AI-Native MRP Platform

AI-Native Material Resource Planning for Modern Manufacturing

Plan production, forecast demand, and automate material procurement with Likwid's AI-powered MRP engine. Built for the real complexity of manufacturing and distribution operations.

94%
Forecast Accuracy
60%
Reduction in Stockouts
3x
Faster Planning Cycles
See How It Works Request Demo
Rethinking MRP from the ground up

What is AI-Native MRP?

Traditional MRP systems were designed for a world of predictable demand and stable supply chains. They rely on static planning rules, manual parameter updates, and periodic batch runs that produce plans already out of date by the time they are executed.

Likwid's AI-Native MRP changes the paradigm entirely. Instead of static rules, the planning engine continuously learns from real-time demand signals, production outcomes, procurement performance, and inventory movements. Every planning decision is informed by live data and machine learning models that adapt as your business changes.

The result is a planning system that dynamically balances material availability, production capacity, supplier lead times, and customer demand — automatically, continuously, and with measurably better outcomes than any static MRP system can achieve.

Traditional MRP
Static rules, batch runs, manual updates, reactive planning
Likwid AI MRP
Dynamic AI models, real-time data, continuous learning, proactive planning

AI Planning Engine

Continuously learning and adapting

Real-time demand signal processing Live
ML-powered demand forecasting Active
Dynamic procurement automation Running
Capacity constraint optimization Active
Continuous model retraining Learning
Core Capabilities

Everything your planning operation needs

Six integrated AI capabilities that transform how you plan, procure, and produce.

AI Demand Forecasting dashboard

AI Demand Forecasting

Predict SKU-level demand using machine learning models trained on historical sales, seasonality patterns, promotions, and external signals. Accuracy improves continuously as the model learns from your data.

SKU-level precision • Auto-updating models
Dynamic Production Planning dashboard

Dynamic Production Planning

Automatically schedule production orders based on real-time resource availability, machine capacity, workforce constraints, and demand priorities. Plans update instantly when conditions change.

Real-time scheduling • Capacity-aware
Intelligent Material Procurement dashboard

Intelligent Material Procurement

Automatically generate purchase requirements based on demand forecasts, current inventory positions, BOM structures, and supplier lead times. Eliminate manual purchase order creation and planning errors.

Auto PO generation • BOM-integrated
BOM-Aware Planning dashboard

BOM-Aware Planning

Understand complex multi-level bill-of-material structures and production dependencies. The AI engine traverses BOM trees to calculate raw material requirements across every finished good and sub-assembly.

Multi-level BOM • Dependency mapping
Inventory Optimization dashboard

Inventory Optimization

Prevent stockouts and overstock situations using predictive planning that dynamically calculates optimal safety stock levels, reorder points, and replenishment quantities for every item in your catalog.

Dynamic safety stock • Working capital reduction

Supplier Lead-Time Intelligence

Incorporate actual supplier performance data and dynamic lead time estimates into every planning decision. The system tracks on-time delivery, variability, and reliability to adjust planning buffers automatically.

Actual vs planned • Variability-aware
Three-Step Workflow

How Likwid AI MRP Works

From raw data to automated execution in three intelligent steps.

1
Step One

Data Ingestion

Likwid ERP connects to your existing data sources and imports bills of materials, current inventory positions, open sales orders, historical demand data, and production records. Integrations with ERP, WMS, and supplier portals ensure data stays current automatically.

BOM and inventory data
Demand and sales history
Production and supplier data
2
Step Two

AI Planning Engine

The core AI engine analyzes demand patterns, runs multi-horizon forecasting models, evaluates production capacity constraints, maps BOM dependencies, and incorporates supplier lead time variability. Machine learning models trained on your historical data drive every planning recommendation.

Demand pattern analysis
Capacity constraint modeling
Lead time and risk analysis
3
Step Three

Execution Automation

Planning outputs are translated into actionable execution: production orders are generated and scheduled, purchase requisitions are raised and sent to suppliers, replenishment transfers are triggered, and planners are alerted to exceptions requiring human judgment.

Auto production order creation
Procurement action generation
Replenishment scheduling

Manufacturing Complexity Handled

Multi-Level BOMs
Full traversal of complex bill-of-material trees with unlimited nesting depth and phantom assemblies
Production Dependencies
Sequencing and dependency management ensuring upstream operations complete before downstream processes begin
Supplier Lead Times
Dynamic lead time tracking with variability modeling and risk-adjusted planning buffers per supplier and item
Batch Production
Optimal batch sizing based on setup costs, minimum run quantities, shelf life, and production efficiency constraints
Demand Variability
Probabilistic demand modeling that accounts for seasonality, trend shifts, new product introductions, and demand shocks
Designed for real operations

Built for Manufacturing Complexity

Manufacturing operations are not simple. Real production environments involve hundreds of finished goods, thousands of components, multiple levels of assembly, and supplier networks that span continents. Generic planning tools cannot handle this complexity without extensive manual intervention.

Likwid ERP was purpose-built for this reality. The AI planning engine understands the structural complexity of manufacturing data — BOMs, routings, work centers, supplier relationships, and demand hierarchies — and uses that understanding to generate plans that are actually executable, not just mathematically optimal on paper.

10k+
SKUs per plan
15+
BOM levels supported
500+
Supplier integrations
Sub-hr
Plan generation time
Measurable Impact

Key Benefits for Your Operation

AI-Native MRP delivers quantifiable improvements across your entire manufacturing and distribution operation.

Reduce Stockouts

Proactive demand forecasting and intelligent replenishment eliminate material shortages that halt production and disappoint customers.

Lower Working Capital

Optimized inventory levels reduce excess stock and release cash trapped in raw materials, WIP, and finished goods.

Improve Production Scheduling

AI-driven scheduling maximizes throughput, reduces changeover waste, and ensures material availability before production begins.

Automate Procurement Decisions

Eliminate manual purchase order creation and planning spreadsheets. Let the AI handle routine procurement while planners focus on exceptions.

Increase Supply Chain Visibility

Real-time dashboards and exception alerts give planners complete visibility into material flow, production status, and supply risks across your entire network.

Accelerate Planning Cycles

Reduce planning cycle time from days to hours. AI generates updated plans continuously, enabling faster response to demand changes and supply disruptions.

60%
Reduction in stockout events
25%
Lower inventory holding costs
80%
Less manual planning work
3x
Faster planning cycle time
The AI Advantage

A Planning Engine That Continuously Learns

Most software vendors apply AI as a layer on top of existing rule-based systems. Likwid's MRP was designed AI-native from day one. The planning engine is not a rules engine with machine learning features added on — it is a machine learning system with planning logic built in.

Every production run, every procurement order, every demand signal, and every inventory movement becomes training data that improves the AI models. Forecast accuracy improves over time. Procurement recommendations become more precise. Production plans become more achievable. The system gets smarter the more you use it.

Continuous Model Retraining
Models retrain automatically as new production, procurement, and demand data flows into the system
Historical Performance Learning
Past production outcomes, supplier performance, and demand actuals improve future planning accuracy
Real-Time Decisioning
Plans update instantly when demand, inventory, capacity, or lead times change — no batch runs required
Explore AI-Native MRP

Dive deeper into how Likwid's AI engine modernizes planning, procurement, and production execution.

View AI-Native MRP
Talk to our team

See Likwid AI MRP in action

Request a tailored demo to understand how AI-Native planning can reduce stockouts, improve schedule adherence, and cut working capital.

Live walkthrough of planning workflows
Use-case fit assessment for your operation
Integration and implementation overview

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