Project AURIONAI Use-Cases Research & Innovation
Retail and Logistics

Route Optimisation

GPU-accelerated optimisation solver (NVIDIA cuOpt 26.10, Apache-2.0), not a neural model.

Named Models

Where this comes from
Models the research names for this use case. Research, with sources on each model record.

Who Runs It

production, 1
J&T Express IndonesiaJ&T Express IndonesiaCountry: IndonesiaAI and data analytics for route optimisation and real-time operations monitoring (not named)Vendor: not statedproductionDate26 Aug 2026Automatic sorting in 19 sorting centres is also described, but AI is not stated for sortingEvidence: company statementConfidence: lowSource: selular.id
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

No candidate: no model class is recorded for this use case.

Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Sources

  1. GitHub - NVIDIA/cuopt: GPU accelerated decision optimization github.com https://github.com/NVIDIA/cuopt

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Route Optimisation", https://aurion.semai.id/usecases/ret-route-optimisation/, records of October 2026.