AI-Driven Demand Forecasting and Inventory Optimization for Warehousing & Distribution

In the fast-paced warehousing and distribution industry, accurate demand forecasting and efficient inventory management are critical to operational success. Our company, in its growth phase, faces challenges in predicting fluctuating demand, leading to overstock or stockouts. We seek an AI and Machine Learning expert to develop a comprehensive solution that integrates predictive analytics and computer vision to enhance our forecasting accuracy and inventory control. The project will involve creating a custom AI model leveraging TensorFlow and PyTorch, utilizing the OpenAI API for natural language processing to analyze historical data and market trends. Additionally, computer vision technologies will automate stock monitoring, employing YOLO for real-time inventory checks. This solution will support our warehouse managers in making data-driven decisions, optimizing stock levels, and reducing operational costs. The successful implementation of this project will result in significant cost savings by minimizing excess inventory and preventing stockouts. It will also enhance customer satisfaction by ensuring timely product availability. We are looking to complete this project within a 6-10 week timeframe, and we are ready to invest between $15,000 and $50,000 to achieve these objectives.