Jhon Rhey Deriquito

Experienced inventory planning and data analytics professional with a career spanning corporate and freelance environments, specializing in demand forecasting, operations management, and process optimization.

Since November 2021, he has been part of Copeland (formerly Emerson), serving as Supervisor of Sales and Demand Planning – Data Analytics. In this role, he leads regional forecasting operations across Asia and the Middle East–Africa, supporting over $900M in annual trade. His work involves developing analytical frameworks, automation models, and reporting dashboards using Power Query and Sigma Computing. These initiatives improved forecast accuracy by 80%, streamlined cross‑functional reporting, and enhanced management visibility across regional and global supply chains. He also collaborated closely with global operations teams to design simulation tools used to anticipate material and supply fluctuations, directly influencing production and procurement planning decisions.

From 2022 to 2025, he concurrently worked as a Freelance Inventory and Operations Manager, supporting multiple international e‑commerce brands, including HEYBUD Skincare (Australia), SOLAWAVE (U.S.), and Origin Tea. For HEYBUD, he implemented end‑to‑end supply chain capabilities, covering demand forecasting, procurement alignment, and 3PL logistics management—resulting in a 25% reduction in order cycle time and 15% improvement in forecast accuracy. For SOLAWAVE, he built multi‑channel demand and replenishment models for DTC, Amazon, and retail channels that significantly improved stock visibility and allocation efficiency. His earlier engagement at Origin Tea focused on supplier collaboration, standardized purchasing forecasts, and building forecasting templates that improved accuracy and communication between production and inventory teams.

Across these roles, Jhon Rhey has demonstrated expertise in data modeling, forecasting accuracy improvement, and supply chain system integration. His background showcases strong command of tools such as Power Query, Excel, Sigma, and SQL for data transformation and analytics. His work consistently bridges the gap between data analysis and business execution, ensuring that insights translate into measurable operational value.

Overall, his professional experience reflects a track record of optimizing inventory systems, enhancing forecast performance, and driving data‑based decision frameworks across manufacturing and e‑commerce sectors