Tag Archives: predictive analytics

Transmetrics AI solutions to be used by DB Schenker in Bulgaria to calculate volumes, goods flow, and the rationality of land connections

SOFIA, Bulgaria, 25-Jan-2022 — /EPR INTERNET NEWS/ — Transmetrics, a state-of-the-art AI platform developed exclusively for the supply chain, announces today that their artificial intelligence (AI) algorithms have been employed by DB Schenker, a global leading logistics provider, to adopt a new approach for the leader’s domestic land transport in Bulgaria. One of the key aspects of the project was achieving faster transit times for groupage shipments and improved vehicle utilization.

This significant change in the company’s Bulgarian setup successfully involves AI methods such as neural networks, Bayesian models, and stochastic optimization. In addition, the implementation of modern processes has been carefully developed to meet ever-growing customer expectations and to benefit the supply chains within the country and beyond. The changes involve new international connections as the company’s branch office in Sevlievo, North Central Bulgaria, becomes a transportation hub for the country and several European and Caucasus trade lanes.

In order to achieve that, Transmetrics and DB Schenker worked closely together to configure multiple network scenarios and run various ‘what-if’ simulations. Based on different demand growth projections and various network parameters, the powerful AI algorithms could measure the efficiency and resilience of numerous network setups’. Comparing these, the project teams identified the best possible way to adjust the network infrastructure and the most optimal linehaul plan.

“This project is a solid milestone for Transmetrics as it ensures that our proprietary AI algorithms can provide the right tools to power up strategic logistics planning. With ever-increasing demand, it is important to rely on data-driven business decisions, and we are thankful to DB Schenker for the opportunity to work together on such an exciting project”, adds Dimitar Pavlov, Head of Business Development at Transmetrics.

“We are confident that by completing this project, using AI and new simulations, and taking into consideration the requirements of the market, we have significantly improved our network setup in Bulgaria,” says Zoran Lazoroski, Managing Director of DB Schenker in Bulgaria and North Macedonia. “We have optimized our internal traffic and domestic lines to be much more efficient, in many different aspects, including reducing our ecological footprint.”

About Transmetrics
A leading provider of AI solutions for the logistics industry, Transmetrics optimizes transport planning by leveraging the power of predictive analytics and machine learning. Transmetrics combines the strengths of humans with those of AI, ensuring the highest operational benefits, and reducing the environmental impact of logistics. Its unique approach analyzes, models, and predicts transport flows with very high accuracy. The unrivaled advantage comes from having strong experience in both the technical (Big Data and Predictive Analytics) and domain (Transport and Logistics) areas. Its products have brought significant benefits to the top-tier logistics companies worldwide that have experienced an up to 25% reduction in transport costs while increasing their fleet utilization up to 14% and maintaining high service levels.

About DB Schenker and DB Schenker in Bulgaria
With around 74,200 employees at more than 2,100 locations in over 130 countries, DB Schenker is one of the world’s leading logistics providers. The organization in Bulgaria, Schenker EOOD, operates since 1993 and employs over 340 people at seven locations in the country with logistical and warehousing capacities of more than 35000 square meters. The company offers land, air, and ocean transportation services, as well as comprehensive solutions for logistics and global supply chain management from a single source.

SOURCE: EuropaWire

Transmetrics’ AI-powered demand forecasting and predictive optimization platform deployed by Egyptian shipping company Transmar

CAIRO, Egypt / AMSTERDAM, The Netherlands, 31-Mar-2021 — /EPR INTERNET NEWS/ — The ‘AI platform for logistics’, as Transmetrics is often referred to, is successfully streamlining operations at Transmar, a leading carrier of containerized cargo between Egypt and its key partners in the region. Transmetrics’ demand forecasting and predictive optimization platform is powered by artificial intelligence and machine learning algorithms.

With four decades of experience and a strong operational presence in Egypt, KSA, UAE and Sudan, Transmar has built a solid reputation in the market, founded on family values that drive the company’s ambition to offer the best in class service to its customers. Transmar owns and operates a large fleet of both dry and refrigerated containers, serves thousands of customers, and moves hundreds of commodities throughout the Middle East.

“We strongly believe in the power of Data. Transmetrics’ AI solution helps us leverage our 4 decades of operational experience, to make decisions both faster and smarter. As a regionally focused carrier we are more exposed to volatility. We’re excited about the capabilities Transmetrics will provide by helping see up to 12 weeks into the future, ensuring we have optimum planning and repositioning plans” said Ahmed el Ahwal, Commercial Manager at Transmar. In a recent study, the Boston Consulting Group (BCG) estimates that repositioning empty containers in the shipping industry costs €13 to 17 billion per year (US$14 – 19 billion), which adds up to 8% of a shipping line’s operating costs.

Transmetrics software provides daily rolling AI-driven forecasts for the next 10 to 12 weeks based on the cleansed historical data and relevant external factors influencing the demand. The planning and system optimization tools suggest an optimal and actionable plan for the repositioning of empty containers as well as storage for the next 12 weeks. This also takes into account all the related costs. Stevedoring, gate costs, etc. as well as other variables, and business constraints. The system is equipped to consider repair and maintenance as cost variables which is now work in progress and being co-developed with Transmar.

“We are thrilled to announce this new partnership with Transmar. It goes to show that the AI revolution in logistics is happening worldwide. I look forward to the results we will achieve together with the great team at Transmar” said Jon Fath, CEO of Transmetrics. “This requires deep knowledge of logistics processes because it is still a very hands-on business. Big Data methods, which are used in our product, support our client’s team in finding smarter ways to reposition their assets so that the Transmar local agencies have the right amount containers available when they need it.“

“Transmetrics’ solution helped our team to more accurately allocate our assets. Its monitoring tools and automated forecast result in improved turntime of our assets. Actually, it is a Double Win: our customers benefit from even better services and our team gets state-of-the-art support from AI,” El Ahwal said.

Transmetrics and Transmar also identified a number of next steps to further increase the benefits of Transmetrics solutions such as cabotage management functionality and a management dashboard. The dashboard will include cost reporting and is expected to show how the supply chain will look like for the next 3 months due to its predictive capabilities. “After implementation, Transmetrics is still giving us very professional and pleasant customer service, being open for discussions on product enhancements and being always available for questions and corrections on the data or on the logic where it is needed”, said Hossam Houta, Asset Manager at Transmar.

SOURCE: EuropaWire