The European leader in temperature-controlled transport and logistics services for food products has entrusted the optimization of its transport plans to Dcbrain. STEF relied on DCbrain's hybrid Artificial Intelligence technology: "intuitive and easy to implement at the heart of the system ...
The European leader in temperature-controlled transport and logistics services for food products has entrusted the optimization of its transport plans to Dcbrain. Objective: to digitalize the organization and optimize and reduce the carbon footprint of its activities.
STEF relied on DCbrain's hybrid Artificial Intelligence technology: "intuitive and easy to implement at the heart of the information system" explains STEF.
The deployment of INES (Intelligent Network Solution), DCbrain's Artificial Intelligence solution "understands and optimizes physical networks". Integrated into its information system, INES technology allows STEF to rationalize and optimize its transport plans and the activities of its network of agencies.
"With DCbrain, we have carried out a very convincing pilot project which has encouraged us to deploy this technology in all our fresh transport subsidiaries in France.
Thanks to INES, we are aiming for significant gains in terms of service quality. We will also reduce our carbon footprint, thanks to the optimization of our transport plans and dedicated material resources.
We will also be more reactive in adapting our operational patterns to variations in activity. This collaboration is perfectly in line with our objectives to make sustainable development a real performance driver," said Damien Chapotot, Deputy Managing Director of STEF Transport.
Accelerating digital transformation
"In the age of data, STEF has perfectly understood the benefits of Artificial Intelligence and Machine Learning to industrialize and accelerate its digital transformation. With INES, STEF gains agility, optimizes its business practices and operational efficiency.
Our SaaS solution is a business operational tool that meets the needs of field teams and federates all stakeholders in the company. Its real-time analysis and recommendation functionalities have demonstrated their added value in the short term (optimized transport plans and truck movements, less CO2 emissions).
In the medium and long term, INES will allow STEF to rationalize its material resources and better manage/plan its network activity" comments Arnaud de Moissac, CEO and co-founder of DCbrain.
To analyze the data from its networks and convert them into business decisions, STEF uses databases and data sets in the form of relational graphs that allow it to create digital doubles (dynamic and digital model of the physical network) and to integrate the complexity of a network.
STEF can thus simulate its transport plans (global and agency by agency), predict events, identify anomalies and make optimization recommendations in real time.