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Manage the total cost of equipment and finance the transition

The Diagnosis Module

The Diagnosis module is for businesses that would like to view and manage their stock of energy-intensive equipment. It helps monitor the status of your inventory, including the assignment and movement of equipment within your stock, throughout the life cycle. In addition, it enables you to manage the equipment’s renewal or reclamation at end of life.

+ 385

diagnoses performed
on IT equipment
the tool
was created


of IT equipment


for renewing stock



Detect the major cost centres for your equipment stock and identify the energy consumption of each asset


Identify possible energy and financial savings from assets and equipment


Reduce the energy, environmental and social impact of your stock


Centralise data concerning your stock
using a dashboard boosted
with environmental data

  • Evaluate the CO2 of your stock
  • Measure the environmental and social impact of assets from origin to end of life (lifecycle analysis)
  • Calculate potential budgetary savings

Simulate total cost (costs inherent in equipment
such as maintenance, insurance, energy consumption,
white certificates, etc.) and satisfactory lifespans
depending on stock data and usage profiles

Suggestions for
optimisation drivers
(simulation of progress or

change scenarios) and action plans

  • Set up best practices and action plans for limiting the energy and budgetary impacts relating to the prospective replacement of assets
  • Full replacement of stock with assets with more efficient energy, carbon and budgetary impacts and reclamation of assets at end of life

Main features

Preparation of data necessary for the diagnosis

  • Automatically import data from stock using a database (Stock management module) and imported XLS, CSV files
  • Clean and select the scope of assets to be diagnosed and define the usage profiles
  • Configure other calculation factors (electricity cost, carbon indicator)

Mapping assets with the database

  • Reconciliation of specific assets with the CSR, Life cycle and Energy data
  • Estimation of this data and its relevance for other assets

Simulation of impacts and scenarios for progress or change

  • Generation of financial and environmental gains of these scenarios
  • Simple and intuitive visual representation of these impacts
  • Possibility to export the various analytic elements

Recommendation and action plan

  • Generation of best practices corresponding to the diagnosis
  • Option of accessing training and support

Additional modules