Terrascope

What do you like best about the product?

I like Terrascope's ability to correlate carbon intensity with operational KPIs like yield rate, energy efficiency, and downtime. It decomposes emission into energy mix, which helps me identify whether carbon increases stem from fuel sources. This feature allows me to target engineering interventions rather than generic sustainability initiatives and links emissions directly to efficiency drivers. It reveals if changes are increasing carbon impacts, enabling precise operational optimization.

What do you dislike about the product?

I would like to see improvement in deeper integration with IoT tools, also automated alerts tied to energy intensity thresholds could be more helpful, and there should be predictive analysis tool for forecasting and maintenance. Due to its steep learning curve we faced issues to learn them, but customer support team was there to help us out.

What problems is the product solving and how is that benefiting you?

I use Terrascope to monitor emissions and integrate data, solving the complexity of converting operational data to standardized carbon metrics. It helps address inconsistencies in manual emission calculations and reveals operational optimization opportunities by linking emissions directly to efficiency drivers.

What do you like best about the product?

I really appreciate Terrascope's structured calculation engine combined with traceability. The consistency of outputs enables me to scale integration into BI tools, financial systems, and risk models without having to rebuild transformation logic each reporting cycle. The structured data architecture standardizes fragmented inputs, automates emission factor matching, and ensures traceable, audit-ready outputs. This makes my work with carbon intelligence consistent, scalable, and decision-driven.

What do you dislike about the product?

I would like to see improvement in deeper customization of transformation rules and enhanced real-time data ingestion capabilities. Also, broader interoperability with enterprise risk management and financial planning systems would enhance cross-functional automation.

What problems is the product solving and how is that benefiting you?

Terrascope solves the problem of methodological inconsistency and data fragmentation, standardizes emission factor management, and aligns categorization with GHG protocols.

What do you like best about the product?

I find Terrascope extremely helpful in standardizing carbon measurement across various sectors and geographies, allowing me to compare emissions performance using normalized benchmarks. The platform addresses the issue of consistency across companies that use different tools, assumptions, and emission factors by standardizing scope 1, 2, and 3 calculations, which significantly reduces reporting friction. I appreciate that it helps me quantify transition risks and identify operational decarbonization opportunities. By analyzing carbon intensity and emissions drivers at a granular level, I can identify which assets are lagging or leading in decarbonization, enabling me to test investment cases like installing on-site solar or redesigning supply chains. Terrascope's focus on efficiency and causality, along with its ability to normalize performance for fair comparisons and to isolate operational variables, allows for targeted high-impact interventions to optimize both cost structure and carbon performance.

What do you dislike about the product?

I found the initial setup quite challenging due to its steep learning curve, which took some time to adapt to. Also, I don't see any downside, but I would love if there could be a financial modeling tool that would enhance climate value correlation analysis.

What problems is the product solving and how is that benefiting you?

I use Terrascope to standardize carbon measurement, reducing reporting friction. It helps compare emissions across portfolio assets, quantify transition risks, and identify decarbonization opportunities. It also supports targeted interventions by normalizing performance and isolating operational variables.

What do you like best about the product?

I use Terrascope as a central system for enterprise-wide carbon accounting and decarbonization tracking. I rely on its AI-driven categorization, a much-needed feature for me. It serves as a backbone for both operational emissions tracking and strategic planning. What I really appreciate is the combination of granularity and scenario capability. I can drill down from total corporate emissions to specific suppliers and simulate forward-looking decarbonization pathways. The granularity provides emission visibility at the supplier and even SKU or route level, enabling targeted interventions. Granular data also improves accountability, while scenario capability adds forward-looking intelligence. Additionally, the initial setup was easy, especially with a team always available to address our queries.

What do you dislike about the product?

I want improvement in the automated benchmarking against industry peers and enhanced collaboration features for supplier engagement would improve decarbonization acceleration.

What problems is the product solving and how is that benefiting you?

I use Terrascope for enterprise-wide carbon accounting and decarbonization tracking. It consolidates carbon data across departments and geographies, automates emission factor matching, and bridges the gap between strategy and execution by providing measurable KPIs.

What do you like best about the product?

I really like its ability to analyze carbon intensity alongside traditional supply chain KPIs such as cost per shipment, service level, and lead time. Now with Terrascope, I can directly compare trade-offs between speed, cost and carbon. The hotspot visualization across routes and distribution centers enables me to improve load factors, redesign warehouse allocation, or adjust safety stock locations to minimize transport distance.

What do you dislike about the product?

I like to see improvement in automated alerts for carbon intensity deviations similar to cost or delay alerts that would support faster corrective actions. Also, advanced predictive analytics incorporating should be there. The initial setup was easy to moderately tough for us, we have taken time to adopt its steep learning curve.

What problems is the product solving and how is that benefiting you?

I use Terrascope to connect operational data to carbon metrics, standardize disparate data sources, and analyze carbon intensity alongside traditional KPIs. It helps improve logistics efficiency by visualizing hotspots across routes, allowing adjustments for minimized transport distances.