Genius Warning
Anticipate non-conformities using Artificial Intelligence and embrace true continuous improvement. An app dedicated to operations personnel and universal quality function.
Business challenge
What are the causes that lead to non-compliance?
How should I review my process with a view to having fewer defects?
What parameters and measurements do I need to monitor in order to have an early indication of a problem?
How can I set up the machines to minimise waste?
An effective solution to your needs
The issue of product quality is fundamental for the manufacturing sector: typical criticalities often occur in companies, which involve the continuous management of emergencies and waste, and preventive and corrective actions prove ineffective.
Manufacturing companies are therefore failing to maximise the impact of continuous improvement initiatives and tools, such as Kaizen and Lean. Optimising the search for the root causes of compliance and process problems with the help of Advanced Analytics allows the necessary counter-moves for improvement to be activated in advance.
Thanks to Artificial Intelligence and data availability, it is possible to make the process of root cause analysis more efficient, both by increasing speed and responsiveness, and by increasing effectiveness and precision. Today, in fact, root causes are no longer dealt with a posteriori, with the waste and inefficiencies that this entails, but can even be predicted and avoided. That is why we speak of predictive quality: by means of AI it is possible to search for correlations underlying criticalities.
Unique benefits of Genius Warning
Identify potential problems and non-conformities before they arise by harnessing advanced data usage.
Increase the potential of quality controls, enabling access to information that is otherwise unavailable and without which problems would be impossible to resolve. Technology that boosts human quality control.
Areas of application
Agri-food
Electronics
Ceramics
Electronics
Electronics
Chemical and pharmaceutical
Mass retail
Metallurgy
Electronics
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Processes
Operations
Quality
Customer Care/Aftersales
The benefits of choosing us
- Reduction of analysis times by up to 80%;
- more and better insights thanks to Artificial Intelligence;
- predictability allows process problems and non-conformities to be resolved in advance;
- it is an integrated application where data from ERP, PLM, CRM, MES and quality converge;
- it gives specific indications of which production parameters and machine settings to intervene on;
- it enables the company to carry all continuous improvement initiatives into the future.
Successful cases
Agri-food manufacturing
We worked with a leading Italian company in the field of bakery products and pasta, analysing several months of processing on various batches of wheat, following each step - from the storage of the raw wheat, to the baths, to the hulling and milling.
We were able to identify the most impactful events in terms of protein yield and loss on two mills located at the same site, but with different exposure conditions: we extracted a model capable of explaining more than 80% of the variability found in protein measurement, guiding future choices and making the entire process efficient.
Metallurgy manufacturing
In a company that produces steel coils, we intervened in the rolling production line by researching the root causes of any product non-conformities.
Starting with a pilot line, we identified which sensors would provide useful information to the collection by flanking the diagnostic activity with predictive models that anticipate faults with an accuracy of 80%.
Financial services
The company in question has made the process of onboarding and managing non-performing loans (NPLs) efficient. Hyperdoc analyses files with PDFs and photographs, classifying them by category or content and extracting useful information for the process, including: companies involved, tax codes, amounts, property locations, etc. With 97% accuracy, this results in great efficiency and savings in archiving and document searching.