Strum AI provides an AI‑native platform that quickly integrates enterprise supply‑chain data using a canonical schema and LLM‑driven semantic mapping, enabling demand, supply, and inventory teams to access a unified view within days.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise supply chains often suffer from fragmented data sources, slow manual integrations, and inaccurate demand forecasts, leading to excess inventory, stockouts, and delayed decision-making.
Solution
Strum AI offers an AI-native platform that rapidly integrates supply‑chain data using a canonical schema and LLM‑driven semantic mapping, reducing onboarding time from months to days. The platform delivers probabilistic demand forecasts that improve accuracy by over 1,000 basis points. An adaptive decision layer combines scenario simulation, stochastic inventory optimization, and AI‑driven workflow assistants to prioritize critical actions across demand, supply, and inventory functions. By automating data ingestion and providing a unified interface for cross‑functional workflows, the solution shortens decision latency, lowers excess inventory, and supports measurable revenue growth and margin improvement.
Target Audience
Primary customers are large enterprises and mid‑market companies that manage complex, multi‑tiered supply chains and require advanced analytics to optimize demand planning, inventory control, and fulfillment operations.
Features
- Rapid data integration via a canonical supply‑chain schema with LLM‑powered semantic understanding of demand, supply, inventory, and product hierarchies
- Probabilistic demand forecasting that boosts forecast accuracy by 1,000+ basis points
- Adaptive application layer that simulates complex scenarios and runs cross‑functional workflows
- Inference and actions layer with AI agents that surface the most critical actions and automate routine tasks
- Stochastic inventory optimization to reduce excess and obsolete stock while improving on‑time‑in‑full delivery rates
- Unified dashboard that presents actionable insights, scenario outcomes, and performance metrics for continuous learning