AI-Driven Manufacturing

Unleash the potential of data and Artificial Intelligence in the Manufacturing sector

Smart production automation today

Modern manufacturing requires intelligent tools to optimize processes, reduce costs, and increase efficiency.

Artificial Intelligence (AI) is transforming the way production is managed, enabling better control over operations, minimizing losses, and automating key tasks.

Key benefits of implementing AI for companies in the manufacturing sector

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Revenue
growth

Demand forecasting, price optimization, and personalized offers for customers.

Process
optimization

Loss reduction, elimination of downtime, and streamlining the supply chain.

Improved
productivity

Automation of routine tasks and intelligent analysis of production data.
Trzech pracowników w kaskach ochronnych i niebieskich uniformach przemysłowych ogląda tablet podczas pracy w hali produkcyjnej.

Artificial Intelligence is a partner of modern manufacturing, supporting process automation, as well as enabling failure prediction and faster decision-making.

We know the challenges of the sector and we have the answers

Challenges

Complexity of production processes

High costs of downtime and inefficiencies

Need for better data management

Maintaining product quality

Growing automation requirements

Our Solutions
Production improvements

IoT and real-time monitoring

Predictive maintenance

System supporting certification processes

Resource management

RPA for office automation

Data Lake for data centralization

Implementation of AI tools for ERP systems

Effects
Effects

Minimization of downtime and failure costs

Improved product quality thanks to AI

Efficient inventory and supply chain management

Increased efficiency of employees and IT department

How does Artificial Intelligence support manufacturing in key areas?

Benefits
  • For customers:
    Identifying customer needs based on a description or drawing, assembling the product, presenting multiple options, and sending a request for quotation based on the selected option and specified quantity.

  • For the preparation team:
    Supporting product composition by finding alternatives, identifying the most cost-effective components, and reducing production waste.

Benefits
  • For planners: Optimization of machine utilization by providing the best possible scheduling and layout to maximize productivity, minimize downtime, and increase efficiency.
  • For the maintenance team: Predicting potential failures and enabling preventive actions through real-time data analysis to reduce downtime, extend equipment lifespan, and improve operational reliability.

Benefits
  • For operational and administrative teams:
    Optimization of planning, resource management, and documentation with AI agents. Reduction of workload, streamlined workflows, and improved handling of tasks such as purchase orders, invoices, and compliance reports.

  • For quality control:
    Automated inspection through real-time defect detection using image analysis. Continuous learning from historical data to reduce errors and ensure consistency.

They have trusted us

Manufacturing Rubber Products
Automotive Manufacturing
Construction machinery Manufacturing
Industrial cameras Manufacturing
Manufacturing Rubber Products
Automotive Manufacturing
Construction machinery Manufacturing
Industrial cameras Manufacturing

Everything starts with data



The foundation of successfully implementing Artificial Intelligence solutions is, above all, the proper collection of data and their correlation. That’s why at 3Soft we take a comprehensive approach to building a data environment, and as a first step, we create the so-called Single Source of Truth – one consistent source of truth about data within the organization.

We integrate data from various systems (MES, SCADA, ERP, Excel, sensors, WMS, and others), ensuring their full integration and consistency.

Thanks to this, we:

  • enable the automatic flow of data into the analytics platform,
  • support accurate decision-making based on a complete picture,
  • eliminate errors caused by data duplication,
  • accelerate anomaly and risk detection,
  • provide the foundation for further stages of AI implementation.


When needed, we also create dedicated data visualizations and support our clients in the continued development of their analytics environment – through training and consulting services.

What do we do for manufacturing companies?

Custom Software Icon
Custom Software

We create dedicated solutions that support the automation and digitisation of internal and external processes. From business analysis to implementation.

Data Management

We provide strategic consulting, design, and implement data architectures (on-premises, cloud, hybrid).

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Advanced AI techniques and implementation

Explainable Artificial Intelligence (XAI – Explainable AI), recommendation systems, MLOps – implementation, monitoring, ethics, and responsibility in AI.

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Data Exploration and Preparation

Data processing, data cleaning, feature engineering, dimensionality reduction, multivariate analysis.

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Statistics and Data Analysis

Descriptive statistics, statistical inference, time series analysis, extrapolation and interpolation.

Machine Learning and Deep Learning

Machine Learning & Deep Learning – supervised and unsupervised learning, classification, prediction, segmentation and clustering, machine algorithms, neural networks and their architectures, mathematical and probabilistic modeling.

“Already during the initial talks, 3Soft representatives offered possible solutions and recommendations (…), and then implemented the project as agreed. It was very important to us that the experts from 3Soft approached our processes in a fully flexible manner, and the involvement of people on our side (…) was minimal – it mainly came down to making key decisions and clarifying any doubts.”

Michał Lazarowicz

Acting Reporting Systems and BI Manager at Volkswagen Group Polska

Pracownik w kasku ochronnym i niebieskim uniformie przemysłowym stoi w hali produkcyjnej, trzymając dokument w ręku.

Manufacturing sector on AI

Hopes go hand in hand with concerns

64%

of manufacturing companies plan to significantly increase spending on AI solutions over the next 2 years.*


Main concerns related to implementation include:

  • Maintaining cybersecurity standards
  • Impact on sustainable development (e.g., energy consumption in data centers)
  • Lack of transparency in understanding the benefits and technologies

*According to the NTT Data Global GenAI Report, 2025

Trzech pracowników w laboratorium przemysłowym analizuje dane na laptopie, stojąc przy stanowisku produkcyjnym.

Using Gen AI in an on-premises or hybrid model eliminates the risk of data leakage.

This approach ensures complete security and control over data, while delivering precise real-time recommendations.

01
Protection of intellectual property and data

Safeguarding business know-how and internal data security

02
Cost predictability

Predictable long-term costs and stable expenses during scaling

03
Personalized LLM solutions

Training models tailored to the organization’s context

The key to success is choosing the right
infrastructure for use cases

Solutions that deliver value

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3Chat

The solution enables interaction with the company’s knowledge base – it provides instant answers to questions about internal procedures, policies, or regulations – even in the case of complex queries.

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DocMiner

A solution designed for call centers. It converts speech to text during a consultant’s conversation with a customer. When the application detects a specific keyword, it displays the consultant with an appropriate instruction or message on the screen – tailored to the context of the conversation.

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DataPeer

The solution enables the extraction of dispersed data from PDF documents and transforms it into a structured, transparent format – data that can later be used to power machine learning models and other GenAI-based solutions.

Numbers speak for themselves

LLM on-prem
LLM on cloud

0.5
2.6

Contact us today!

Join us in a world based on data
and automated processes

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