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Develop an Cockpit report for supply chain to identify products at risk of exceeding their "Sell by Maximum Time" (SMT) date, considering current stock, sales forecasts, product batches, storage locations, and stock types.
Supply chain faced the critical challenge of managing products with Best Before Dates (BBD). Each product had a specific timeframe before it could no longer be sold to third parties. To avoid potential losses, it was imperative to track the "Sell by Maximum Time" (SMT) date, the latest date a product could be sold. Our goal was to develop an algorithm that identifies the count of products at risk of exceeding their SMT date based on current stock and sales forecasts.
Create a platform for collecting, processing and analyzing data on market share and other indicators for the Marketing and Innovation Department, Nutricia Netherlands.
Employees constantly analyze the market and the Company's place in it. Looking for niches for new products and opportunities to expand the presence of existing ones. To accomplish these tasks, they need an analytical platform that will save them from routine data preparation processes and allow them to focus only on market analysis.