Trans­port optimi­za­tion

Success with standar­dized proce­dures

Each optimi­za­tion project is unique, the prere­qui­sites, requi­re­ments and expec­ta­tions are diffe­rent. Nevertheless, the approach and proce­dure of the project can be standar­dized. This enables us to achieve compa­rable results with minimal costs, reduced error suscep­ti­bi­lity and fast throughput times. Experi­ences from various projects are incor­po­rated into the standard.

Trust the facts

Trust your own data, create facts that reflect your own business. Key figures from other projects can help to identify outliers, but are never a substi­tute for the develop­ment of your own key figures, which in turn requires detailed analyses. Statis­tical methods are used to obtain infor­ma­tion from collected numerical data. An explo­ra­tory data analysis reveals corre­la­tions between diffe­rent varia­bles and displays them with key figures and (geo)graphic repre­sen­ta­tions.

IST Mapping of today’s tours as a basis for the compa­ra­tive baseline

The actual image is adjusted until the devia­tion of the data from the accoun­ting and the data in the simula­tion system is only a few percent. The Big Picture is accepted by the customer. The data and parame­ters deter­mined in this way are then used to calcu­late free planning as a baseline. The actual costs are used for calibra­tion and the costs of the baseline are used to compare the other scena­rios. Already in this process step, the first optimi­za­tion approa­ches and quick­wins are often shown.

Forming tactical and strategic scena­rios


With the help of a morpho­lo­gical box we repre­sent the influ­en­cing levers and their possible charac­te­ris­tics. The scena­rios to be calcu­lated are then deter­mined together with the customer. Experi­ence has shown that the calcu­la­tion results in turn yield findings which can lead to new oceano­graphy.

Detailed planning


If the final scenario has been found (eventually several), the final imple­men­ta­tion plan is created for this scenario. This provides you with a detailed basis for the imple­men­ta­tion of the optimi­za­tion project.

Consider forecasts and trends in the scena­rios

They face the challenge of having to decide today on invest­ments that will have conse­quences for their business over the next 5,10 or 20 years. We compile the relevant trends, for example as input and supple­ment to scena­rios. They quantify their impact on their planned project and simulate the impact in terms of time and cost.

The follo­wing topics can be analysed as examples:


  • Traffic: How does the sales volume in Switz­er­land and neigh­bou­ring countries develop on roads, railways and in the air?
  •  Vehicles: Which new vehicle concepts are avail­able at what time and which oppor­tu­nities and possi­bi­li­ties will open up for you?.
  • Colla­bo­ra­tive approa­ches: How do freight exchanges develop, for example, and how can they be quanti­ta­tively mapped in their concept?
  • Influ­ence of digita­li­sa­tion on logistics chains: Faster order proces­sing, perso­na­lised solutions, the Internet of things. RFID use.
  • Modern logistics concept­s­ncepts logis­ti­ques modernes: Trans­port bundling, green logistics, vehicle techno­lo­gies, etc.…..
  • Society: Change in consumer behaviour and other consumer expec­ta­tions.

You are looking for the optimal location for depots, wareh­ouses etc., we will calcu­late it.

Optimal locations for depots and wareh­ouses are crucial for efficient trans­port logistics. We carry out the location analysis according to your speci­fi­ca­tions and evaluate the impact of alter­na­tive storage and hub locations on costs. Logistics locations are the inter­face between customer and produc­tion on the one hand and the main leg on the other, forming the backbone of every trans­port network.

Predic­tive Analy­tics

Digital trans­for­ma­tion increa­singly deter­mines business processes in compa­nies and influ­ences their economic success. In all areas huge amounts of data are generated, which offer enormous possi­bi­li­ties and poten­tials. With Predic­tive Analy­tics we help you to convert this data into values, automate processes and thus start the digital trans­for­ma­tion.

Project examples:

  • Deter­mi­na­tion of the optimum emptying time of an under­floor container;
  • Deter­mi­na­tion of the optimal reple­nish­ment time for merchan­di­sing POS;
  • Calcu­la­tion of the optimal emptying routes.