What happens if a key supplier fails?

Our risk model identifies alternate suppliers and recommends increasing safety stock for critical items from high-risk vendors.

Can this integrate with our current ERP inventory system?

Yes. We read live inventory data and write replenishment signals directly to your ERP or purchasing system via standard APIs.

How do you handle obsolete components from design changes?

We track bill-of-materials changes and flag inventory that will become obsolete, recommending liquidation timing to recover the most value.

What if we have thousands of SKUs across multiple locations?

We handle multi-thousand SKU networks by segmenting SKUs by demand variability, supplier risk, and location, then optimizing each segment independently.

How long does it take to see working capital improvement?

Most clients see measurable reductions in excess stock within 6-8 weeks as the system identifies overstock opportunities and right-sizes safety buffers.

Manufacturing Analytics

Dynamic Inventory Analytics & Optimization Built to Free Up Working Capital

Reducing dead stock, minimizing carrying costs, and preventing stockouts with AI-driven inventory health monitoring, dynamic safety stock, and automated ordering.

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Smart Stock

Inventory is working capital sitting still. Too much trapped on the shelf locks up cash and breeds obsolescence. Too little and production stops the moment a part runs out. We use AI to hold stock at the leanest level your operation can sustain, freeing up capital without putting a single shift at risk.

The Old Way

Stock Bloat

The Intelegencia Way

AI Inventory

High Carrying Costs

Lean Stock Levels

Obsolete Inventory

Just-in-Time Accuracy

Frequent Stockouts

Zero-Wait Production

Manual Re-ordering

Automated Procurement

Zero Visibility

Real-Time Health Metrics

Multi-Echelon Optimization

We optimize stock levels across your entire network, from supplier hubs to regional warehouses and shop-floor bins. Our algorithms balance competing forces: keeping enough safety stock to prevent stockouts while minimizing carrying costs and obsolescence risk. We use demand-driven replenishment to replace age-old fixed reorder points. The result is a lean, responsive supply chain that adapts to real demand signals.

Safety Stock Calibration

Lead-Time Variance Analysis

ABC/XYZ Classification

Economic Order Quantity (EOQ)

Dead-Stock Detection

Demand-Driven Replenishment

Static re-order points waste millions in dead stock. We connect your inventory system directly to production forecasts and sales pipelines, so orders are placed only when genuine demand signals appear. Our system learns lead-time variability from your specific suppliers and builds safety stock dynamically, based on actual volatility rather than guesswork. We eliminate guessing and replace it with predictive ordering.

Forecast-Driven Ordering

Supplier Lead-Time Learning

Dynamic Safety Stock

Seasonal Ramp Detection

Multi-Location Demand Pooling

Dead-Stock Detection & Liquidation

Obsolete inventory is a cash killer. Our anomaly detection identifies SKUs that haven't moved in months and flags them for immediate action: aggressive discount, donation, or scrap. We track part obsolescence risk (new versions, design changes, end-of-life announcements) and recommend liquidation timing to maximize recovery. Dead stock becomes cash again.

Slow-Moving SKU Detection

Aging Analysis

Obsolescence Risk Scoring

Liquidation Path Recommendation

Scrap Value Recovery

The Cash-Flow Core

Inventory Stack

Multi-echelon optimization, demand-driven replenishment, dead-stock detection, and warehouse rebalancing working together to free working capital while preventing stockouts.

Predictive Ordering

Automated re-buys based on future demand, not past averages.

Vendor Scorecards

Tracking who delivers on time and who causes stockouts.

Risk Modeling

Identifying parts at risk of global supply shortages.

Warehouse Flow

Optimizing the physical movement of stock.

Multi-Warehouse Balancing

Having stock is worthless if it's in the wrong warehouse. Our network optimization continuously rebalances inventory across your sites based on demand location, holding costs, and shipping times. When a regional surge hits, the system stages stock to the closest hub before orders pile up. We turn a fragmented warehouse network into a single, unified buffer.

Geographic Demand Forecasting

Inventory Positioning Optimization

Hub-and-Spoke Network Design

Intra-Network Replenishment Logic

Transportation Cost Balancing

The Path to Lean

Our Inventory Roadmap

Five steps that free working capital by moving from static reorder points to demand-driven replenishment, covering data cleansing, demand signal integration, optimal stock calibration, automated procurement setup, and performance monitoring.

Data Cleanse

Fixing inaccurate stock records and lead times.

Demand Mapping

Connecting stock levels to production schedules.

Policy Build

Defining new 'Optimal Stock' levels per item.

Auto-Order Setup

Connecting the AI to your procurement system.

Performance Track

Monitoring stockout rates and capital savings.

Measured Performance. Proven Growth.

Working Capital

Stockout Rate

Inventory Turns

Carrying Cost

Frequently Asked Questions
About Dynamic Inventory Analytics & Optimization

Here you will find answers to questions we get asked the most about our offerings.

The AI integrates marketing calendars and historical seasonality to build up stock *before* the surge happens.