Identify demand and supply patterns to recommend optimal Safety Stock based on each individual SKU’s historical data
Optimize stock level and achieve sustainable inventory control with stable inventory flow from plant to distributor
Boost customer trust and loyalty by ensuring the right product is always available at the right location at the right time
Achieve an average 40% Safety Stock reduction without impacting business in 6–8 weeks
InventoryOptimizationAi harnesses the power of Consequential Ai and Machine Learning to optimize stock levels, prevent overstocking or understocking, minimize holding costs for maximum efficiency and profitability
6-8 Weeks. Rapid time to Value
Avoid data complexity, talent scarcity, and platform dependency
Lower Freight costs by up to 14%
No need for a consultant and no need to replace current infrastruture
10x Lower costs of Data Science
Build vs buy, Faster, Better, Cheaper. Less cost, less risk
All your Data
Structured, Unstructured, and Scattered
Responsible Ai Transparency and Explainability
To mitigate risks with fairness and trust in the model
End-to-end
We do the heavy lifting from ingestion to insights
InventoryOptimizationAi enables retail chains, quick-service restaurants, and manufacturers analyze historical sales data, market trends, real-time data, and other variables to adjust inventory levels dynamically and create accurate demand forecasts. This allows companies to optimize their inventory levels to meet demand without overstocking or risking stockouts
Unlock additional value with SupplyChainNetworkAi and SupplyRiskAi to optimize supply chain network routes and reduce material and capital risk
Harnesses the power of Consequential Ai and Machine Learning to reduce costs and risks, and improve operational efficiency in supply chain operations
Enhances supply chain risk visibility by fusing market data with supply chain data across silos with last-mile AI
