DDT / POD Automation
Post-delivery management of delivery notes, CMRs, proof of delivery and signed documents.
DDT Vision
AI Document Automation / Logistics Intelligence
The AI platform that turns logistics documents, PDFs, emails and photos into structured, validated data integrated with business systems.
It captures documents from WhatsApp, email, uploads and external portals; extracts relevant data with AI/OCR/Computer Vision; applies validation rules and sends payloads to TMS, ERP or WMS.
In document-heavy back offices, the document is not an attachment: it enables delivery, invoicing, audit and control.
DDTs, delivery notes, CMRs, PODs, orders and transportation documents arrive in different formats and often require manual data entry.
DDT Vision turns unstructured flows into reliable, verifiable and system-ready data, reducing errors and processing time.
PROBLEMS
The problem it solves
Scattered documents and variable layouts make the flow from received document to system data fragile.
Manual data entry from paper documents, PDFs, emails and photos.
PODs and delivery documents available too late for delivery and invoicing needs.
Transcription errors on packages, weights, recipients, orders and codes.
Exceptions and reservations not detected in time.
SOLUTION
How it works
DDT Vision covers the full cycle: capture, interpretation, validation, integration and audit.
Multi-channel ingestion
WhatsApp Business, Microsoft 365 email, dashboard upload, PDFs, photos and external portals.
AI/OCR interpretation
Groups pages and images, recognizes variable layouts and extracts relevant fields.
Operational validation
Checks required fields, formats, consistency, warnings, signatures, stamps and reservations.
System delivery
Maps fields to the required payload and manages outcomes, retries, errors and history.
OUR SERVICES
Why choose DDT Vision
Order Automation
Extracts data from PDF orders and creates shipments in the TMS after validation.
External Portal Import
Imports from external portals, Excel files or orders in configured status.
Master data & Matching
Automatic or fuzzy matching on company name, address and delivery points.
Dashboard & Validation
Review, correction, payload preview, logs and retry dashboard.
Exception Intelligence
Warnings on damage, reservations, broken materials, handwritten notes and inconsistencies.
USE CASES
Managed data
The model is configured on the documents and fields the company actually uses.
Document number and dateSender, recipient, company name and addressPackages, pallets, drums, returns, EPALGross and net weightTrip code, shipment, deliverySignature, stamp, reservations and damageHandwritten notesTMS reconciliation keys
Document number and date
Sender, recipient, company name and address
Packages, pallets, drums, returns, EPAL
Gross and net weight
Trip code, shipment, delivery
Signature, stamp, reservations and damage
Handwritten notes
TMS reconciliation keys
PROBLEM
KPIs to measure in the pilot
Time between delivery and POD availability
Documents processed automatically
Fields correct at first pass
TMS errors and retries
Back-office hours saved
Exceptions detected