Supply chain disruptions often occur from sudden buyer shifts due to economic factors, seasonal trends, or current events. These unexpected changes influence consumer behavior and engagement across categories. Without predictive insights, demand can overtake supply, leading to missed sales and poor in-store performance. Early detection of shifts in shopper intent helps teams respond before disruptions spread.

A disruption in one category often causes disruptions in related categories. When products are unavailable, shoppers will shift toward other options, creating unpredictable demand for replacements and substitutes. Tracking patterns across connected and related products enables better collaboration of supply strategies with trending shopper behavior.

Promotional outcomes can fall short of forecasts, potentially resulting in overstocking, lost profits, and product shortages. This typically occurs when promotional plans rely heavily on historical data without considering current demand signals. Aligning offers with insights optimizes timing, improves ROI, and reduces gaps between predictions and results.