NileDutch, a container shipping line, has contracted Transmetrics to implement predictive optimisation software in order to reduce the cost of its empty container logistics by 10 to 15%.
Transmetrics is a tech startup which provides logistics solutions around areas such as demand forecasting and predictive optimisation.
“With machine learning and intelligent algorithms, we now want to revolutionize how empty container handling and relocation is organized. Our envisioned goal for the project with NileDutch is to reduce the cost of empty container logistics by 10-15 percent,” says Anna Shaposhnikova, CCO and co-founder of Transmetrics.
With the start of the cooperation, Transmetrics also will launch its new product AssetMetrics. AssetMetrics uses historical data of the shipping company and improves those data sets to the extent that the intelligent algorithm can produce reliable predictions. In earlier test projects, Transmetrics was able to increase data quality by around 75% during this enrichment process. Afterwards, the system creates a demand forecast model, which is then optimized by the algorithm. With its technology, Transmetrics was achieving 25% to 50% higher forecast accuracy than the in-house teams of their customers. This approach allows the rebalancing of assets across the whole NileDutch network at minimal cost. It takes into account maintenance costs, the future demand at each location, the cost to reposition and the assets that will be returned. AssetMetrics will be connected to the TMS-system of NileDutch to secure a constant exchange of information.
Carlo Zallberg, Global Director Logistics at NileDutch, commented: “We had been looking for a partner who could help us streamline our empty container flows for a long time. There are different IT solutions on the market, but we chose Transmetrics over other providers because they proved their technical expertise and also demonstrated a deep knowledge of the logistics industry and container shipping in particular, which is very difficult to find.”
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