Deployment Overview - Current State¶

The asset management layer allows customers to enable sustainability centric planning, operation, and management of their complex physical assets.

Circular economy is an economic model in which resources are conserved and waste is minimized through the reuse and recycling of materials and products. Reverse logistics is a set of processes and activities related to the management of the return or reuse of products, materials, and resources.

The climate risk layer allows customers to identify, track, manage and mitigate climate-based risks [for example - temperature, humidity, precipitation, frost etc.]

A climate risk map is a visual representation of the potential risks and impacts of climate change on a particular region or area.

The Supply Chain Circularity Layer allows customers to minimize the costs and amount of carbon emissions generated by supply chain activities

Enable seamless and secure integration of diverse data sources and applications, facilitating the efficient sharing and synchronization of sustainability-related data across ecosystems to support informed decision-making and collaboration.

The integration services consumes information from the physical and ERP systems and will provide the interface to data and/or functionality of one or more sustainability applications.. This includes:

Application to identify and analyze the efficiency of assets within an asset management system. This may include identifying opportunities for improving the performance or efficiency of the asset, as well as identifying potential problems or inefficiencies that could impact its performance.

The Supply Chain Circularity Layer allows customers to minimize the costs and amount of carbon emissions generated by supply chain activities

Environmental data refers to information that is collected about the natural environment and its various components, such as air, water, soil, plants, etc. This data can be collected using various methods, including field observations, remote sensing, and laboratory analysis, and it can be used to understand and monitor the health and functioning of the environment.

data from erp will push to asset mgmt, facilities, and supply chain

The ESG platform layer allows customers to get deep visibility into environmental, human, and governance risks.

The facility management layer allows customers to enable sustainability-centric facilities management through various facility life cycle [acquire, build, manage, utilize, maintain and dispose of].

Geospatial analytics is the analysis of spatial data to understand and visualize patterns, trends, and relationships in a geographic context.

Green leases are leases for commercial or residential properties that include provisions related to environmental sustainability and energy efficiency. These provisions may require the tenant or property owner to take certain actions to reduce their environmental impact, such as using energy-efficient appliances or implementing water conservation measures.

The integration services consumes information from the physical and ERP systems and will provide the interface to data and/or functionality of one or more sustainability applications.. This includes:

Application for managing and maintaining assets that use data and analytics to predict when maintenance is needed. This approach is designed to optimize the maintenance schedule for an asset based on its actual condition, rather than following a predetermined schedule or reacting to failures.

Maximize the efficiency and sustainability of an organization's I.T. infrastructure and operations.

LLM is an advanced AI model trained on vast amounts of text data, capable of understanding, generating, and processing natural language to assist with complex tasks such as content generation, question answering, and data analysis.

Create, visualize, and simulate complex systems and architectures, ensuring alignment with requirements and facilitating early validation of designs to reduce development risks and improve product quality.

Sustainable sourcing and procurement refers to the processes and practices used to acquire goods and services in a way that is environmentally, socially, and economically responsible and sustainable over the long term.

The physical system is where the following data gets generated and stored. This includes:

Facilitates the comprehensive capture, organization, and traceability of stakeholder requirements, ensuring alignment with design and testing processes throughout the development lifecycle to enhance project outcomes and reduce risks.

Scope 3 GHG (greenhouse gas) reporting and performance refers to the measurement, reporting, and management of greenhouse gas emissions from sources that are not directly owned or controlled by an organization, but that are related to its activities.

The Supply Chain Circularity Layer allows customers to minimize the costs and amount of carbon emissions generated by supply chain activities

Designing and implementing computer systems and applications that are environmentally sustainable and minimize their impact on the planet.

It is the ability of an asset to operate effectively and efficiently over a long period of time without incurring excessive costs or causing negative impacts on the environment.

Sustainable projects aim to reduce environmental impacts, such as greenhouse gas emissions or resource consumption, or improve social and economic conditions by creating jobs or improving quality of life.

Sustainable sourcing and procurement refers to the processes and practices used to acquire goods and services in a way that is environmentally, socially, and economically responsible and sustainable over the long term.

Sustainable space refers to physical spaces, such as buildings, neighborhoods, or communities, that are designed and operated in a way that is environmentally, socially, and economically responsible and sustainable over the long term.

Provides comprehensive tools for planning, executing, and tracking software tests, ensuring quality and alignment with project requirements throughout the development lifecycle.

Automates and streamlines the flow of tasks, approvals, and processes across the engineering lifecycle, ensuring efficient collaboration, traceability, and adherence to project timelines and quality standards.