Data is Supreme

- Sponsored Content -

StarDox is an advanced AI and machine learning tool, developed by Stargo, resulting in high efficiencies, high margins, and an improved business conversion, addressing the freight, logistics, and supply chain industries. The company founder Joel Sellam reveals how this will be achieved, what the implications will be, and where the company is heading in the near future

Extracting unstructured data from all document formats, including free text, converting it into structured data, and turning manual processes into automated ones – this is the vision of Stargo. The company was founded by Joel Sellam in late 2016, five years later the company is employing 40 people and up to date has raised 35 million USD, leveraging advanced artificial intelligence technologies, Stargo has overcome major technical and computational challenges. Today, its AI engine is able to extract, structure, standardize, and enrich any type of text and files, including PDFs, Excel documents, and emails with attachments, in a fully automated manner within seconds. This information can then be seamlessly integrated into any ERP, TMS, or financial systems, enabling the freight, logistics, and supply chain industries to digitize and automate their processes.

"Automation enables the company to more accurately and consistently monitor its operations and receive accurate analysis in real-time".

"This is a great achievement. Only a few technology companies around the world can do this today – and I'm proud that our technology and solution are considered as a leading one, in this vertical", says Joel. "Now, our customers can process documents efficiently, saving a lot of time and money. The system is cloud-based, and the implementation is quick and easy. We are bringing full automation, significantly impacting on improvements, efficiencies, and profitability. Manual processes rely on skilled personnel – therefore are costly. The added value StarDox can bring, is significant, not just to one company or another, but to the entire industry, with different opportunities for growth. To date, Stargo works with multi-billion-dollar global corporations. Upon the proof-of-concept processes, our customers have seen major improved results, thereafter contracts were signed. Full production is scheduled for early 2023. 2022 wrapped up as a year with two major achievements: our ability to develop full automation and reach a high level of accuracy in data extraction as well as our breakout into the global market, with the ability to influence improved automation, digitize processes, in leading companies".

"The implementation of high-quality structured data will lead to increased automation and ultimately generate revenue through improved data value. This represents numerous opportunities for growth".

The goal: to enhance the value of organizations

"The implementation of high-quality structured data will lead to increased automation and ultimately generate revenue through improved data value. This represents numerous opportunities for growth".

Joel is an entrepreneur with extensive experience in logistics and the supply chain for over two decades now. Among other positions, he served as a director and CEO at various logistics companies. Throughout his career, he conducted most of his work at various international locations. When asked about the defining moment of his career, he replied that was the shift from traditional logistics and supply chain to the advanced technology world. "That was certainly significant for me. I was driven by the desire to use automation and optimization to improve the organization's processes, particularly regarding price optimization, by using artificial intelligence, and the ability to process large amounts of data through the cloud. Not too long ago, data was not considered a significant challenge for organizations, but now it is considered essential for success in the business and industrial sectors. This realization played a major role in my own transformation and led me to the conclusion that it was the right time to make the change".

Q: Do you believe that the company's work has the potential to have a global impact?

"Our aim is not to revolutionize the world, but to provide organizations with significant additional value through increased efficiencies, improved data accuracy, and increased profits. This will directly influence growth in customer numbers, allow for a focus on added value for customers, provide more opportunities for employee training as logistics and shipping consultants, and reduce the need for manual office work. The industry will become more digital".

As an example, Joel cites a billion-dollar international shipping company that until recently required hundreds of employees to manually input data into information systems. The implementation of Stargo's system has allowed a significant portion of the organization's staff to be reassigned to other tasks, providing the company with tremendous added value. "Automation enables the company to more accurately and consistently monitor its operations and receive accurate analysis in real-time. The employees have been freed to serve the customers more effectively and intensely", he says. "With our AI tool, we achieve full automation, resulting in a significant increase in efficiencies".

Q: What major challenges has the logistics field faced in recent years?

"The impact of COVID-19 has been significant, leading to drastic changes in the market. During the pandemic, there were steep price increases and difficulties in securing shipping space as deliveries became very unavailable. The market has now returned to normal, and prices have returned to pre-COVID levels. Companies are seeking ways to streamline their operations. This represents an opportunity for us to assist them in achieving that".

Q: What are the guidelines you follow during routine times and crisis management?

"During normal operations, I give the management team the authority and resources they need to make decisions and guide the company forward. We are fortunate to have highly skilled and talented individuals on our team. We also regularly engage with external organizations to gain new perspectives and insights, which helps us improve our performance. During times of crisis, it's important to adopt a flexible and innovative mindset at all levels of the organization. This includes involving employees at all levels, from junior developers to the chief development officer, in think tank sessions where they can think outside the box, challenge fixed patterns, and come up with alternative approaches. This is especially crucial for startups, which often face a range of crises, from fundraising to technological challenges".

Q: What is your vision for the company's long-term future?

"To enable the management team and all employees to successfully guide the company's operations now and in the future, we have assembled a highly competent team of professionals. Our company culture is outstanding, and our employees have a strong sense of teamwork. Stargo plans to expand into new market sectors such as insurance and finance, and our top priority is to make Stargo a company that significantly improves processes and increases our customers' profits.".

ID

Joel Sellam, CEO and founder of Stargo

Founded in: October 2016

Field: A deep tech company specializing in the worlds of artificial intelligence, including deep learning, machine learning, and reinforced learning.

Industry: Freight, logistics, and supply chain.

Solution: The company specializes in extracting unstructured data and converting it into structured and enriched data, as well as calculating optimal prices for all freight, logistics, and supply chain processes.

Innovation: Multiple layers of artificial intelligence and machine learning allow to handle an unlimited number of formats and free text, resulting in fast calculations, high accuracy, and significant financial savings for organizations.

Motto: Turning data into revenues.

- Sponsored Content -