Reorder points that optimize themselves
Instead of static ERP parameters: AI calculates the optimal reorder point and order quantity for every item, every day – based on true probability distributions.
What we solve
Excessive safety stock
Because uncertainty is cushioned with blanket buffers instead of being modeled precisely.
Outdated parameters
Reorder points are configured once and never updated – while demand and lead times changed long ago.
Manual effort
Planners spend their time on routine instead of on the exceptions where their experience really counts.
Three steps from a file to an optimized warehouse
Demand forecasting
Expected value and standard deviation of demand are quantified for every item – as a full probability distribution, not just a point forecast.
Inventory simulation
Future inventory levels are simulated by convolving the probability densities – including lead times and order cycles.
Parameter optimization
Reorder point and order quantity are recalculated daily and written directly into your ERP – fully automated.
Who it's for
Requirements: Historical sales data (at least 12 months) and an ERP system.
Results our clients achieve
98%+
Material availability
15–30%
Inventory reduction
up to 90%
Less manual effort
5–20%
Transport cost reduction
Ready for reorder points that think ahead?
Test AutoDispo with your own data, or discuss your use case directly with us.