Inventory Management & Optimization Software Demo
AI-Driven Inventory Optimization Across the Enterprise
In this personalized Inventory Optimization demo, you’ll see how organizations across defense, manufacturing, logistics, and infrastructure-heavy industries eliminate stockouts, reduce excess inventory, and improve service levels—without increasing working capital or operational risk.
1. End-to-End, Multi-Echelon Visibility
✔ Single view across demand, supply, inventory, and execution
✔ SKU-location intelligence across plants, depots, warehouses, and suppliers
✔ Real-time inventory health, shortages, and excess risk
✔ Built for highly complex, regulated environments
2. AI Inventory Forecasting & Demand Sensing
✔ SKU-location level forecasts
✔ Detect volatility, disruptions, and shifts early
✔ Predict shortages before they happen
✔ Continuously adapt safety stock targets
3. Intelligent Replenishment That Protects Service
✔ Prioritized recommendations based on business impact
✔ Dynamic buffers instead of static rules
✔ Improve OTIF while lowering inventory
✔ Focus planners on what truly matters today
4. Measurable Working Capital Reduction
✔ 30–50% inventory reduction potential
✔ Lower carrying & obsolescence cost
✔ Reduce expediting & emergency buys
✔ Free up millions in trapped cash
5. Scenario Simulation Before You Act
✔ Test demand spikes & supplier delays
✔ Compare policies & replenishment strategies
✔ Understand service & financial impact
✔ Make risk-aware decisions
Why Companies Request This Demo
Most leaders come to us because they struggle with:
- Too much inventory but still frequent shortages
- ERP/MRP outputs that lack prioritization
- Planners overwhelmed by thousands of SKUs
- No way to evaluate risk before execution
- Pressure to reduce working capital fast
This demo shows how AI fixes these issues without replacing your existing systems.
Who Typically Attends
Executives: COOs, CFOs, CIOs
Supply Chain Leaders: inventory, demand, replenishment
Operations: plant, warehouse, logistics and etc.
Transformation teams: digital, analytics, excellence groups
Watch in Action
How ThroughPut.AI Optimizes Inventory Across Industries
What Our Customers Say
Step 1
Build a Unified Inventory Operating Picture
- Unifies demand, inventory, supply, and execution data
- Provides real-time visibility across all nodes and echelons
- Creates a single source of truth for inventory decisions
- Supports regulated, mission-critical environments
Step 2
AI-Based Inventory Prioritization
- Prioritizes SKUs based on demand volatility and service impact
- Accounts for lead times, supply risk, and operational constraints
- Incorporates location- and industry-specific demand patterns
- Enables granular, SKU–location level optimization
Step 3
Predict, Optimize, and Act
- Predicts demand shifts and inventory risks early
- Recommends optimized replenishment and buffer targets
- Improves service levels, readiness, and asset availability
- Reduces short- and long-term working capital exposure
Industry We Support
What Our Customers Say
Military & Defense
✔ Ensure mission readiness with timely parts replenishment
✔ Optimize material flow across bases and depots
✔ Detect bottlenecks faster to accelerate decisions
Food & Beverage (F&B)
✔ Meet demand on time with AI forecasts
✔ Optimize procurement and distribution
✔ Reduce stockouts and waste
Ports
✔ Real-time container & terminal visibility
✔ Optimize ship-to-shore operations
✔ Detect bottlenecks fast
Cement & Building Materials
✔ Maximize yard throughput
✔ Optimize material flow
✔ Reduce supply chain costs
Logistics & Transportation
✔ Optimize fleet operations
✔ Reduce delays & costs
✔ Accelerate material flow
Automotive
✔ Reduce downtime and scrap
✔ Optimize material flow across plants
✔ Detect risks early and act fast
Manufacturing
✔ Maximize production output and inventory turns
✔ Align operations with accurate capacity planning
✔ Reduce defects and downtime
Retail & Supermarket
✔ Predict demand and optimize replenishment
✔ Improve shelf availability and reduce overstocks
✔ Gain real-time supply chain visibility
Frequently Asked Questions (FAQ)
How is ThroughPut.AI different from traditional inventory management tools?
Traditional systems generate plans based on fixed rules and batch calculations.
ThroughPut applies AI to continuously prioritize SKUs and locations based on service risk, financial impact, and operational constraints.
How quickly can we see results after implementation?
Most organizations begin identifying excess inventory, stockout risks, and service improvement opportunities within weeks. Measurable financial and operational impact typically appears within the first few months depending on data availability and deployment scope.
Does ThroughPut replace our ERP or planning systems?
No. ThroughPut.AI integrates with your existing ERP, WMS, APS, or data environment. It acts as an intelligence layer that enhances decision-making and provides optimized recommendations without disrupting current systems.
Can the platform handle multi-echelon and complex supply networks?
Yes. ThroughPut is purpose-built for complex, multi-location operations including plants, warehouses, depots, suppliers, and distribution nodes. It optimizes inventory across the entire network rather than in silos.
How does ThroughPut reduce inventory without increasing risk?
The AI continuously balances service levels, lead times, variability, and criticality. This allows organizations to remove excess buffers where risk is low while protecting availability where impact is high.
What kind of inventory reduction can companies expect?
Many organizations achieve 30–50% reduction in excess inventory, along with improved service levels and fewer expedites. Results vary by industry, data maturity, and process alignment.
Does ThroughPut support demand sensing and short-term volatility?
Yes. The system incorporates near real-time signals and operational changes to adjust forecasts and replenishment dynamically, which is critical for industries with frequent demand swings.
Who typically uses the platform inside the organization?
Executives use it for working capital and service visibility, planners use it for forecasting and replenishment decisions, and operations teams use it to anticipate disruptions and act earlier.
Can we simulate scenarios before making decisions?
Absolutely. Users can model demand spikes, supply delays, and policy changes to understand service and financial outcomes before execution.
Is ThroughPut suitable for regulated or mission-critical environments?
Yes. The platform is widely used in defense, infrastructure, and asset-intensive industries where readiness, traceability, and reliability are essential.
What data is required to get started?
Typical inputs include demand history, inventory positions, lead times, supply data, and service objectives. During the demo, we show how this data is connected into a unified operating picture.
What happens during the demo?
We tailor the session to your industry, current challenges, and KPIs. You’ll see how AI identifies risks, recommends actions, and drives measurable improvements in service, cost, and working capital.