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ScheduleSense

AI-powered vessel schedule ingestion, correction & ERP-ready publishing

ScheduleSense automates the capture and transformation of vessel schedules received via email, converting unstructured messages into a clear, standardized timetable. Using AI-driven corrections against port master data—and self-learning capabilities for new ports—it ensures schedule accuracy without the grunt work. Users can review, edit, and validate schedules with full context, viewing the extracted timeline right beside the originating email before exporting directly into ERP or planning systems.

Processed - built for high maritime throughput.

What it does

  1. 01Automated email ingestion via forward-to-inbox
  2. 02AI extraction of vessel names, ports, arrival/departure times, and sequence order
  3. 03Port-name correction using semantic AI + master-data validation
  4. 04Self-learning for new ports with auto-suggestion and future auto-correction
  5. 05Side-by-side review console with editable timeline
  6. 06Direct connectors for ERP / planning systems with validation checks

Features

  • Email-to-Schedule Automation

    Forward emails; ScheduleSense handles ingestion and formatting

  • AI-Based Schedule Extraction

    Identifies ports, timestamps, vessel names, and sequences with high accuracy

  • Smart Port Normalization

    Corrects spelling variants and mismatches using semantic AI and master-data lookups

  • Self-Learning Port Memory

    New ports are stored automatically and corrected perfectly next time

  • Review & Edit Interface

    Make timeline adjustments with confidence scoring and audit history

  • Email + Schedule Viewer

    Compare original emails with the structured schedule

  • ERP Connectors

    Seamlessly publish validated schedules to planning and voyage management systems

  • Validation & Anomaly Detection

    Flags missing dates, incorrect port order, or invalid entries

By the numbers

5,000+ schedules/month

Processed - built for high maritime throughput

85% faster

Schedule preparation - AI extraction + smart corrections

99% accuracy

Port-name accuracy - auto-correction powered by master data + self-learning

<15 sec

To structure a full vessel schedule from email

When you'd use this

Marine Operations Planning

Convert incoming emails into structured voyage schedules. Detect and correct invalid ports automatically. Push validated schedules directly into ERP or scheduling tools.

Port & Terminal Coordination

Maintain accurate ATA/ATD data for berth planning. Standardize port naming across all incoming schedules. Eliminate manual spreadsheet consolidation.

Voyage Management & Tracking

Update voyage timelines quickly with AI-assisted corrections. Compare original emails with parsed schedule on the same screen. Reduce errors in voyage planning workflows.

Fleet Performance & Analytics

Feed clean, consistent schedule data into BI tools. Ensure port codes and naming are fully standardized. Simplify downstream KPI calculations and reporting.

Specs

Supported Formats
PDF, XLS/XLSX, Email text, Images
Input Method
Forward-to-inbox ingestion
Extraction Engine
AI parsing + temporal sequence modeling
Port Matching
Semantic similarity + deterministic master-data mapping
Viewer Modes
Side-by-side / timeline view
Processing Speed
~100–150 seconds per schedule
Deployment
Cloud / On-prem / Hybrid