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STOCKWATCH

The Stockwatch logistics intelligence platform helps reduce fixed asset investment related to system maintenance while improving operational availability.

Stockwatch is a logistics intelligence solution for inventory optimisation (spare parts, tooling and consumable materials)

Supply chain diagnostics and scenario simulation in the maintenance of complex assets: aircraft, defence vehicles, rolling stock, wind turbines and critical infrastructure. It turns operational data into a digital twin of the integrated support structure, enabling quantitative, evidence-based decisions that balance availability, shortage risk and fixed-asset investment.

What Stockwatch delivers

Supply Chain Performance Diagnosis

Understand how current stock levels translate into availability, shortage risk, and downtime.

Optimised provisioning strategies & optimum stock levels

Recommendations aligned to user-defined objectives (availability targets, max investment, risk thresholds).

What-If simulations & sensitivity analyses

Quantify operational and economic impact of changes in lead times, reliability, fleet operation, and cost parameters.

Multi-Base stock balancing

Relocation planning across depots (including interchangeable part numbers) to correct over/under stock efficiently.

Life-Cycle Cost Analysys

Long term maintenance cost analysis to estimate total fleet operational expense for the maintenance inventories across the supply chain.

Core capabilities

  1. 01
    Optimisation Engine

    Stockwatch builds a supply chain digital twin and applies an integrated optimisation approach for multi-level maintenance logistics support structures, leveraging an algorithmic backbone aligned with these support structures.

  2. 02
    KPI-driven decision framework

    Stockwatch focuses on four critical operational KPIs

    • Material fixed-asset investment.
    • Operational availability.
    • Stock risk of shortage.
    • Mean-down-time.
  3. 03
    Visual master curves for strategic decisions

    Results are presented through Cost vs Efficiency master curves, linking operational performance (y-axis) to investment (x-axis) and enabling fast strategy selection and comparison against the current baseline.

Key modules

Stockwatch modules

  • Supply Chain Diagnosis

    Baseline assessment of current stock levels and their relationship to operational efficiency and fixed-asset investment.

  • Optimum Stock Levels & Provisioning Strategy

    Defines target stock levels and deltas vs current, at global level and by base/material reference, including:

    • Over-stock / shortage identification
    • Service level & risk-of-shortage outputs
    • Availability optimisation per base and overall network
Stockwatch modules detail

  • Simulation & What-If

    Simulate scenario changes and quantify deltas in both axes (investment/performance):

    • Supplier lead times
    • Acquisition cost
    • Reliability/consumption rate
    • System operation parameters

  • Includes

    • Future event simulation
    • Error amplification / sensitivity (to handle uncertainty in input data)
    • Contract clause definition (quantify criticality of supplier performance parameters)

  • Multi-Base Stock Management

    Creates a relocation plan between storage facilities to balance inventory using existing assets, explicitly supporting interchangeable part numbers.

Stockwatch dashboard overview

  • Stockwatch relies on operational data across three areas (network structure, inventory/material, and fleet/operation). "Must-have" examples include:

    • Network topology (warehouses, operating bases, interconnectivity).
    • Supplier lead times, current stock levels.
    • Material references, alternates, consumption rate/mean time between unscheduled removal (MTBUR).
    • Fleet size and fleet operation parameters.
Stockwatch analytics and reporting interface

  • If data is incomplete, Stockwatch supports hypotheses and safety-factor analyses to mitigate uncertainty.

    Automation & integration

    • ERP integration options to automate periodic data upload/download and operational reporting.
    • Option for real-time data feeds to produce dynamic results and support predictive maintenance contexts.
    • Combination with STOCKVIEW to enhance with AI predictions.

  • Typical use cases

    • Initial provisioning lists (IPLs) optimisation and strategy definition.
    • Inventory balancing across multi-warehouse, multi-fleet environments (including interchangeable parts), scaling to 50k+ part references.
    • "What-if" planning for changes in lead times, operational tempo, supplier performance, and reliability assumptions.

Logistics Intelligence Platforms

Stockwatch achieves an average improvement of these joint values for the specific KPIs.

0%

Investment Reduction

0%

Operational Availability Improvement

0%

Risk of Shortage Reduction

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We work with organisations operating and maintaining complex asset fleets in security- and availability-critical contexts, including aerospace, defence, railway, energy, industrial manufacturing and process industries.
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