Platform - StoXeo

The StoXeo platform

StoXeo connects what a material is and the risk of not having it, how it is consumed, where it comes from, how much to stock, what to do and when, and how well it is working. Maintenance context runs through every layer.

1. What is it, and what if we don’t have it?

Material Intelligence

What is it, and what is the risk of not having it? Classification, enrichment, relationships and data quality.

Classification & enrichment

UNSPSC-based taxonomy, attribute templates, research and standard descriptions.

Duplicate detection

Find the same physical spare under different material numbers, and the stock behind it.

Alternatives & supersessions

Alternatives, substitutes, supersessions, equipment links and supplier part numbers.

Data quality score

Measure material data completeness, and show how it affects each recommendation.

2. How do we best understand consumption?

Demand Intelligence

How do we best understand consumption? End-user know-how, forecasting, demand uncertainty and collaborative planning.

Demand classification

Smooth, erratic, intermittent or lumpy, by movement class and criticality.

Demand forecasting

Best-fit forecast competition with back-testing, including TSB for intermittent demand.

Maintenance-driven demand

Derive spares demand from maintenance plans, BOMs and installed base.

Collaborative demand planning

Measure material data completeness, and show how it affects each recommendation.

Demand events

History correction, outlier rules and regular or irregular events.

3. Where does it come from?

Supply & Spend Intelligence

Where does it come from? Supplier collaboration, supply monitoring, automated expediting, lead times and spend.

Supplier expediting

Risk-based selection of orders to chase, with automated supplier requests.

Lead times & suppliers

Lead-time review, supplier tasks, repair status and supply order management.

Spend analysis

Spend by UNSPSC commodity, price variance, supplier concentration and emergency buys.

Container load optimisation

Fill-level evaluation, best-fit bin packing and automated load planning.

4. How much should we stock?

Inventory Intelligence

How much should we stock? Stocking decisions, policy, rotables and multi-site stock.

Stocking decisions

Non-stock, stocked, plant-critical spare, rotable pool, consignment or supplier-held.

Inventory policy

Transparent policy calculations, profiles and bands, tested in simulation.

Replenishment

Time-phased requirements and recommended orders, reviewed and approved by planners.

Rotables & repairables

Pool sizing, repair-cycle tracking and exchange scenario simulation.

Multi-site inventory

Network-wide stock visibility, shared spares and transfers.

5. What should we do, and when?

Decision Intelligence

What should we do, and when? Decisions at ordering, and when driving parameters move out of tolerance.

Parameter monitoring

Alerts when lead time, demand, supply risk or movement class move out of tolerance.

Understandable logic

Every recommendation shows its inputs, rules and reasons.

Exceptions & workflow

One exception engine, approval workflows and a full audit trail.

6. How are we performing?

Performance & Improvement

How are we performing? Performance review, continuous improvement and automation of established trends.

KPIS & dashboards

Measure whether processes are followed, and whether they deliver the results you need.