Intelligent inventory optimization
Optimize stock levels to reduce cost, improve availability, and free up working capital.
UiPath Solution for inventory management
Optimize inventory decisions across purchasing, production, and fulfillment
The UiPath Solution for Inventory Management
UiPath Solution for inventory management
Optimize inventory decisions across purchasing, production, and fulfillment.
Transform your approach to inventory management
The UiPath Solution for inventory management transforms how businesses approach inventory decisions across the supply chain. Reduce excess stock, lower working capital, improve fulfillment performance, and make faster decisions without increasing operational complexity.
See Inventory optimization in action
Inventory decisions that optimize service, stock, and capital
The UiPath Solution for inventory management predicts demand, balances inventory trade-offs, and executes purchasing and replenishment decisions automatically. The result is higher service levels, lower inventory costs, and a more resilient supply chain.
Autonomous purchasing
Agents communicate with suppliers and place orders within defined guardrails.
AI-powered replenishment
Automatically maintain optimal stock levels based on demand signals and inventory targets.
Optimized production
Balance production schedules, inventory positions, and service-level goals.
Predictive planning
Forecast demand and inventory requirements across changing market conditions.
Agile supply chain
Continuously adapt inventory operations to disruptions, volatility, and changing priorities.
How agentic inventory management works
The UiPath Solution for inventory management can forecast demand, optimize inventory positions, and execute purchasing and replenishment decisions across your supply chain.
Predict
AI forecasts demand patterns, safety stock requirements, and service-level risks across every SKU, location, and stage of your supply chain.
Demand forecasting across products and locations
Safety stock and service-level forecasting
Early identification of inventory and fulfillment risks
Decide
AI determines optimal inventory positions, reorder timing, and production schedules by balancing service levels, working capital, and operational constraints.
Inventory optimization across the network
Reorder timing and quantity recommendations
Production planning aligned to demand forecasts
Act
AI agents execute purchasing, replenishment, and supplier coordination workflows while maintaining inventory targets and managing exceptions within defined guardrails.
Autonomous purchasing and replenishment
Supplier communication and order management
Exception handling with human oversight
Predict
AI forecasts demand patterns, safety stock requirements, and service-level risks across every SKU, location, and stage of your supply chain.
Demand forecasting across products and locations
Safety stock and service-level forecasting
Early identification of inventory and fulfillment risks
Decide
AI determines optimal inventory positions, reorder timing, and production schedules by balancing service levels, working capital, and operational constraints.
Inventory optimization across the network
Reorder timing and quantity recommendations
Production planning aligned to demand forecasts
Act
AI agents execute purchasing, replenishment, and supplier coordination workflows while maintaining inventory targets and managing exceptions within defined guardrails.
Autonomous purchasing and replenishment
Supplier communication and order management
Exception handling with human oversight
Autopilot
A conversational AI assistant that uses knowledge bases, custom actions, and visualizations to automate tasks for business users, developers, and beyond.
Personalized agentic homepage
A personalized homepage that highlights the most important agentic exception management tasks and provides smart agent suggestions and insights.
Canvas
User-specific experiences that deliver tailored insights, reports, and operational interfaces for each role.
Agentic actions
AI-driven guidance on the next best steps, using agents to help people make smarter, faster inventory decisions.
Explore the UiPath Platform
Every UiPath Solution is built on the same platform that orchestrates agents, robots, and people across your business.
WHITE PAPER
The introductory guide to agentic AI for inventory management
How agentic AI helps businesses build smarter, more resilient supply chains, with AI that predicts, decides, and acts inside governed guardrails.
Automated inventory management FAQs
Automated inventory management is the use of software to handle the data, decisions, and execution that keep inventory in balance: forecasting demand, setting safety stock and reorder points, generating purchase orders, reconciling stock across systems, and managing supplier exceptions. Modern automated inventory management combines robotic process automation that runs deterministic steps across inventory and ERP systems with agentic AI that reasons inside guardrails on forecasts, exceptions, and trade-offs. Humans stay in charge of decisions that fall outside policy.
Many inventory management systems include automation features inside the product: reorder rules, safety stock recalculations, low-stock alerts. Those features handle work within one system. Inventory automation across your systems is a different category. It orchestrates work across the IMS, the ERP, the supplier portal, and the warehouse management system, so that a single process can pull data from one, decide in another, and execute in a third without manual handoffs. UiPath sits in that second category.
Common candidates include demand forecasting and safety stock optimization, purchase order generation and supplier confirmation, three-way matching, stock reconciliation across IMS and ERP, supplier onboarding and document extraction, exception handling for low-confidence cases, and returns processing. Agentic AI extends the list to inventory inquiry automation, supplier exception reasoning, and scenario simulation for demand shocks.
Rule-based automation handles the predictable steps. Agentic AI handles the decisions that used to require a person, inside policy and with full audit documentation. Forecasting agents reason over demand signals and external data. Optimization agents recommend stocking positions. Reorder agents place and adjust purchase orders. The UiPath AI Trust Layer governs every agent decision and routes anything outside defined boundaries to a person.
An automated inventory management system reduces working capital tied up in excess stock, lowers stockouts that cost sales, and removes the manual reconciliation work that drains planner time. It also strengthens audit and compliance readiness because every decision is logged and traceable. Enterprises that run inventory automation across multiple systems gain visibility that no single IMS can offer on its own.
Small businesses typically start with the automation features built into their inventory management system: reorder rules, low-stock alerts, basic forecasting. Those features are sufficient until inventory work spans multiple systems, suppliers, or locations. At that point, an orchestration layer above the IMS handles cross-system work that the IMS alone cannot. UiPath is generally deployed by enterprises and mid-market organizations with that cross-system complexity.