Indonesian Palm Oil News (IPO News), Geneva, Switzerland — As global commodity markets become increasingly dynamic, data is no longer simply a collection of numbers. It has become an important foundation for companies to understand market developments, assess risks, formulate buying and selling strategies, and make informed business decisions.
This is the space addressed by DNEXT Intelligence SA, a Swiss based company developing agricultural commodity market intelligence solutions by combining data, commodity analysis and digital technology.
Founded in Geneva in 2020, DNEXT positions itself as an independent, privately owned company developed by its founders and employees. The company focuses on agricultural commodity intelligence, including supply and demand, prices, production, trade flows, weather and crop conditions.
Managing Thousands of Datasets
One of DNEXT’s key strengths is its ability to collect, process and integrate data from multiple sources and turn it into information that can be used by industry players. In communication with Indonesian Palm Oil News (IPO NEWS), DNEXT stated that it currently manages more than 2,300 datasets, covering 21 countries and supported by seven offices, including Indonesia.
This scale illustrates how DNEXT is building an information network that is not focused on a single market, but is designed to monitor commodity developments across different regions. Through its platform, DNEXT provides functions ranging from data management, data querying, commodity trade flows, analysis and dashboarding. Data can be accessed through the platform or API for users’ analytical needs.
Turning Data into Market Intelligence
DNEXT goes beyond simply collecting data. The company develops that data into market intelligence designed to help industry players understand changing market conditions. Its platform covers information on supply and demand, crop conditions, weather, prices and commodity trade flows. Through TradeFlow, users can monitor how agricultural products are traded and consumed across different countries, including changes in demand patterns and market developments.
DNEXT also provides customs and lineups information as well as market analysis extending up to 12 months ahead. Such data can be exported and integrated into strategic analysis and economic modelling.
Expertise in Oilseeds and Vegetable Oils
For the palm oil industry, DNEXT is particularly relevant because the company has expertise in oilseeds and vegetable oils. One of its key figures is Bastien Lambert, Co Founder & Senior Analyst at DNEXT, who has experience in commodity trading and now focuses on oilseeds and vegetable oils.
Meanwhile, Guillaume Goudy, Co-Founder & CEO of DNEXT, has experience as a trader and research lead at several major commodity companies, including Bunge, Louis Dreyfus Company, Noble and BTG. This combination demonstrates DNEXT’s approach of bringing together practical commodity-market experience with technology and data science.
Serving Traders, Biofuel Producers and Financial Institutions
DNEXT develops solutions for a broad range of sectors that depend on commodity intelligence, including commodity trading houses, food manufacturers, biofuel producers, farmers and financial institutions. For trading companies, market intelligence can help them understand supply and demand, pricing trends, regulatory developments and market opportunities.
For biofuel producers, information on feedstock availability and supply demand dynamics can support procurement and production planning. For food companies, commodity data can help them understand market trends, procurement requirements and inventory management.
Technology to Improve Forecasting
DNEXT is also developing technology aimed at improving forecasting in agricultural commodity markets. One of its projects, RESOUND, received support from the Swiss Innovation Agency, Innosuisse. The project was developed together with Swiss higher-education institutions and applies machine learning and transformer models to improve the quality of information used in agricultural commodity market forecasting.
The initiative reflects DNEXT’s effort to move beyond historical data by developing technology capable of working with complex datasets and different levels of data reliability.
Highly Relevant to Indonesia’s Palm Oil Industry
For Indonesia’s palm oil industry, access to market intelligence is becoming increasingly important because the CPO market does not operate in isolation. Movements in other vegetable oils, production in major producing countries, changing consumption patterns, weather, international trade, energy policies and biodiesel developments can all influence market dynamics.
In such an environment, plantation companies, traders, refineries, biodiesel producers and financial institutions need information that can help them understand market changes more quickly, This is where DNEXT’s business model becomes particularly relevant.
By combining data, commodity expertise, trade flow analysis and technology, DNEXT seeks to help industry players transform large volumes of data into information that can support business decision making.
Creating Opportunities for Collaboration in Indonesia
DNEXT’s presence in Indonesia is also significant for the country’s commodity ecosystem. Indonesia is one of the world’s major centers for the palm oil industry and trade. A local presence can create greater opportunities to connect global market developments with conditions on the ground.
For an industry publication such as Indonesian Palm Oil News (IPO NEWS), DNEXT’s development also creates an opportunity to bring a different perspective to readers connecting global market intelligence with the real dynamics of Indonesia’s palm oil industry.
Going forward, collaboration through market outlooks, analyst interviews, data insights and discussions on vegetable oil markets could provide a bridge between Indonesian industry players and developments in global commodity markets.
Ultimately, DNEXT Intelligence highlights an important reality: in an increasingly complex commodity market, the ability to understand data is becoming an important part of understanding the future of business.
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