Reactive tracking
The customer calls when the shipment is already late. Ops hears about it from the customer, not the system.
Logistics
Tracking that warns first, before the customer asks.
Pickup coordination, shipment status, documentation and dispatch with drivers. The AI catches the problem before the SLA breaks.
The problem
What hurts, in this industry.
Paper documentation
Bills of lading, waybills, manifests — photos sent over WhatsApp and processed by hand.
Drivers with no support channel
Calls to dispatch for questions that repeat 100 times a day.
How we solve it
The Flamerly stack for this vertical.
- 01
Proactive tracking workflow
Cross-references TMS ETA against contract SLA and alerts before the customer notices.
- 02
Transport-doc OCR
Extracts SKU, weight, destination and consignee against the load plan.
- 03
Driver agent
WhatsApp + voice with instructions, checkpoint status and first-line support.
- 04
TMS / WMS connectors
Syncs with your TMS and warehouse — no system migration required.
In production
Anonymized cases, real ranges.
Regional 3PL
Proactive tracking: early alerts reduced reactive calls by 50-65%.
Carrier / consolidator
Document OCR: capture time per container dropped from 12 min to 90 seconds.
Urban last-mile
Driver support 24/7: per-question resolution time dropped from 8 min to < 1 min.
Connectors
Typical stack we plug into.
- Oracle TMS
- Manhattan
- Descartes
- CargoWise
- SAP
- HubSpot
- Twilio
- GPS providers
Not exhaustive. If yours isn't here, ask — we've probably already connected to it.