Streamline your logistics and warehouse operations with AI-driven solutions that maximize efficiency and reduce costs.
Menhir’s Explainable AI provides clarity on logistics and inventory decisions, revealing the impact of warehouse strategies on overall supply chain efficiency.
Our Causal AI uncovers the root causes affecting supply chain performance, enabling precise modifications in warehouse management to enhance throughput and reduce bottlenecks.
Our execution approach empowers actionable adjustments in real-time, aligning inventory levels with market demands and optimizing logistics routes to ensure fast and cost-effective delivery.
Menhir's Decision Apps automate critical functions such as inventory forecasting, route planning, and resource allocation, streamlining operations across the entire supply chain.
Our proprietary AI suite optimize warehouse layouts and manage stock through predictive analytics, ensuring optimal resource utilization and minimized waste.
Menhir’s Data Fabric collects and synthesizes data from every point in the supply chain, from supplier delivery times to customer demand forecasts, creating a unified view that supports strategic decision-making.
Menhir develops decision-making AI to help executives and managers reduce uncertainty by anticipating the outcome of business decisions.
Menhir develops decision-making AI to help executives and managers reduce uncertainty by anticipating the outcome of business decisions.
Menhir develops decision-making AI to help executives and managers reduce uncertainty by anticipating the outcome of business decisions.
Menhir develops decision-making AI to help executives and managers reduce uncertainty by anticipating the outcome of business decisions.
Menhir develops decision-making AI to help executives and managers reduce uncertainty by anticipating the outcome of business decisions.
Menhir develops decision-making AI to help executives and managers reduce uncertainty by anticipating the outcome of business decisions.
Menhir transforms warehouse and supply chain management, reducing operational costs and enhancing responsiveness to market changes.
Optimise staff and machinery deployment based on real-time demand, significantly enhancing operational efficiency and reducing labor costs.
Implement AI-driven inventory adjustments that align with seasonal sales patterns and promotional impacts, reducing overstocks and improving cash flow.
Utilise AI to continuously update delivery routes and schedules, minimising delays and reducing transportation costs, even under rapidly changing conditions.