Industry : Logistics
AI for logistics.
Logistics runs on documents and exceptions: every shipment generates paperwork in five formats and every day produces disruptions that need communicating. Novistu builds the layer that keeps both moving: document extraction (PODs, bills of lading, customs packs), customer track-and-trace agents that answer with real shipment data, and exception workflows that surface problems before customers call. Integration with your TMS keeps operations authoritative.
The sector reality
What actually hurts here.
Paperwork floods the back office
PODs, customs forms and BOLs arrive as scans and PDFs. Extraction with validation files them into your systems without rekeying.
Customers call for tracking
Where-is-my-shipment calls dominate support volume. Shipment-aware agents answer instantly from live data across channels.
Exceptions surface too late
Delays discovered when customers complain. Monitoring agents flag deviations and trigger communication proactively.
Carrier admin repeats
Rate checks, claims and invoice reconciliation consume coordinators. Automated comparison, claims prep and reconciliation clear the desk.
Use cases
What we build in this sector.
01
Document processing
PODs, customs documents, BOLs and invoices extracted, validated and filed with audit trails.
02
Track-and-trace agents
Customer questions answered from live shipment data on chat, email and WhatsApp.
03
Exception management
Deviation monitoring with proactive customer and ops notifications.
04
Claims and reconciliation
Carrier claims drafted from evidence; invoices reconciled automatically.
05
Quotation automation
Rate lookups and quote drafts for standard lanes, routed to humans for complex freight.
The automated workflow
A sector workflow, rebuilt.
- Shipment event
- Documents processed
- Monitoring runs
- Customers informed
- Exceptions resolved
- 01
Shipment event
Documents and status events flow from TMS and carriers.
- 02
Documents processed
Extraction and validation into structured records.
- 03
Monitoring runs
Deviations flagged before customers notice.
- 04
Customers informed
Agents answer and notify with real shipment context.
- 05
Exceptions resolved
Humans handle what judgment must; the routine clears itself.
Measurement
KPIs this work moves.
Your baseline is your own; the direction is what automation changes. We measure before we build.
| KPI | Typically today | With automation |
|---|---|---|
| Back-office document cost | Per-document manual handling | Automated with reviewed exceptions |
| Support call volume | Dominated by tracking questions | Absorbed by shipment-aware agents |
| Exception response time | Discovered via complaints | Flagged proactively |
| Carrier invoice accuracy | Reconciled by sampling | Reconciled completely |
Integration landscape
Honest section
What can go wrong here.
Customs and compliance documents demand audit-grade accuracy: confidence thresholds and review queues are mandatory
Customer communication during disruptions must be factually precise; agents answer from data, never invent
EDI variability across carriers means integration depth determines automation coverage
Sector questions.
That is the core competence of the document layer: layout-agnostic extraction with validation against your shipment records, and low-confidence items queued for human review rather than guessed.
Where disclosure norms or your policy require it, agents say so plainly. What customers actually test is whether tracking questions get accurate answers immediately.
Yes: customer-specific rules and communication templates are configuration, and the document layer processes across all your accounts with per-customer validation.
Tell us what is eating your team's hours.
A short brief, answered within one working day. The first call is free, and if AI is not the right answer, we will say so on that call.
First call free : honest about fit : no obligation