Demand Sensing Solutions

Next-generation Order Forecasting Platform

Demand Sensing automatically combines all of your demand signals to give you a daily forecast that is accurate, current and consistent. Demand Sensing automates the analysis of volumes of data from retailers, manufacturers and suppliers with new pattern recognition algorithms to create accurate daily forecasts. Better math plus additional data can reduce forecast error up to 40%. Daily forecasts are published directly into supply planning systems, such as SAP SNP, resulting in a practical solution that scales to meet the needs of the world’s largest supply chains.

The software bolts on to traditional demand planning systems and is completely compatible with Demand Planning systems from all major ERP and supply chain vendors, including SAP, JDA and Oracle.

Why Demand Sensing?

  • Improve short-term forecast accuracy dramatically with very little effort – up to a 40% reduction of forecast error
  • Use accurate demand predictions to confidently reduce safety stock and excess inventory, and to further your demand-driven journey
  • Navigate volatile markets to drive profitable growth
Financial Advantage
  • Reduce inventory by days
  • Lower working capital requirements
  • Improve cash conversion cycle
  • Ensure profitable growth
 
Supply Chain Productivity
  • Improve on-shelf availability and customer service
  • Enhance lean processes
  • Reduce unplanned changeovers
  • Decrease stock rebalancing/order movements
 
Sustainability
  • "Reduce” provides more impact than reuse or recycle
  • Smaller inventory footprint
  • Fewer transshipments
  • Significant carbon and water savings
 

Real-World Results

Terra Technology pioneered demand sensing and is the first to offer a solution with proven real-world results. Demand Sensing reduces near-term forecast error by up to 40%, enabling a significant reduction in inventory and cost savings. Adding downstream data further reduces forecast error by almost as much again. We don’t just make these claims: our customers support them in interviews, case studies and press releases; as do analysts through case studies and impartial industry research.