AI-Powered Freight Operations IntelligenceInvoice-to-OTM shipment-cost automation for Transworld
SDLC Corp built an AI system that reads freight documents, connects them with operational data, supports human decisions, pushes approved shipment cost lines into Oracle Transportation Management, and learns from every validated outcome.
Built for Transworld Freight Operations
An AI system that reads freight invoices, matches them to the right shipment and vendor, validates every charge, and posts approved shipment cost lines into Oracle OTM, with human approval on the exceptions.
From Manual Work to AI Decisions
Freight operations depend on information spread across emails, invoices, shipment records, vendor data, charge details, and transportation systems. Before invoice information can be added to a shipment, the team must identify the right shipment, verify the service provider, understand the charges, check existing records, and resolve missing or conflicting details.
Building on our earlier AI document processing work for Transworld, SDLC Corp built an AI powered freight operations intelligence system that connects documents, operational data, business knowledge, and human review inside one controlled workflow, then posts approved shipment cost lines into Oracle Transportation Management (OTM) and learns from every validated outcome.
Inconsistent Invoices, Scattered Context
Freight invoices carry critical operational information but rarely follow a consistent structure. Basic extraction can read values from a document, yet it cannot understand the complete operational context, and static rules break when vendors use new formats, unfamiliar descriptions, or incomplete references.
Vendors vary in every way
Every case forced the team to decide
Invoice-to-OTM, End to End
How the system identifies, decides, validates, and pushes the right shipment cost lines, with a knowledge hub and human control built in.
Invoice is already created in OTM, so only shipment cost line items are pushed (Buy Shipment › Financials › Costs).
Six Stages, One Controlled Workflow
Routine cases follow a structured path; uncertain or exceptional cases are routed to an authorized user. Every stage builds context for the next decision.
Receive
Monitors configured mailboxes and identifies relevant invoice emails and attachments. Rules decide what enters the workflow and what is ignored, flagged, or reviewed.
Understand
AI identifies the business information the workflow needs: invoice details, vendor, shipment references, charge descriptions, amounts, currency, total. It focuses on meaning, not just text.
Connect
Extracted information is compared with shipment, vendor, service provider, and charge records, turning isolated document values into meaningful business context.
Validate
Checks shipment and vendor relationships, charge mappings, existing costs, duplicates, amount reconciliation, and missing or conflicting data. Confident cases move forward; uncertain ones are routed.
Act
The reviewer sees detected information and the proposed action, confirms or corrects it, and approved shipment cost information is added to the shipment in OTM, with full history recorded.
Learn
Approved corrections, confirmed mappings, and final outcomes are retained in the Knowledge Hub and reused when similar vendors, documents, or charge descriptions appear again.
More Than Document Automation
Eight capabilities that turn fragmented freight documents into clear, traceable, controlled operational actions.
Intelligent Document Understanding
Reads varied invoice formats and identifies the information operations needs, reducing dependence on fixed templates.
Operational Data Matching
Connects document information with shipments, vendors, service providers, and charge records to evaluate an invoice in real freight context.
Knowledge Based Charge Mapping
Compares vendor charge descriptions with approved mappings, historical relationships, and operational knowledge to recommend the right OTM code.
AI Assisted Validation
Goes beyond extraction and checks whether shipment, vendor, charge, and cost relationships make sense before recommending an action.
Human Guided Decisions
Uncertain, incomplete, or inconsistent cases are routed to an authorized reviewer, keeping operational control with Transworld.
Continuous Learning
Confirmed matches, vendor relationships, charge mappings, and reviewer corrections are retained and reused during future processing.
Enterprise Integration
Approved information is posted to existing shipments in OTM, working with the current logistics environment rather than replacing it.
Processing History
Each case records the information identified, checks performed, decisions made, corrections received, and final action taken.
Automation With Human Judgment
The goal was never to remove people from every decision. The system reduces repetitive interpretation while keeping experienced users involved when a case truly needs judgment. Human review may be required when:
- A shipment cannot be identified reliably
- Multiple possible matches are found
- The invoice vendor does not match the service provider
- A charge cannot be categorized confidently
- A possible duplicate is detected or amounts do not reconcile
- Required information is missing
Built on a Proven Stack
The stack supports the workflow, but the value comes from how documents, business knowledge, human decisions, learning, and operational actions combine.
Azure Document Intelligence
Document understanding and attribute detection across varied invoice layouts. Learn about Azure AI Document Intelligence.
React
Interface for review, administration, and workflow visibility.
Node.js
Application logic, email workflow, validation, and enterprise integrations.
PostgreSQL
Operational records, processing history, mappings, and Knowledge Hub data.
Vector Search
Knowledge retrieval and similarity based matching of charges and patterns.
Oracle OTM APIs
Connect the intelligence system with existing shipment and cost records. Learn about Oracle Transportation Management.
From Document to Validated Action
Structured processing for the routine, human control for the exceptions, and knowledge that compounds over time.
Less Manual Interpretation
The AI prepares the relevant information and business context, so teams no longer start every case by reviewing whole documents across systems.
More Consistent Processing
Shipment, vendor, charge, and cost information runs through a defined workflow, reducing differences in how similar cases are handled.
Faster Exception Review
Reviewers receive detected information, proposed mappings, and validation results together, making exceptions easier to resolve.
Reduced Duplicate Risk
Existing shipment cost records are checked before new information is added, helping prevent duplicate charge entries.
Better Operational Control
Only validated, approved information reaches OTM; uncertain cases stay under human control.
Improved Traceability
Each case records what information was used, what changed, and what final action was taken.
The Outcome
SDLC Corp helped Transworld build an AI-powered freight operations intelligence system that connects documents, shipment data, business knowledge, human decisions, and operational workflows.
Instead of treating invoices as isolated files, the system evaluates them within the context of the related shipment, vendor, service provider, charge information, and approval requirements.
Routine cases follow a structured process, while uncertain cases are directed to the appropriate reviewer.
By retaining validated decisions and approved mappings, the system can also improve how similar cases are handled over time.
The result is a more controlled, traceable, and intelligent way to turn freight documents into validated operational actions.
Build Intelligence Into Your Operations
SDLC Corp builds AI decision intelligence systems that combine document understanding, enterprise data, business rules, human control, continuous learning, and operational integrations, for freight and beyond.
More From Our Logistics & AI Work
Related SDLC Corp solutions, case studies, products, and services connected to freight, decision intelligence, document automation, and Oracle OTM.
AI Decision Intelligence Solutions
The enterprise decision intelligence offering behind this freight build — data, predictions, and governed decisions.
Read moreTransworld, AI Document Processing
Our earlier intelligent document processing build for the same client.
Read moreTransworld, Odoo ERP Implementation
How we unified Transworld's logistics operations on Odoo ERP.
Read moreAI Intelligent Document Processing
More invoice, bill of lading, and Oracle OTM automation stories.
Read moreDAN, AI Document Processing
The document automation engine behind this OTM workflow.
Read moreLogistic Software Development
Custom logistics and supply chain software built by SDLC Corp.
Read moreAI Development Services
Custom AI, automation, and decision intelligence for enterprises.
Read more- Contact Us
Let’s Talk About Your Product
What happens next?
- We review your requirements
- Strategy call with experts
- Clear roadmap & estimate
- NDA Protected
- Enterprise Grade Delivery
- Global Clients
- By submitting this form, you acknowledge that SDLC Corp may process your details to respond to your inquiry. See our Privacy Policy and Cookie Notice.
