Supply Chain & Data Analytics Intern

About Kitchen Crest Cabinets (KCC):

Kitchen Crest Cabinets (KCC) is a fast-growing cabinetry wholesaler specializing in Ready-to-Assemble (RTA) and assembled cabinet programs. With multiple distribution centers across the U.S., KCC is focused on scaling operations through data-driven decision-making, efficient logistics, and innovative supply chain strategies.

KCC is seeking a highly motivated Supply Chain & Data Analytics Intern to support warehouse operations, procurement strategy, and data-driven supply chain initiatives. This role blends hands‑on operational work with analytical and strategic projects, making it ideal for students interested in sociology, statistics, and real-world applications of data in business operations.

• Conduct physical inventory counts and cycle counts across warehouse locations
• Audit inventory accuracy and identify discrepancies
• Support improvements in inventory tracking and warehouse processes
• Collaborate with warehouse teams to understand operational workflows

• Assist with tracking inbound shipments, purchase orders, and transfers between warehouses
• Analyze logistics data (lead times, fulfillment rates, stockouts)
• Support coordination between procurement, warehouse, and sales teams
• Help identify inefficiencies and propose process improvements

• Support development of a structured procurement network across SKUs and locations
• Assist in building inventory forecasting models and demand planning frameworks
• Help design and test ordering cadences based on historical sales and variability
• Work with datasets to analyze trends, seasonality, and purchasing patterns
• Contribute to early-stage machine learning and predictive modeling initiatives for demand forecasting

• Hands‑on experience in warehouse operations and supply chain logistics
• Exposure to real-world applications of statistics and data analysis
• Experience working with inventory, procurement, and forecasting models
• Opportunity to contribute to high‑impact projects in a growing company
• Mentorship and direct collaboration with leadership

• Currently pursuing a degree in Sociology, Statistics, Data Science, Economics, or a related field
• Strong analytical and problem‑solving skills
• Interest in operations, supply chain, or logistics
• Comfortable working with data (Excel required; Python/R is a plus but not required)
• Detail‑oriented and willing to work both in‑office and in a warehouse environment
• Strong communication and organizational skills

• Experience with Excel (pivot tables, basic analysis)
• Exposure to data analysis tools (Python, R, SQL)
• Interest in machine learning or forecasting