How does Flowlity handle promotions and demand variability?

Flowlity incorporates demand variability directly into its core probabilistic models rather than treating it as a correction applied after the fact. Every forecast comes with a confidence range, so replenishment decisions account for how uncertain demand is, not just what the point estimate says.

On top of that, the platform can simulate the expected impact of promotions on future demand, drawing on past comparable promotions, price elasticity signals, and seasonality to estimate the uplift at the SKU-store level. Planners can pre-position inventory ahead of the promotion and avoid the twin failures of stockouts during the peak and overstocks at non-promoted locations.

The result is a replenishment strategy that adapts proactively rather than reactively, maintaining service levels during the periods of highest uncertainty, when it matters most.