Logistics & Supply Chain

Agentic Workflow Automation for Logistics & Supply Chain

Agentic Workflow Automation for logistics & supply chain, built around the constraint that defines the sector: your data depends on partners whose systems you do not control.

Regulations in scope
4
Systems we integrate
5
Typical first release
6 weeks

What changes when it is logistics & supply chain

Orqent Labs automates the workflows that sit between your systems: the reconciliations, the approvals, the document hand-offs that no ERP module ever quite covered.

In logistics & supply chain, your data depends on partners whose systems you do not control. That single fact reshapes how agentic workflow automation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is route and load planning, usually integrated against carrier portals. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.

The sector constraints we design around

Defining constraint
your data depends on partners whose systems you do not control
Regulations in scope
e-way bill compliance · customs documentation · GST requirements · transport regulations
Systems of record
TMS · WMS · ERP · carrier portals · customs platforms
Where we usually start
shipping document processing

Agentic Workflow Automation workloads in logistics & supply chain

  • shipping document processing
  • proof-of-delivery capture
  • exception and delay handling
  • freight invoice audit
  • route and load planning

What is included

  • Process mapping and automation candidacy scoring
  • Agent design per workflow stage
  • Exception handling and escalation paths
  • Approval gates with full audit trail
  • Cycle-time and cost baselines, measured before and after
  • Change management and team training

Questions from this sector

Our partners send data in every format imaginable.

That is the normal starting condition and exactly what document intelligence handles, email, PDF, EDI, scanned paper, all normalised into one structure.

Can it predict delays?

Yes, where there is enough history. The usable output is a reliable exception alert with enough lead time to act, not a precise arrival time.

How is this different from RPA?

RPA follows fixed rules on fixed screens and breaks when either changes. Agentic automation reads context, handles variation, and escalates what it cannot resolve, so it keeps working when the process drifts.

How do you prove the ROI?

We baseline cycle time, touch count and cost per transaction before building, then measure the same figures after. The comparison is the deliverable, not a projection.

What if the agent hits a case it cannot handle?

It escalates with full context to the right human, and that exception feeds back into the next iteration. Coverage rises over time rather than being promised on day one.

Agentic Workflow Automation for logistics & supply chain, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Or email bd@dtrasglobal.com · call +91 74118 77878