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    Logistics

    How do we make complex operations more predictable, safer and smarter?

    Logistics operations involve many partners, systems and daily exceptions. We integrate those systems and apply intelligence to give visibility into the operation, anticipate delays and handle exceptions quickly.

    Starts with: Business processes

    Find where to start →

    A warehouse team monitoring cargo handling

    What we offer

    • End-to-end visibility

      Orders, fleet, warehouses and carriers tracked in a single view, in real time.

      Also known as: Control tower · analytics

    • Exception handling with agents

      Delays, discrepancies and redeliveries identified and routed automatically, with human approval when needed.

      Also known as: Agentic AI · process automation

    • Lead time and demand forecasting

      Models that estimate delivery times and operating volume to plan resources.

      Also known as: Machine learning · forecasting

    • Partner and customer integration

      Transportation, warehouse and ERP systems connected to customers and partners through APIs.

      Also known as: System integration · LinkAPI

    Processes Semantix AI Suite runs in your sector

    Examples of application

    • Tracking and delivery exceptionsDelays detected and the customer notified before they complain.
    • Freight auditCarrier invoices checked against the contracted rates.
    • Pickup and delivery schedulingWindows confirmed with customers and carriers.
    See the business areas →

    Cases

    Results from real projects

    Clients are not named, for confidentiality.

    • LogisticsSales and customers

      Flight and offer recommendations at an airline

      Challenge
      Flights with low load factors and the same offer for every passenger.
      What we did
      Clustering, association rules and passenger similarity to recommend flights and services.
      • +50%revenue from email marketing
      • +400%revenue from social media

      Measured result

    • LogisticsOptimization

      Dynamic pricing for bus tickets

      Challenge
      Prices set manually on every route.
      What we did
      Data ingestion, demand forecasting, price optimization and API integration with the ticketing system.
      • 4,000prices calculated per day
      • 200prices published per day

      Pilot · Test version

    • LogisticsOptimization

      Scheduling rail equipment

      Challenge
      Wagon and equipment scheduling done without optimization.
      What we did
      Constraint programming and integer linear programming.

      Delivery

    • LogisticsForecasting and planning

      Road freight price forecasting

      Challenge
      Freight costs that were hard to predict on reference routes.
      What we did
      A forecasting accelerator, news monitoring and a geographic scenario simulator.

      Delivery

    See all cases

    Every sector has its own bottleneck

    The method does not change: we understand the problem, map the workflow, check what already exists and define a first step with real impact.

    Talk to Semantix

    Not sure what a term means? That’s fine

    Nobody should have to speak technology to understand a transformation.

    Enterprise AI Company
    A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
    Hybrid workforce
    AI agents handle the volume; specialists decide the exceptions and the risky cases.
    Operation that learns
    Every human decision becomes knowledge, so the next similar case is faster and cheaper.
    Outcome-based contract
    You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
    Context
    Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
    AI
    Computers able to perform tasks that would normally require human intelligence.
    Agent
    An AI system that can carry out tasks using tools.
    Workflow
    The path a piece of work travels inside a company.
    API
    A way of letting systems talk to each other.
    Cloud
    Computing and storage reached over the internet.
    Data Platform
    An environment that organizes and serves the company’s data.
    Agentic AI
    AI that can understand goals and carry out tasks within defined limits.
    AI Harness
    The structure that supplies the context, tools, rules and controls an agent needs to act safely.