Inquiry entry
Before
The inquiry in a customer's email is retyped into the form, line by line.
With Copilot
Paste the sentence; route, equipment, weight, incoterm and dangerous-goods details arrive as a suggestion card.
LojiMind · TMS Copilot
AI-Native TMS for Modern Logistics
LojiMind turns a customer's sentence into an inquiry, a carrier email into file updates and a scanned bill of lading into data. It explains exceptions before you ask and proposes the next steps. The AI suggests, the code verifies, you always decide.
Built on 30+ years of software and business analysis experience
- Gemini, Groq or a fully local model
- Customer identity never reaches the model
- One Copilot across 4 transport modes
AI suggests · You decide
Traditional TMS vs AI-Native TMS
From Software That Records Freight to Software That Runs It
A traditional TMS stores what happened; the operator carries the work itself. As volume grows, it is the headcount that grows, not the software. In an AI-native TMS, copilots and agents run the routine.
| Topic | Traditional TMS | AI-Native TMS |
|---|---|---|
| Data entry | Traditional TMSThe operator fills in the form by hand. | AI-Native TMSThe customer's sentence, the supplier's rate sheet and the bill of lading become records with your approval. |
| Process | Traditional TMSHard-coded; every change is a software project. | AI-Native TMSThe process definition is data; your company's definition is created from a ready template. |
| Exceptions | Traditional TMSKnown only if someone notices. | AI-Native TMSThe rule engine and the agent catch them; an overdue record escalates to the next level. |
| Audit | Traditional TMSA manager checks a sample. | AI-Native TMSESA runs the check you wrote on every file, the moment it enters the step. |
| Estimates | Traditional TMSBased on experience. | AI-Native TMSHorizon calculates the expected finish of every step and opens an exception on deviation. |
| Reporting | Traditional TMSRequested from IT, waits in a queue. | AI-Native TMSA dashboard is described in one sentence; lists and widgets are built from it. |
| Routine work | Traditional TMSDone by whoever remembers. | AI-Native TMSA playbook runs on a schedule or on an event. |
The Move Is Not a Choice, It Is a Necessity
Volume is rising, margins are shrinking and customers expect an instant answer. A logistics company that moves to an AI-native setup handles more work with the same team, faster and with fewer errors.
Less manual labour
Copilots take over data entry and follow-up; the team returns to its real work.
Time saved
Inquiries, quotes and documents move without waiting in a queue.
Fewer errors
Less manual copying; code verifies the model's output and an agent checks the steps.
Full visibility
Delays and exceptions are visible before the customer calls.
AI at Work
Hours of Manual Work, Done in One Step
Four jobs your operations team repeats every day, and how the Copilot takes them over.
Carrier updates
Before
ETA, vessel and cut-off changes from the carrier are keyed into the file by hand.
With Copilot
Paste the email; every changed field is proposed as old → new and applied in one click.
Bills of lading
Before
B/L number, vessel, voyage and on-board date are read off a scanned B/L one by one.
With Copilot
Upload the document; the AI reads the fields, writes them to the file and logs every step in the audit trail.
Overnight exceptions
Before
A cut-off missed at midnight is only noticed the next morning.
With Copilot
The moment the exception opens, the AI reads the file; its “what happened, why it matters, what to do” note is ready at 00:25.
AI Capabilities
AI That Works at Every Step of Your Operation
Nine AI capabilities take over your team's repetitive work, from inquiry entry to exception handling. None of them writes a record without your approval.
Inquiry Copilot
Turns a customer's sentence into a validated inquiry. When a port is ambiguous it asks instead of guessing: “Izmir — Alsancak or Aliaga?”
Operations Copilot
Extracts ETA, vessel/voyage, cut-off and free-time updates from carrier and agent emails. Answers “Am I at risk of demurrage?” with figures computed from the file.
Document Reading
Reads bills of lading (HBL/MBL) field by field, even when scanned. PDF, Word, Excel and email files become suggestions too.
AI-Native Control Tower
The moment an exception opens, the assistant reads the file and writes its own “What happened / Why it matters / Next steps” note. Unowned exceptions escalate automatically.
Human-Approved AI Workflows
If a departure confirmation is missing, the AI drafts the request to the carrier, a supervisor approves it, and the flow keeps watching for days until it closes itself.
Voice Dictation & Help Assistant
Say “two forty HC” and it writes 2x40HC. The help assistant (F1) knows which screen you're on and answers with citations from the user guide.
Buy-Rate Ingestion
Reads the rate table in an agent's or carrier's email and asks about columns or values it cannot match, learning the answer. After your approval it writes to the buy tariff and applies the delta against the previous sheet.
Executive Supervisor Agent (ESA)
Runs the check you wrote in plain language on a process step against the file's data; if something is wrong it opens an exception and assigns a task to the right person. It never edits the file.
Horizon Duration Estimates
Writes each step's estimated completion from a rule such as “median duration over the last 90 days”, and opens a deviation exception in the Control Tower when the step overruns.
Transport Modes
The Same AI Copilot Across Every Transport Mode
Road, air, sea and intermodal operations share one AI architecture: the inquiry Copilot, document reading, the Control Tower and approved workflows each speak that mode's language.
