AI-driven demand forecasting, inventory optimisation, supply chain risk analytics, and planning intelligence — across manufacturing, retail, and consumer goods supply chains.
Manufacturing and retail organisations face demand volatility, supplier disruption, and planning complexity. Whether it's ERP data in manufacturing or POS and e-commerce data in retail — planning teams are left with fragmented systems and manual processes.
SKU-level and omnichannel demand variability from seasonality, promotions, and market shifts makes manual forecasting inaccurate and reactive.
Lead time variability, supplier failures, and logistics delays create cascading disruptions across manufacturing and retail supply chains.
Data sits across ERP, WMS, POS, and e-commerce systems with no unified analytics layer for planning and risk monitoring.
SKU-level and hierarchical demand forecasting with probabilistic outputs to improve planning accuracy across large product portfolios.
AI-driven safety stock and reorder point optimisation across multi-echelon networks to balance service levels and working capital.
Supplier disruption scoring, lead time monitoring, and logistics delay prediction to surface risk signals before they cause impact.
Demand forecasting by channel, category, and store — with replenishment optimisation and markdown planning for retail supply chains.
These use cases are enabled by SLICE — the StratLytics supply chain intelligence platform. SLICE integrates demand forecasting, inventory optimisation, and risk analytics into a governed architecture designed for manufacturing environments.
See how SLICE helps manufacturers and retailers operationalise AI across demand forecasting, inventory optimisation, and supply chain risk.