Logistics & Supply Chain
Forecasting models that predict demand at warehouse locations to set optimal replenishment triggers — reducing both excess inventory holding costs and stock-out events.
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Industry overview
Inventory optimisation systems that use demand forecasting and lead time modelling to set location-level reorder points and safety stock — reducing inventory holding costs without increasing stock-out frequency.
At a glance
Inventory management is a balancing act: too much stock ties up working capital and creates obsolescence risk; too little causes stock-outs that affect customer service levels and require expensive expediting. Most inventory replenishment systems use simple reorder point rules based on average demand — which performs poorly under variable demand or lead times.
We build location-level demand forecasting models that account for seasonality, promotional events, and channel mix. Safety stock models incorporate lead time variability from each supplier — not just average lead time. Slow-mover and dead-stock identification modules flag items consuming space without turnover. Automated replenishment proposal workflows present buyers with model-generated purchase orders, with override capability and variance tracking.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to logistics & supply chain clients.
Location-level demand forecasting with seasonal and promotional factors
Safety stock optimisation incorporating supplier lead time variability
Slow-mover and dead-stock identification and clearance alerting
Automated replenishment proposal generation for buyers
Supplier lead time monitoring and variability tracking
WMS integration for inventory position and replenishment execution
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