MLchartDataset catalogue

Supply chain demand sensing

Term · Logistics and supply chain · MLC-T-LOG-000212

The practice of using real-time or near-real-time data to develop a highly accurate, short-term forecast of customer demand. It analyzes daily data signals, such as point-of-sale information, weather patterns, and social media trends, to detect shifts in demand patterns much faster than traditional forecasting methods. This approach contrasts with demand forecasting, which relies on historical sales data and longer time horizons like weeks or months.

Table 1. Record
IdentifierMLC-T-LOG-000212
FieldLogistics and supply chain
Record as JSON
{
  "id": "MLC-T-LOG-000212",
  "term": "Supply chain demand sensing",
  "field": "Logistics and supply chain",
  "definition": "The practice of using real-time or near-real-time data to develop a highly accurate, short-term forecast of customer demand. It analyzes daily data signals, such as point-of-sale information, weather patterns, and social media trends, to detect shifts in demand patterns much faster than traditional forecasting methods. This approach contrasts with demand forecasting, which relies on historical sales data and longer time horizons like weeks or months.",
  "url": "https://mlchart.com/terminology/logistics/supply-chain-demand-sensing/"
}

Record 225 of 256 in Logistics and supply chain terminology (MLC-0105). Request the full dataset.