From Data Overload to Data Advantage
Today’s supply chains face complexities and constraints that traditional planning tools, and even experienced teams, cannot fully handle on their own.
Artificial intelligence (AI) enables planners and executives to manage unpredictability and volume without sacrificing accuracy or control. As AI continues to evolve, so will Arkieva, ensuring the technology serves the solution, not the other way around.
Predictive AI
- Neural networks, cluster analysis and demand sensing
- Long-range forecasting across time horizons and hierarchies
- Anomaly detection and early trend shift alerts
Generative AI
- Natural language chatbots for user-driven insights
- Automated reports from structured and unstructured data
- LLMs that adapt to user and system behavior
Agentic AI
- Autonomous agents monitor live conditions
- Immediate responses to inventory, demand and supply shifts
- Multi-echelon logic by location, SKU and constraint
Where AI Adds Critical Value
- Continuous Forecasting at Scale: Move beyond batch-driven updates with always-on, self-learning models that adapt to market shifts without waiting for a human to intervene.
- Anomaly Detection Before It Impacts the Bottom Line: AI recognizes subtle patterns and trend shifts across SKUs, regions or time periods, often before human teams
- Automated Scenario Modeling: Run “what-if” simulations faster, helping leadership respond to tariff changes, capacity constraints or pricing shifts without days of manual work.
Designed with Planners, Built for Leaders
- Enables faster decision-making by reducing time-to-insight across global operations
- Lowers total cost of ownership with self-learning models that require minimal maintenance
- Expands AI-driven planning capabilities to business users across functions, not just data teams
Real-Time Agentic Automation
- Autonomous agents monitor and act on supply chain triggers 24/7
- Immediate actions for inventory adjustments, production rescheduling and replenishment
- Reduces planner workload while maintaining human-in-the-loop control
Built for Complexity
- Adapts to multi-layered planning environments with variable demand, supply constraints, and regional differences
- Supports decentralized teams by aligning decisions across global functions, systems, and data sources
- Helps leaders make sense of interconnected variables faster without oversimplifying the planning problem
