From document AI and agent orchestration to evaluation pipelines and production monitoring, we build AI capability into logistics products—not generic experiments disconnected from ops systems.
Who this is for
Product teams adding AI layers to existing logistics platforms
Engineering leaders needing custom evaluation, monitoring and governance
Logistics teams scaling from one AI pilot to multiple workflows
Platform owners requiring an AI development partner with logistics depth
What this solves
- 01
Logistics AI requires domain context—milestone semantics, document types, exception ownership—alongside engineering rigor. We combine both in every engagement.
What we can build first
Custom document and email AI pipelines
Agent orchestration with tool calling and permissions
Evaluation, monitoring and regression testing for AI workflows
RAG and knowledge systems over logistics runbooks and TMS data
Integration services for embedding AI into portals and ops tools
How 4RTY helps
Process mapping
Product design
UX and UI
Technical architecture
Development
Integrations
Launch support
Documentation
Systems we integrate with
Delivery & scale path
MVP
Start with a focused release
- AI architecture: Define models, tools, data contracts, evaluation and governance.
- Workflow delivery: Build pipelines, agents or copilots for one operational slice.
- Hardening: Add monitoring, regression tests, permissions and audit logging.
- Scale: Expand to additional workflows, locales and integration surfaces.
Scale
Expand after launch
- Integration services for embedding AI into portals and ops tools
FAQ
Common questions
Do you only use off-the-shelf AI APIs?
We use leading LLM and document AI providers where they fit, combined with custom orchestration, evaluation harnesses and TMS, WMS and ERP integrations your logistics workflows require. Artificial intelligence development services include data preparation, tool design, monitoring and regression tests—not only prompt tuning—so production quality is measured on real operational samples with audit trails.
Can AI development services extend our existing logistics product?
Yes. 4RTY embeds AI into customer portals, operational dashboards and internal ops tools through API and webhook integrations aligned to your release process. We define allowed actions, human approval paths for external communication, and logging so product teams can ship AI features logistics teams trust during peak season.
What governance do logistics AI services include?
Typical governance covers role-based permissions, source restrictions for retrieval, supervisor review queues, versioned test sets from production-like documents, and monitoring of correction rates and integration errors. Customer-facing and financial writes stay behind human-in-the-loop approval until metrics prove stable, with audit trails that tie each automated action back to TMS or WMS records logistics teams can verify.
How do you measure success for logistics AI development?
We measure handling time, correction rate after review, integration error rate, and adoption by the team that owns the workflow—not demo accuracy alone. Predictive analytics and agent assists must improve operational outcomes such as faster exception resolution, cleaner order intake, or reduced manual document re-keying tied to named TMS milestones.