Eliminate Latency. Sense the Market in Real-Time.
The future is rarely a mirror of the past. Drive forward without looking in the rearview mirror.
Traditional statistical forecasting relies on historical shipments and monthly planning cycles. This creates massive latency, an inability to quickly react to what is happening now. When market conditions shift abruptly, monthly cycles are too slow to react, forcing companies to buffer for uncertainty with expensive safety stock or suffer costly stockouts.
Demand Sensing is a SaaS solution that augments your statistical baseline. We use AI-driven pattern recognition to ingest real-time, downstream signals and dynamically adjust your forecast.
The AI continuously analyzes a wide array of predictive inputs, including Point-of-Sale (POS) data, target service levels, open orders, warehouse depletions, active promotions, and even weather patterns.
What is predictive for one customer may not be for another. The algorithms self-tune daily to find hidden correlations between channel data and actual demand, then adjust the short-term forecast intelligently.
Accurately measures the immediate volume impact of promotional activities and price changes as they happen.
Based on sell-in, sell-out, and inventory data, find the optimal balance of forecast to meet customer goals and ordering patterns.
By drastically reducing cycle time latency, Demand Sensing is proven to improve short-term forecast accuracy by 30-40%, allowing companies to reduce inventory by 10-15% while simultaneously improving customer service levels.