Produits
LogisticsAI vs spreadsheets for transport emissions evidence
Spreadsheets are flexible, but customer-facing emissions requests need repeatability, traceability, review context, and artifacts that can be reused.
Public
Teams deciding whether to keep manual spreadsheet reporting or move to a reusable workflow.
Problème
Manual spreadsheets often become hard to audit, version, explain, and reuse when customers ask for methodology and evidence.
Ajustement du produit
LogisticsAI turns the reporting task into a workspace with structured artifacts, quality notes, methodology context, and reusable exports.
Where spreadsheets work
Spreadsheets can be useful for early exploration, internal estimates, and one-off analysis when the audience is small and assumptions are easy to explain.
Where spreadsheets become fragile
They become fragile when formulas, assumptions, source evidence, versions, and customer-specific outputs are spread across files and inboxes.
- Reviewers cannot easily see which rows used fallbacks.
- Machine-readable outputs require extra manual work.
- Methodology and quality notes are often disconnected from the numbers.
What a workspace changes
A workspace keeps shipment inputs, calculations, quality findings, evidence notes, and export artifacts together so the reporting process is easier to repeat.
Explorez le flux de travail des preuves
Questions fréquemment posées
Should every team stop using spreadsheets?
No. Spreadsheets are still useful for exploration. A dedicated workflow becomes more useful when customer requests repeat or evidence expectations increase.
Can LogisticsAI import spreadsheet exports?
The workflow is designed around shipment exports and CSV validation patterns, then evidence artifacts can be reviewed and shared.
Ressources connexes
Passer du contenu au workflow
Utilisez les échantillons et outils publics pour évaluer le flux de travail, puis créez un espace de travail ou demandez un suivi asynchrone lorsque les données réelles de l'expédition sont prêtes.