Road Freight TMS
CopilotAn AI-powered road freight TMS that manages FTL and LTL shipments from inquiry to delivery, reads CMRs and explains delays the moment they happen.
- FTL / LTL Inquiry & Quote Management
- Sentence-to-Inquiry Entry with Copilot
- Load File, Trip & Status Tracking
- CMR & Transport Document Reading
- Delay Management in the Control Tower
- Costs, Profitability & Invoicing
Air Freight TMS
CopilotAn AI-powered air freight TMS that calculates chargeable weight automatically, reads air waybills and explains flight disruptions as they happen.
- Automatic Chargeable Weight Calculation
- Air Cargo Inquiry Entry with Copilot
- AWB / HAWB / MAWB Reading
- Dangerous Goods (DGR) Details
- Flight Disruptions in the Control Tower
- Costs, Profitability & Invoicing
Sea Freight TMS
CopilotA TMS that runs sea freight end to end with an AI Copilot, from FCL and LCL inquiries and multi-option quotes to bookings and bills of lading.
- FCL / LCL Inquiries & Multi-Option Quotes
- Multi-Carrier Rate Comparison
- Load File, Position & Container Tracking
- Cut-off & Demurrage Free-Time Tracking
- HBL / MBL Reading (Scans Included)
- AI-Native Control Tower
Intermodal Freight TMS
CopilotAn AI-powered intermodal TMS that combines sea, rail and road legs in one file, reads each leg's documents and explains delays at transfer points.
- Multi-Leg Inquiries & Quotes
- Every Leg in One File
- Transfer Point Tracking
- Per-Leg Document Reading
- Transfer Delays in the Control Tower
- Unified Costs & Invoicing
How It Works
Inquiry to Invoice in 5 Steps, with AI at Each One
LojiMind keeps the whole operation in one chain: inquiry, quote, load, operations and invoice are linked together.
01
Inquiry
Requests arrive by email, the customer portal, the Partner API or a phone note.
Copilot: Fills the form from a sentence and asks about gaps.
02
Rates & Quote
Tariffs and carrier rates are compared; a multi-option quote goes out by PDF, email or WhatsApp.
Copilot: Just say “search rates”; supplier rate sheets are also read from email into the buy tariff.
03
Load & Booking
An accepted quote becomes a load file; the booking and position open and the process engine ticks off the steps.
Copilot: Reads carrier confirmations and bills of lading and proposes them for the file.
04
Operations & Exceptions
Cut-offs, departure, arrival and delivery are tracked; exceptions collect in the Control Tower.
Copilot: Explains exceptions before you ask, checks steps against your rules and flags delays early.
05
Invoice & Close
Costs, profitability and the invoice come from the same file; every record traces back to its inquiry.
Copilot: Ask “What's my margin on this file?” and get an answer computed from the file.
Responsible AI
The AI Suggests, the Code Verifies, a Human Decides
AI only adds value to your operation if you can trust it. In LojiMind every suggestion is visible, reversible and auditable.
Suggest first, save later
The Copilot fills in the form but never saves. Every change shows old → new; the record is created by your Save, and Undo is always there.
Code-level guarantees
Model output is re-checked in code: an invented port fails the catalogue check, and date maths is done by code, not the model.
Customer identity stays out
Customer names and identities are never sent to the language model; uploaded files are converted to text inside the platform.
Fully local AI option
Gemini, Groq or Ollama on your own server: you pick the model per screen. With a local model, data never leaves.
A separate database per company
Every customer's data lives on its own physical database server and in its own document archive; API keys are stored encrypted.
Audit trail and cost visibility
Every applied suggestion is logged under the user's name. The AI Usage screen shows tokens and estimated cost per copilot, model and user.
Technology Stack
Enterprise Architecture Built for AI
LojiMind is built on an AI-native architecture: the copilots run on an event-driven backbone and a knowledge graph, built from proven open technologies.
Java 25
Java 25 & Spring Boot
Separate microservices for inquiries, sea, air, road, finance and pricing, on a scalable backend with virtual threads.
Neo4j
Neo4j Knowledge Graph
The inquiry → quote → load → position → container → invoice chain is stored as a graph. “Which inquiry did this invoice come from?” is a single traversal.
LangGraph
LangGraph Copilot Flows
Each Copilot turn is a small graph: the model extracts, the code validates. Long-running AI flows can pause for human approval and resume days later.
Gemini · Groq · Ollama
Multi-LLM Support
Google Gemini, Groq or fully local Ollama; each Copilot screen gets its own model, and prompts can be tailored per company.
NATS
NATS JetStream
Event-driven backbone: Copilot replies stream live, services work without blocking each other, and model settings change without a restart.
HITL · AI-ITL
Process Engine
Import/export and FCL/LCL processes run from JSON definitions; steps are completed by the system, a human approval or the AI; ESA checks the steps and Horizon estimates when they finish.
Frequently Asked Questions
A TMS (Transportation Management System) is logistics software that brings inquiries, quotes, carrier selection, shipment tracking, document management and freight billing together on one platform. LojiMind is a cloud-based TMS that runs these processes end to end with an AI Copilot.What is TMS software? Read the full guide
ContactEmail
Request a Demo or Get in Touch
Let's try the Copilot together on your own inquiry emails and documents.
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+90 544 961 65 61
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+90 544 961 65 61
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