Customer context
Our customer specializes in external commodity financing in Switzerland.
They have been entrusting us with their IT management for several years now.
The initial need
The main task of our customer’s business is to process and verify sensitive data on the various parties wishing to carry out transactions , in order to validate their liabilities.
Until now, this entire process has been handled manually. ” As a professional in the commodity finance sector, we are constantly looking for ways to optimize our processes and improve our efficiency,” says our customer .
In the age of automation and artificial intelligence, the question arose of automating this process.
We accepted the challenge and proposed a “proof of concept” to our customer.
With their green light, one of our developers has been working on the creation of this application for several months now.
“Proof of concept
Creation of an application toautomate the collection of information and research on the various players involved
before a financial transaction is validated. To do this, the application retrieves the documents linked to the transaction: invoice, quality certificate etc… The solution then analyzes this data to extract information on the people involved in the transactions (individuals or legal entities). It then connects to databases of European and American convictions. The people directly involved in these transactions can be read and scanned from the texts of documents or signatures. The application provides information in any language. Database scans can also be rerun regularly to check for changes (for example, ABC Petits Bateaux had no convictions in April 2024, but has had 5 since June 2024). Please note that it is mandatory to record the date between each scan for legal reasons (our customer must be able to prove that tests have been carried out).
Our resources
To develop this application, we used Azure OpenAI and Microsoft Power BI.
The flow created for the development of the application is as follows:
- Retrieve various commercial documents from the customer’s information system.
- Text data extraction using an OCR system (Azure Vision).
- Extraction of precise data: names of banks, boats, individuals, legal entities, etc.
- Ethical research on European/American convictions linked to this information.
- Save searches and re-run scans to track future developments.
Project start-up
V1 was launched in June 2024, with only the reading of documents.
In September 2024, we launched V2, which covers the entire process.
To date, our customer has been satisfied with the automation process, which frees up more time for other important tasks.
Customer testimonial
“The automation application developed by the Infologo team has significantly transformed our commodity finance process. Thanks to their AI solution, we have reduced administrative tasks and improved the accuracy of our analyses. This technology enables us to make faster, more informed decisions, while better managing risk. We are very pleased with the results and highly recommend Infologo for their expertise.”
If you, too, specialize in commodity trading and financing, this type of process can transform your business.
Join the industry leaders who are already optimizing their processes with innovative solutions, and get a head start in commodity financing.
Contact us today to find out more and revolutionize your approach to commodity trading, in complete security.
