Healthcare & Pharma
Healthcare & Pharma
Machine learning for public and private tenders
The client is a company operating in the fields of medical imaging, laboratory diagnostics and IT solutions for healthcare facilities. In close collaboration with the client, we have created a machine learning algorithm able to simplify and improve the preparation phase to public and private tenders, setting a pre-competitive scenario.
- Description and benefits
In order to determine the supply of laboratory diagnostic devices, public entities (such as hospitals and ASLs) and private operators usually launch competitive purchasing procedures. To participate in such tenders, suppliers must prepare a very complex and articulated technical and economic proposal. This activity involves a considerable commitment of qualified resources of the company.
Our team has developed a software that drastically reduces the time required to prepare the proposal, facilitating access to the necessary information. Our solution is fundamental to support the analysis of competitors' positioning and is based on machine learning algorithms applied to data from past tenders, therefore enabling the construction of a pre-competitive scenario.
Reduced workload
Considerable reduction in the effort required for these activities (- 1.5 Full Time Equivalent per year)
Better management
Thanks to these solutions, it is possible to participate in several tenders at the same time
Quick access
Easy consultation of previously unstructured datas that are difficult to find
Deepening case study
A combination of three innovative technologies
- OCR (Optical Character Recognition) for extracting the information contained in documents.
- NLP (Natural Language Processing) for text analysis.
- Search Engine to support intelligent text search.
We have concentrated these technologies in a single software capable of loading documents for tenders and automatically extracting and classifying the information contained through algorithms.
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