Store-Level Emissions Survey for Retail Chains

Measuring and reducing your retail chain's environmental impact starts with accurate, store-level data. This Store-Level Emissions Survey template helps retail managers and sustainability teams capture the critical metrics needed for carbon footprint assessments and ESG reporting.

Built specifically for retail operations, this form collects detailed information across four key emission sources: energy consumption from utility bills, refrigeration and HVAC loads, customer traffic patterns, and supply chain transportation data. Whether you're managing a grocery chain, department stores, or specialty retail locations, this template provides the structured data collection framework you need.

The survey guides store managers through each section with clear instructions and relevant field types—from file uploads for energy bills to calculated fields for refrigeration loads and traffic estimates. Conditional logic ensures that only relevant questions appear based on your store's specific operations, making the form faster to complete while maintaining data quality.

For sustainability directors and ESG managers, this form integrates seamlessly into your existing workflows. Submit responses directly to your carbon accounting software via Stepper (stepper.io) to automatically calculate Scope 1, 2, and 3 emissions, update dashboards, and track progress against reduction targets. You can also connect submissions to Google Sheets or Airtable for custom analysis and reporting.

Paperform's calculation engine lets you build in preliminary carbon estimates right inside the form, giving store teams immediate feedback on their environmental impact. Use Papersign (papersign.com) to collect manager sign-offs on data accuracy, creating an audit trail for compliance and third-party verification.

Whether you're preparing for CDP disclosure, working toward Science Based Targets, or simply building a baseline understanding of your retail footprint, this template turns complex environmental data collection into a straightforward, repeatable process that scales across your entire chain.