How does Saint-Gobain Sekurit use Flowlity's Strategic Simulations in daily planning?

Strategic Simulations let Sekurit's planners test the impact of a policy or demand change before committing to it. The team can adjust buffer levels by DC or product tag and instantly see the projected impact on inventory, coverage, and stockout risk, which replaces the old approach of changing rules and hoping for the best. Concretely, planners can model scenarios like reducing buffer from 95% to 70% for a given category in DC 12 ahead of low season, and see within seconds what that does to inventory quantities, coverage days, and rupture risk. This capability is particularly valuable for navigating seasonal transitions, client portfolio changes, and disruption scenarios where the cost of getting the policy wrong is high. The simulation engine runs on the same probabilistic forecasts and dynamic buffer logic as the production system, so what the planner tests is what the platform would actually do, not an approximation. For a network as complex as Sekurit's, this shifts inventory policy from gut feeling to evidence-based decision-making and builds the team's confidence to commit to changes that would otherwise feel too risky.