AI Native Supply Chain
Platform
Collapsing the gap between data, decisions and actions.
AI Native Supply Chain
Core Applications
Powerful applications and workflow assistants designed to transform your supply chain decision-making
Demand Forecasting
Improve forecast accuracy by 1,000+ basis points with AI-powered probabilistic forecasting
Our forecasting engine generates probabilistic forecasts that capture full demand distributions across SKUs, channels, and time horizons. Strum maintains a library of forecasting models from classical statistical approaches to deep learning architectures, automatically selecting the best model for your needs.
Three Core Pillars of Intelligence
1
Application Layer
Industry-specific model libraries with curated forecasting and optimization engines. Strum automatically tests multiple scenarios to select the best model for each customer's needs, combining traditional statistical methods with advanced machine learning and deep learning models enhanced by pre-tuned, industry-specific parameters.
2
Strategic Scenario Planning
Model complex supply-chain scenarios in minutes through our native Simulation AI Assistant. Answer critical "what-if" questions that once took days—expand assortment capacity limits, fulfill retailer promotions, or reallocate inventory during delays. Rapidly model demand, supply, and capacity dynamics for faster decisions.
3
Workflow Automation with AI Assistants
Modular AI "workers" handle tasks such as email, simulation, or analysis, flexibly combined to create powerful workflow assistants. Already launched assistants for Promotions Planning and New Product Planning automate recurring, input-dependent activities with generative AI, cutting cycle times by 50%+.
Measurable Business Impact
Strum AI delivers tangible results that drive top-line growth and bottom-line profitability
0.5% - 2%
Annual Revenue Growth
Through improved forecast accuracy, demand elasticity models, price/promotional modeling, and advanced seasonality/trend prediction
20-75 bps
Operating Margin Improvement
Via stochastic inventory optimization, decision latency reduction, and rapid scenario modeling
10-35%
Reduction in Excess Inventory
Lower excess and obsolete inventory costs through intelligent optimization
95%+
On-Time & In-Full Shipment Rates
Achieved through channel data integration, out-of-stock correction, and AI-powered fulfillment and allocation
50%+
Cycle Time Reduction
In key cross-functional workflows through AI assistants, on-demand data ingestion, and simulation