Supply Chain
Always-on agentic AI that continuously predicts demand, optimizes inventory and pricing, and executes decisions in real time to protect service and maximize margin.
Agentic AI connects forecasting, inventory, and pricing decisions to real-time execution, improving service, protecting margin, and strengthening resilience across your supply chain.
Agentic UiPath solutions for pricing and inventory that supply chain teams deploy across the commercial and operations systems already in place.
Ready to deploy
Protect margin and accelerate deal cycles.
AI-optimized pricing models score win probability and price elasticity at the individual quote level. Conversion rates rise while margin is protected across CRM and CPQ systems.
Ready to deploy
Balance inventory and service with confidence.
Dynamic, probabilistic inventory optimization recalibrates safety stock and reorder points daily, balancing working capital against service level targets across every node in the network.
Ensemble ML models forecast demand across every horizon and hierarchy, learning from seasonality and external signals.
Decision optimizers apply guardrails, constraints, and business rules to balance margin, service, and capital.
AI agents execute decisions across ERP and commercial systems with full governance and auditability via UiPath Maestro.
UiPath Maestro coordinates agents, robots, and people across long-running supply chain and commercial workflows with full governance and audit trails.
"By using AI for inventory, we're able to anticipate and respond to demand volatility more effectively, ensuring our customers get the products they love while reducing inefficiencies across our operations."
White paper
Discover how AI that predicts, decides, and acts transforms commercial pricing from quote to cash.
White paper
Improve service levels while maximizing business value through intelligent trade-off analysis and predictive planning.
Blog
Why the enterprises winning today are the ones replacing fragmented, point-tool automation with a single adaptive orchestration layer.
Common questions about supply chain automation, including how RPA in supply chain fits alongside agentic AI and the future of supply chain automation.
Supply chain automation uses software to handle the planning, decision-making, and execution work across forecasting, inventory, pricing, procurement, and fulfillment. Modern supply chain automation combines robotic process automation (RPA) in supply chain with agentic AI that continuously predicts demand, optimizes decisions, and executes them in real time across the systems already in place.
Supply chain management automation runs on three layers. A prediction layer forecasts demand and price signals. A decision layer applies business rules, constraints, and guardrails to recommend the next best action. An execution layer connects to enterprise resource planning (ERP), customer relationship management (CRM), and configure-price-quote (CPQ) systems to act on those decisions, with human oversight on every exception.
The core supply chain automation use cases are demand forecasting and inventory planning, dynamic pricing and quote optimization, procurement and supplier onboarding, order processing and fulfillment, logistics and exception handling, and invoice and document automation. The UiPath Platform addresses all of these inside one governed orchestration layer rather than across separate point tools.
Traditional supply chain automation tools execute fixed, rules-driven steps. Agentic AI sits on top and reasons across signals (demand patterns, price elasticity, exception context), then chooses what to do next inside guardrails. UiPath combines both: deterministic robots for the rules-driven work and AI agents for the reasoning work, orchestrated by UiPath Maestro with human-in-the-loop oversight.
RPA in supply chain is the deterministic execution layer: software robots that move data between ERP, CRM, transportation management, warehouse management, and other supply chain systems. Agentic AI sits on top and handles the reasoning: adjudicating exceptions, optimizing replenishment, recommending price moves, summarizing the why. In the UiPath Platform the two run as one governed workflow rather than two separate tools.
No. UiPath is additive. It orchestrates across the supply chain systems already in place, including SAP, Oracle, Microsoft Dynamics, and major warehouse management and transportation management platforms. It updates records, reconciles data, generates audit trails, and routes exceptions to humans without rearchitecting the underlying systems of record.
Supply chain automation software orchestrates agents, robots, and people across supply chain workflows, typically layering on top of existing ERP, CRM, WMS, and CPQ systems rather than replacing them. UiPath is supply chain automation software with productized solutions for commercial pricing and inventory management, continuous regression testing, and governance (human-in-the-loop, audit trails, durable execution) built in.
The future of supply chain automation is agentic. Static, rules-only automation gives way to AI agents that continuously sense, decide, and act on supply and demand signals across the network, with humans in charge of judgment calls and the platform in charge of governance, durability, and audit.
