Smit & Zoon lacks precise insights into where and when the demand for leather chemicals will peak, potentially leading to inefficient production planning and unnecessary costs. Challenge: Develop an AI model that performs predictive analyses to forecast the future demand for leather chemicals in various world regions. Utilize public data and supply chain data to identify patterns and make accurate predictions. The AI tool should deliver month-by-month planning for different world regions, including EMEA, Asia, and the Americas. Additionally, it should be adjustable to input data and capable of learning from historical sales data to improve its accuracy over time.
We need to have better insight in our production planning and warehousing to have quicker deliveries we are working on installation of on internal integrated planning tool, but would love to add the external data too for more precise control.
A functional prototype of a predictive AI model, along with a plan for integrating it into our production planning process.
Royal Smit & Zoon is the world leading supplier of sustainable chemicals for leather manufacturing. We provide solutions for tanning, wet-end, finishing and beamhouse with our three main brands Smit, Codyeco and Nera.
We are committed to develop innovative products and solutions throughout our product offering as each drop makes a difference.
Royal Smit & Zoon is a 7th generation family owned company and started out in 1821. It has since grown into a worldwide renowned player that develops solutions for the leather industry. Our customers are active in industries such as automotive, fashion, furniture, outdoor, aviation and footwear. And, they have one thing in common: our customers all share the urgency for a more sustainable leather value chain.
Our mission is to create a socially and environmentally sustainable leather value chain by 2025, together.
