Aller au contenu principal
LogisticsAI

Assistance

Security and privacy for transport emissions workspaces

Trust starts with clear handling of shipment data, account access, evidence artifacts, and public marketing forms.

Public

Teams evaluating whether to upload shipment data or request product access.

Problème

Shipment exports can contain commercially sensitive routes, customers, volumes, and operational context.

Ajustement du produit

LogisticsAI keeps security and privacy information visible, routes private application areas away from public indexing, and separates public samples from real customer data.

Public vs private surfaces

Public pages, samples, and templates are separate from private dashboard, API, auth, and share surfaces. Robots rules keep operational routes out of crawler scope.

  • Public sample artifacts are demo artifacts and not real customer records.
  • Dashboard and API paths are excluded from the public SEO sitemap.
  • Lead capture uses a dedicated marketing lead table rather than mixing inquiries into application reporting data.

Data minimization

Evaluation flows should ask for only the information needed to follow up, run a pilot, or explain API access. Shipment uploads should be reviewed before external publication.

Review before sharing

Generated artifacts should be reviewed by the responsible team before being sent to customers, auditors, or procurement portals.

Questions fréquemment posées

Are public sample files real customer records?

No. The sample pack is a demonstration artifact and does not represent a real customer or certified calculation.

Are private dashboard pages listed in the sitemap?

No. Public SEO routes are registered separately from dashboard, auth, API, and operational routes.

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.