IBM Sustainability Software - Ideas Portal
This portal is to open public enhancement requests against the products and services belonging to IBM Sustainability Software. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
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We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
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Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,
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Post an idea.
Get feedback from the IBM team and other customers to refine your idea.
Follow the idea through the IBM Ideas process.
Specific links you will want to bookmark for future use
Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.
IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.
ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.
Hi @Deepti Shetty ,
We see strong value in benchmarking, especially to help partners guide performance and planning, but privacy and data integrity must come first. Our current focus is on high-level, anonymised comparisons across a partner’s own portfolio, not using external datasets.
Example metrics could include:
CO2e intensity (e.g. per m² or per FTE)
Energy intensity (kWh per m², grouped by asset type)
Renewable energy share (%)
Year-on-year reduction trends
Comparisons within industry, by building type
A key challenge is comparing like-for-like. Differences in building size, occupancy, usage patterns, and climate can distort results if not normalised correctly and depending on data completeness/accuracy.
Data quality and completeness will also vary, so early benchmarking may need to stay high-level with clear caveats. For example, normalising by m² or occupancy helps avoid unfair comparisons such as a 100-person office vs a 1000-person office with very different HVAC demands.
We’re keen to understand specific use cases this would support (for example target validation, reporting, or advisory services). Please share any supplementary information if available so it can inform requirements as this evolves. If not available now, we can reach out to some partners when the requirements for this come in focus