain Management from the University of Illinois.
Marcus Chen
Lead EngineerMarcus leads the engineering team that builds and maintains the real-time data infrastructure at the heart of the platform. His primary concern is latency: how quickly inventory changes at a store register across the entire system. He has spent considerable time optimizing the pipeline that handles high-volume sales periods like weekends and seasonal peaks.
Before Fomuta Goxoze, Marcus worked on data infrastructure for logistics companies, where he developed an interest in the specific challenges of inventory systems that span many physical locations. He brought that focus to retail inventory when he joined the company.
Marcus holds a degree in Computer Science from Northwestern University and is based in the Chicago area.
Priya Anand
Customer Success LeadPriya manages the relationship between Fomuta Goxoze and its retailer accounts from the moment onboarding begins. She runs training sessions for store staff, district managers, and buyers separately, because each group uses the platform differently and needs to understand different parts of it.
Her approach to onboarding is methodical. She documents each retailer's specific configuration so that when staff changes happen, the knowledge does not leave with the person. She also maintains the platform's help documentation and updates it whenever the product team ships new functionality.
Priya previously worked in implementation consulting for retail technology companies. She holds a degree in Business Administration and is based in Chicago.
Jordan Ellis
Data Science LeadJordan built the forecasting models that produce the seasonal demand projections in the platform. The work started with a straightforward question: given a location's sales history for the same period last year, what is a reasonable projection for the same period this year, adjusted for known factors like store growth and product changes?
The answer turned out to be more location-specific than expected. Jordan's research showed that seasonal patterns vary significantly between store locations even within the same chain, and that averaging across locations produces forecasts that fit no individual location well. The platform's per-location forecasting reflects that finding.
Jordan holds a graduate degree in Applied Statistics and has a background in retail analytics research.