Data-Driven Reduction Strategies

Steer your global decarbonization efficiently

Global supply chains require a holistic approach to reach net-zero. shipzero provides the maximum data quality your controlling teams need to steer efficiently, identifying hot spots and modeling scenarios to bridge the gap between your current Scope 3 emissions and your target state.

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Table showing reduction potential in CO2e for shippers and two routes with distance, intensity, CO2e, and reduction potential highlighting the greenest route and a 46% decrease indicator.

Used by leading companies

Strategic Control

Key Benefits of Data-Driven Reduction Strategies

Analyze Global Hot Spots

Approach holistic analysis for global supply chains to identify emission hot spots and enable efficient steering by controlling teams.

Determine Strategic Gaps

Define your Scope 3 decarbonization strategy and determine the precise gaps to your target state per business unit and geography.

Model Future Scenarios

Model top-down and bottom-up scenarios to assess how measures meet reduction goals and confirm potential with business units.

Plan Targets by Lane

Break down top-down goals into trade lanes and follow up bottom-up to verify what is achievable in specific markets.

“Thanks to shipzero’s profound data granularity approach and focus on primary data integration, our data accuracy improves significantly – we are gaining a full overview of transport emissions within our supply chain.”

Bernard Magin
Project Manager Logistics (Sustainability)
Bernard Magin
Project Manager Logistics (Sustainability)

Turn Climate Ambition into Actionable Strategy

Table showing CO2e reduction potential in kilograms and percentages with corresponding CO2e in kg values and threshold markers, alongside a graph of emission intensity CO2e at 38.1 g/tkm showing a -28.3% change in the current period.

Efficient Steering

Identify Emission Hot Spots

Effective controlling requires high-quality data. We strive for a holistic analysis of your global supply chain, delivering the maximum data quality needed to identify emission hot spots. This allows your controlling department to steer efficiently, focusing resources on the areas with the highest reduction potential.

  • Goal: holistic global analysis
  • Maximum data quality
  • Efficient hot spot steering
Dashboard with six different types of charts including a highlighted line graph labeled Gap Analysis.

Strategic Clarity

Determine Gaps to Target

Know exactly where you stand. We help you define your Scope 3 decarbonization strategy and determine the precise gaps to your target state. This analysis is granular, broken down per business unit and per geography, ensuring that every part of your organization understands its specific contribution.

  • Scope 3 strategy definition
  • Gap analysis to target state
  • Per business unit & geography
Bar chart showing Electrical category with values 28,960, 0.5, and 8.4, and a Rail legend, with a 75% decrease indicator.

Scenario Analysis

Model Reduction Scenarios

Validate your path to net-zero. Model top-down and bottom-up decarbonization scenarios to assess how specific measures meet your reduction goals. This allows you to confirm the potential of initiatives with relevant business units and procurement teams before implementation.

  • Top-down & bottom-up models
  • Assess measure effectiveness
  • Confirm potential with stakeholders
Map showing a shipping route from Gonesse, United Kingdom, to Gingee, India with a table comparing two routes' distance in km, intensity in g/tkm, CO2e in kg, and reduction potential in kg CO2e indicating a 46% reduction with the greener, shorter route.

Granular Planning

Plan Targets by Trade Lane

Translate goals into reality. Break down your top-down decarbonization goals into specific trade lanes. Then, follow up bottom-up to verify what can actually be achieved in specific markets, considering specific transport modes and propulsion types.

  • Break down goals to trade lanes
  • Bottom-up market verification
  • Mode & propulsion specifics

Learn more about Data-Driven Reduction Strategies

shipzero empowers cargo owners to turn high-level climate goals into actionable, data-driven strategies. We help you model scenarios, identify gaps, and steer your global supply chain toward net-zero with precision and confidence.

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FAQs

Do you have questions about implementing Data-driven Reduction Strategies as a cargo owner? We've compiled answers to common inquiries based on our experience helping global organizations steer their decarbonization efforts.

Why is a holistic analysis important for controlling?

To steer efficiently, controlling needs the full picture. A holistic analysis ensures maximum data quality across the global supply chain, allowing you to identify "hot spots" – areas with the highest emissions. So, you can prioritize actions effectively and allocate resources where they matter most.

How granular can we make our decarbonization strategy?

Very granular. We help you determine the gaps to your target state not just globally, but per business unit and per geography. This ensures that every part of your organization understands its specific contribution to the Scope 3 reduction goals and can be held accountable.

What is the benefit of modelling both top-down and bottom-up?

Top-down sets the ambition, but bottom-up confirms reality. By modelling both, you can assess if your high-level reduction goals are actually achievable given the specific constraints and opportunities in your markets, confirming potential with procurement and business units before committing.

Can we plan targets for specific transport modes?

Yes. Our platform allows you to break down targets per transport mode and propulsion type. This level of detail is essential for understanding the impact of specific levers, such as shifting from road to rail or adopting HVO fuels on specific lanes.

Why is it necessary to verify targets in specific markets?

Decarbonization potential varies by region. By following up bottom-up on specific trade lanes, you can verify what is actually achievable in those markets – considering local infrastructure and fuel availability – rather than relying on a uniform global assumption that might miss the mark.

Still have questions?

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