Working Capital Optimization

Demand forecasting and contract analysis predict cash flow and optimize inventory and payment terms for working capital

Business impact

• Days Sales Outstanding (DSO) — AI forecasts late payments to reduce collection times and improve cash flow
• Days Payable Outstanding (DPO) — AI benchmarks and optimizes payment terms to balance cash outflows and supplier relations
• Inventory Levels — Demand forecasting reduces excess stock and holding costs while maintaining service levels
• Cash Flow Forecast Accuracy — AI-driven scenario simulations improve precision and agility in liquidity planning

Data requirements

• ERP transactional data (Structured) — Provides structured financial records for receivables, payables, and inventory analysis
• Contract documents (Text) — Used for NLP extraction of payment terms and compliance verification
• Market and industry benchmarks (Numeric) — Supports benchmarking payment terms and supplier performance
• Historical payment behavior (Numeric) — Feeds predictive models to forecast customer payment patterns
• External economic indicators (Numeric) — Informs demand forecasting and cash flow scenario simulations

AI methods and techniques

• Predictive AI — Forecasts payment delays, demand, and cash flow to enable proactive management
• Agentic AI — Automates contract term extraction, benchmarking, and scenario simulations for decision support
• Symbolic AI — Ensures rule-based compliance checks and enforces payment policies

AI models and model families

Random Forest, Support Vector Machine, Naïve Bayes, GPT-4o, Claude

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Procter & Gamble.