What is Cloud Neato’s Inventory Optimization?

Cloud Neato’s Inventory Optimization is an AI-powered solution that helps service organizations improve parts availability, reduce inventory costs, and automate replenishment across forward stocking locations by analyzing installed base, demand history, and configuration policies.

How does Cloud Neato recommend stock levels?

It uses Approved Stock Level (ASL) logic driven by your installed base, contract coverage, and historical demand to recommend optimal inventory levels at each location.

What is substitution and chaining logic in Cloud Neato?

Cloud Neato supports part substitutions using forward chaining, backward chaining, and alternate group policies to ensure continuity when primary parts are unavailable.

Can I simulate policy changes before going live?

Yes, Cloud Neato includes a simulation engine that models inventory performance, service levels, and cost impacts of configuration changes before deployment.

Who is Inventory Optimization designed for?

It’s designed for field service and service logistics teams managing critical spare parts across distributed networks, including OEMs and third-party service providers.

How do I get started with Cloud Neato?

You can request a demo or get started with implementation in under 30 days by leveraging Cloud Neato’s integrations with your existing logistics providers.

Inventory Optimization

AI-Powered Inventory Optimization for Service Parts

Reduce excess inventory, avoid stockouts, and improve On-Time Delivery (OTD) with a platform designed specifically for service supply chains.

Cloud Neato helps service organizations optimize spare parts inventory across global forward stocking locations (FSLs) by using installed base data, historical demand, and AI-driven forecasting to recommend Approved Stock Levels (ASLs) for each location.

These recommendations ensure you carry just the right amount of inventory—where and when you need it. Whether you operate with 10 sites or 1,000, Cloud Neato helps you standardize planning and reduce cost without compromising service.

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Part Chaining

Advanced Part Substitution and Chaining Logic

Legacy ERP systems and basic inventory tools struggle with part chaining. Cloud Neato supports complex substitution logic including both one-way and two-way replacements.

When an original part is out of stock, our intelligent chaining engine identifies eligible substitutes, applies business rules, and preserves service continuity—without requiring manual intervention. This reduces expedited shipping, increases fill rates, and improves service outcomes.

Simulate Before You Optimize

Cloud Neato’s built-in simulation engine lets you run what-if analysis to compare your current configuration against recommended changes.

Test policy updates, forecast adjustments, or stocking changes in a risk-free simulation environment. You’ll see the impact on inventory levels, service levels, and performance trends over time—before making a single change in production.

Simulations are especially powerful for evaluating decisions across multi-echelon networks, enabling smarter investments in spare parts inventory.

What is service parts inventory optimization?

Service parts inventory optimization is the process of determining the right parts, quantities, and locations to maintain inventory in support of service contracts. Cloud Neato uses AI to recommend stocking levels based on installed base, demand history, and substitution logic to reduce excess while improving service levels.

How does Cloud Neato recommend stocking levels?

Cloud Neato calculates Approved Stock Levels (ASL) by analyzing your installed base, historical demand, and service objectives. Recommendations are continuously updated based on performance, seasonality, and substitution patterns.

What is substitution and chaining in service parts?

Substitution and chaining refers to identifying alternate parts that can fulfill the same function as the original part. Cloud Neato supports multi-level part chaining so that you can automatically identify viable alternates when primary parts are out of stock.

Can I test Cloud Neato’s inventory optimization before going live?

Yes. Cloud Neato includes a simulation environment that allows you to compare your current configuration with system-generated recommendations. You can test changes, validate performance, and see the impact over time—before deploying to production.

How does Cloud Neato support continuous improvement?

Cloud Neato trends performance over time, so you can compare predicted vs. actual results, identify gaps, and proactively recommend changes to your stocking strategy as your network and service requirements evolve.