Predict
Surface stockout risk, demand shifts, excess, obsolescence, supplier delays and critical-spares exposure before operations feel the impact.
Predict stock shortages. Reduce excess inventory. Make intelligent decisions across every site, warehouse, and asset - all from one AI-powered platform.
Built for asset-intensive enterprises
Most systems tell you where inventory sits. N4ASSET understands how the entire network behaves, and what should happen next.
Surface stockout risk, demand shifts, excess, obsolescence, supplier delays and critical-spares exposure before operations feel the impact.
Evaluate transfers, purchases, expedites, substitutions and holds across service level, timing, cost and confidence.
Turn insight into governed workflows, approvals, tasks and actions across procurement, warehouse, engineering and finance.
The agentic loop behind every recommendation
Move 240 units of SKU-40219 from DC-North → Plant-East. Prevents projected stockout. No new purchase order required.
Illustrative interface. Sample data shown for demonstration.
A role-aware control tower gives every stakeholder the same operating truth, without forcing teams to jump between disconnected applications.
Find available stock elsewhere in the network before you commit new external spend.
Expose trapped cash, carrying cost, write-off risk and redeployment opportunities.
Connect parts availability to maintenance, uptime and project-delivery risk.
Every recommendation shows its reasoning, confidence and human oversight.
The N4ASSET Data Hub connects internal and external sources, then cleanses, validates and standardizes the data before any model runs. It applies business rules, resolves exceptions and creates trusted features for AI and operational workflows.
Inventory, parts, assets, workflows and AI, unified into a single, governed operating layer.
Stock position, risk, inbound movement, demand, spend and next actions across the network.
Detect, reason, recommend, orchestrate and learn, moving from manual follow-up to governed action.
Balance shortage, excess, service levels, transport time, cost and working capital across sites.
Standardize descriptions, classifications, supplier identities, part relationships and asset hierarchies.
Connect parts to assets, engineering specs, criticality, maintenance and location context.
A shared operating truth for procurement, warehouse, engineering, supply chain and finance.
N4ASSET connects everyday inventory decisions to service levels, uptime and working capital.
A quick orientation to how N4ASSET fits your data, your systems and your people.
Most systems tell you where inventory sits. N4ASSET understands how the entire network behaves and what should happen next. It predicts risk, recommends the best action across service level, cost and timing, and orchestrates the governed response across teams.
No. The N4ASSET Data Hub connects internal and external sources, then validates quality and completeness, standardizes and classifies, and resolves exceptions, turning messy operational data into trusted, model-ready features as part of deployment.
N4ASSET is built around explainability, confidence thresholds and human oversight. Recommendations show why they were made; actions run through governed workflows and approvals so teams stay in control.
Prebuilt connectivity spans ERP, EAM, WMS, supplier, OEM, procurement, maintenance and external data sources, with APIs and governed outputs to downstream systems, dashboards and analytical environments.
Asset-intensive enterprises running complex inventory across many locations, such as mining, manufacturing, FMCG, banking, telecom, agriculture, energy and the public sector, where billions of parts and multiple warehouses need to behave as one network.
Schedule a tailored demonstration around your sites, parts, assets, warehouses and business outcomes.