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Digitised Climate Action Plan
Streamline and digitalise your climate action plan aligned with SBTi, energy grid reductions, business growth, CAPEX & OPEX.
Connect initiatives to targets & financials, assign ownership across departments, markets, and financials, and adapt plan to new initiatives, customer requirements, or regulations.
Centralise and sync emissions data from carbon accounting systems or spreadsheets, for streamlined analysis.
Simplify target setting and link to sub-targets for alignment.
Use factors from DEFRA, AIB, etc., to calculate energy reductions per project.
Align targets to departments, markets, and projects based on GHG standards.
Connect projects to CAPEX and OPEX for accurate cost tracking.
Upload & integrate existing projects from Excel seamlessly.
Monitor progress and reductions per project in real time.
Automated Switching Scenario Modules
Identify, model and compare optimal solutions ie in feed, heat/cooling/refrigriation, transportation, packaging or ingredients to align with your climate strategy and prepare decision-ready cases.
Identify, model and compare optimal solutions across key areas such as feed, heat/cooling/refrigeration, transportation, packaging, and ingredients compared to Business As Usual (your baseline).
Simulate multiple pathways to align with your climate strategy, incorporating emissions, climate and nutrition/animal welfare, costs, investments and timelines.
Compare the impact of different solutions side-by-side to determine the best fit for your goals.
Generate clear, actionable cases backed by climate & financial data for stakeholders and leadership teams.
Ensure all solutions adhere to SBTi and GHG Protocol standards. Deepen analysis through each of the Life Cycle stage for focused impact changes.
Update scenarios dynamically as budgets, regulations, or customer demands evolve.
Leverage real-time emissions factors from Unibloom's integrated agrifootprint or own database, with cost and emission factors down to grain et al, cost inputs, and market-specific data for accuracy. Overwrite with custom data when accessable.
