Co-Packing Routing

The Co-Packing Routing function will evolve from a reactive data entry role into a dynamic optimization engine. In the near term, we focus on digitizing manual spreadsheets to ensure real-time visibility of co-packing orders across multiple facilities. This foundational step eliminates errors and provides a unified dashboard for tracking inventory levels and shipment statuses. Moving into the mid-term, the strategy shifts toward predictive analytics by integrating historical sales data with supplier lead times. We will deploy automated algorithms that dynamically re-route orders based on stock availability, minimizing delays and reducing excess inventory costs. Finally, in the long term, the function will become an autonomous decision-making hub within the broader supply chain ecosystem. By leveraging machine learning models to anticipate demand fluctuations and optimize container loads, we aim to achieve near-zero waste in routing decisions. This progression transforms our operation from a cost center into a strategic asset that drives efficiency, resilience, and superior customer service through intelligent logistics management.