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  • Fabric: nova plataforma de análise de dados
1 Junho 2023

Fabric: nova plataforma de análise de dados

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  • Knowledge Centre
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22 February 2024

Industry

Industry

A smarter, more agile and profitable organisation .

In the industrial sector, companies face the constant challenge of increasing quality and production capacity while reducing costs and increasing profitability, speed and agility. Data Analytics and Artificial Intelligence solutions play a fundamental role in creating more innovative and efficient organisations that can adapt and operate at global scale. 

Today, companies are increasingly digital and automated and technological solutions take Industry 4.0 to a new level in terms of innovation and the production and delivery of products. 

Take full control of production, quality, development and logistics, involving stakeholders (suppliers, employees or customers), and production processes. Obtaining business-critical data and generating accurate insights enable the right decisions to be made at the right time. 

The Industry 4.0 Market was valued at US$114.3 billion in 2023 and is poised to witness more than 20% CAGR from 2024 to 2032. (Global Market Insights)

What we do

With an AI solution, you can predict faults in industrial equipment, enabling the implementation of preventive maintenance and avoiding unplanned downtime.

AI solutions can monitor and optimise energy consumption in industrial facilities, contributing to cost reduction and more sustainable practices.

AI solutions improve supply chain management by optimising logistics, forecasting demand and reducing complexity in stock management.

The implementation of AI fosters innovation, allowing the development of new processes, products and business models in the industry, driving the continuous evolution of the sector.

Benefits

Integrated management

Manage the entire production cycle in real time, from the factory, through the orders to the customer. Collect and integrate data from internal and external sources to better understand the market and the customer.

Process automation

Automate production lines with Machine Learning techniques to increase productivity and reduce errors. In addition, optimise investments made, increase efficiency and make more confident business decisions.

Optimising operations

Control inventory, increase productivity and develop budgets that incorporate production, operations, sales and financial data for effective forecasting and planning.

Cost reduction

Improve operational efficiency and reduce costs by analysing profits and losses. Use Artificial Intelligence solutions to predict demand and manage stock, avoiding waste and unnecessary warehouse costs.

Transparency and rigour

Evaluate supplier performance to negotiate better prices, guaranteeing timely deliveries and maintaining high quality standards. Centralise data, automate internal processes and visualise the entire production chain in real time and accurately.

Better financial management

Strengthen financial management to improve profit margins, reduce internal costs and gain a 360-degree view of your organisation's financial health.

Business agility

Visualise all relevant KPIs, together with alerts on any changes to the data, to achieve greater business agility. Easily identify risk situations and detect anomalies to minimise their impact.

Digital business models

Develop greater customer knowledge and offer more personalised experiences through a 24/7 voice assistant or chatbot. Manage complaints efficiently and identify market trends for a more effective strategy.

Clients

Cliente 1
Cliente 2
Cliente 3

 

 

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