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    Manufacturing and automotive

    How do we produce better, predict problems and cut waste?

    Industrial plants and automakers generate large volumes of data that do not always arrive in time to inform decisions. We integrate engineering, production and aftersales and apply intelligence to anticipate problems and reduce waste.

    Starts with: Data and AI

    Find where to start →

    An operator monitoring the production line

    What we offer

    • Plant data with context

      Sensors, ERP and production records integrated into a single base, available during the shift.

      Also known as: Data platform · IIoT

    • Predictive maintenance

      Models that anticipate equipment failures and guide maintenance scheduling.

      Also known as: Machine learning · predictive maintenance

    • Engineering, plant and aftersales integration

      Engineering, production, quality and aftersales systems connected, preserving what already works.

      Also known as: System integration · SAP

    • Maintenance and quality orders with agents

      Agents open, prioritize and route maintenance orders and non-conformities within the operation’s rules.

      Also known as: Agentic AI · process automation

    Processes Semantix AI Suite runs in your sector

    Examples of application

    • Maintenance ordersThe equipment alert becomes a work order with parts and a technician.
    • Parts purchasingQuotes, comparison and order within policy.
    • After-sales and warrantyRequest verified and routed with the product’s history.
    See the business areas →

    Cases

    Results from real projects

    Clients are not named, for confidentiality.

    • Manufacturing and automotiveForecasting and planning

      Raw material demand forecasting

      Challenge
      High error in next-month forecasts, affecting purchasing and production.
      What we did
      AI models for one- to three-month horizons, with training, validation and testing.
      • 11%→2%next-month error (MAPE)

      Measured result

    • Manufacturing and automotiveOptimization

      Inventory optimization across plants

      Challenge
      Excess stock alongside stock-outs across several plants.
      What we did
      Analysis of demand, lead time and criticality, optimal stock levels, purchase recommendations and a control tower.
      • −20%inventory levels

      Measured result

    • Manufacturing and automotiveOptimization

      Allocating people on the production line

      Challenge
      Unstructured allocation, absenteeism and overloaded teams.
      What we did
      An allocation optimization simulator, delivered as an end-to-end digital product.
      • +25%line speed

      Measured result

    • Manufacturing and automotiveData governance

      Data governance at a multinational chemicals company

      Challenge
      Duplicate data, unknown business rules and a data lake that other operations in the Americas were about to use.
      What we did
      Data curation, a catalog and glossary, review of every new pipeline, a data quality process and data owners.
      • −40%pipeline development time
      • −18%code refactoring
      • 100%of new pipelines reviewed

      Measured result

    • Manufacturing and automotiveProcess automation

      Automatic approval of service orders

      Challenge
      Manual price checks on parts and labour in dealership service orders.
      What we did
      Data standardization, pricing models, external price bots and a containerized model integrated with the systems.
      • +5,000service orders automated

      Measured result

    • Manufacturing and automotiveComputer vision

      Safety and quality with computer vision

      Challenge
      PPE use, process quality and ergonomics checked by sampling.
      What we did
      Computer vision monitoring of PPE use and of each process step.

      Delivery

    • Manufacturing and automotivePeople

      Forecasting absenteeism in plants and stores

      Challenge
      Absences disrupting plants and points of sale.
      What we did
      Absence probability, a weekly forecast per unit for the next four weeks and alerts to managers.

      Delivery

    • Manufacturing and automotiveOptimization

      Logistics network for a food manufacturer

      Challenge
      Production, storage, distribution and taxes decided separately.
      What we did
      Network optimization with the interstate tax matrix and price equalization.

      Delivery

    See all cases

    Clients in this sector

    • Volkswagen
    • Renault
    • MAN
    • Marcopolo
    • Berneck

    Display of brands subject to usage authorization.

    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.