Data Products

CPG Demand-Sensing

Consumer Packaged Goods (CPG) companies use demand-sensing to predict future demand for their products. Demand-sensing is a process that uses real-time data to forecast demand for products. This helps CPG companies to optimize their supply chain and inventory management, reduce waste, and improve customer satisfaction.

Popular Use Cases

• Forecasting demand for new products
• Optimizing inventory management
• Reducing waste by predicting demand accurately
• Improving customer satisfaction by ensuring products are available when customers want them

Data Sets for Demand-Sensing in CPG

CPG companies can use a variety of data sets to perform demand-sensing. Some of the popular data sets include:

• Sales data from retailers
• Point of sale (POS) data
• Weather data
• Social media data
• Web traffic data
• Supply chain data

By analyzing these data sets, CPG companies can gain insights into consumer behavior, market trends, and other factors that impact demand for their products. This helps them to make more informed decisions about inventory management, production planning, and marketing strategies.