Transporeon rolls out new tools

PAST, PRESENT AND FUTURE

SOFTWARE • FURTHER CEMENTING ITS POSITION AS A LEADING SOFTWAREAS-A-SERVICE PROVIDER, TRANSPOREON PRESENTED ITS NEW DATA-DRIVEN SOLUTIONS AT TRANSPORT LOGISTIC

THREE NEW SOLUTIONS from Transporeon – Offer Retrospect, Offer Prediction and Connecting Load Agent – have been designed to support shippers on a daily basis by integrating objective criteria into the transport assignment and execution processes, ultimately saving time and money. The product innovations work by making anonymised use of the data available on the Transporeon platform, evaluating it statistically and leveraging big data to make forecasts through predictive analytics.

“Our data-driven product suite provides shippers with comprehensive market transparency,” says Thomas Einsiedler, chief product officer at Transporeon. “They receive objective information and can make a safer, better decision on whether to assign a transport contract at a fixed rate to a contracted carrier or put it out to spot-market tender on the Transporeon platform. As they no longer need to undertake time-consuming market research, dispatchers at the shipping company can save time and quickly make the best possible decision.”

Transporeon currently connects a global network of more than 1,200 companies with nearly 95,000 transport service providers. There are over 150,000 users in more than 100 countries employing these web-based services in 25 languages, providing a substantial amount of data for the new systems to analyse.

ANALYSIS, AI AND CARRIERS The three systems work together to provide a complete service that delivers the answers shippers need. Offer Retrospect accesses anonymised data about platform-wide spotmarket orders that are processed each month through Transporeon’s platform. Whenever a dispatcher wishes to place a transport order, a dialogue window provides information on the average number of offers that global shippers have received from carriers in the past 14 days for corresponding transports. This is then further filtered based on the loading and unloading point and the specific shipper’s industry.

Following this, Offer Prediction uses artificial intelligence (AI) to forecast the probable number of offers for each transport assignment on the spot market. The solution is crafted through algorithms where the AI is able to learn from the comprehensive anonymised information about completed transports stored on the Transporeon platform. Aside from the loading and unloading points and the specific industry, the AI model evaluates information of the loading and unloading date and time, the transport route, the type of vehicle and load features – such as dangerous goods – and the number of customs clearances.

“The time at which a transport is placed on the spot market also influences how many carriers submit an offer. This information is therefore also included in the forecast”, adds Einsiedler.

Finally, the Connecting Load Agent feature is designed to give shippers a better overview of the market and increases their chance of getting more offers for transports on the spot market. Once shippers start the process for a new transport, Connecting Load Agent automatically compares the submitted transport data with carriers that already have confirmed a delivery for the same day within a defined radius. This allows the agent to look for any matches with the shipper’s transport and, if a match is found, the shipper is automatically informed and Transporeon recommends spot-market transport allocation. Should the shipper follow this recommendation, the system asks the matched carriers to submit offers.

“The new function is a win-win situation for everyone involved: shippers can find suitable transport service providers more easily and, ideally, reduce their transport costs. Carriers avoid empty runs and optimise the route planning of their trucks”, concludes Einsiedler. HCB www.transporeon-group.com