the case study in a nutshell


Quality CoPilot Brochure

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Quality CoPilot is an AI Deviation Search Tool. In other words, it is an intelligent AI-based search engine for quality deviations that combines a straightforward and user-friendly interface with the capability for users to find similar historical deviations to a problem statements articulated in the naturale language. The goal is to become the only reliable tool for exploring the deviations of the past.


Facilitate problem investigation process

Boost compliance to problem
management standards

Streamline deviation search,
generation and analysis

Generate information rich data
for broader analysis

We tell you a story


Customer Profile

Amplifon S.p.A. is an Italian company that deals with the design, application and marketing of hearing aids. It is present in 29 countries and on all 5 continents, with more than 11,000 points of sale and around 16,000 employees and collaborators, and a turnover of 1.4 billion Euros. With the acquisition of GAES plant (Barcelona, Spain) in 2018, - has consolidated its worldwide leadership reaching a global market share of 11% of the retail hearing care market.



To design, validate and formalize a methodology in the Barcelona plant expandable to the whole EMEA region, with the following goals:

  • develop an earmolds integrated EMEA supply chain, capable of up to 600k earmolds per year;
  • reduce cost by 4.6 mEUR per year by improving sourcing and production effectiveness and efficiency, lowering the per full industrial cost from 13.9 to 10 EUR/unit;
  • maintain/improve current Service Level



We have developed from scratch a Digital Twin in order to:

  • simulate all possible future scenarios, obtaining precise calculation of lead times, service levels and saturations;
  • validate the re-layout/material flow hypothesis before any intervention;
  • find the optimal configuration in terms of allocated FTEs and shifts for any possible demand which yield maximal throughput.

We have also designed an OCR-based real-time digital traceability and jobs scheduling system, integrated with the existing ERP, for guaranteeing the optimal scenario in case of unpredictable demand and jobs priorities.



Customer profile

Our client is a global pharmaceutical company and stands as a biopharmaceutical group leader with a specialized focus on reproductive medicine, maternal health, gastroenterology, and urology.



  • Lots of unused data available in the form of PDF documents

  • Poor capabilities to search for past similar deviation with existing tools  (Trackwise)

  • Limited ability to analyse deviation reports and perform statistical analysis

  • Difficulty in initiating broader problem-solving activities for business process improvements


Our solution

The goal is to take similarity search to a whole new level.

  • A Gen-AI engine to extract information from unstructured documents and query data like a standard database

  • A Gen-AI engine to enable fast and accurate search and retrieval of deviation reports using natural language

  • A user interface to support Production and QA managers in performing statistical analysis over group of similar deviations or novelty detection

Want to know more?

Whether you have any questions or need more info, we would be happy to help!


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