Digital driving assistant in long-distance traffic

von Patrick Kinter | 08/03/2023

Digital driving assistant in long-distance traffic

Expert: Verena Gruber

Industry: Transport & Logistics

Area: Marketing & Sales

Increase the efficiency of your long-distance transport with our groundbreaking Digital Driving Assistant and significantly reduce your fuel consumption.

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[Challenge]

In the freight forwarding industry, fuel consumption is one of the biggest levers for profitability. The driving style of the truck driver has a considerable influence on consumption. However, not all general tips for fuel-efficient driving are equally suitable, as they are not adapted to individual driving situations. The challenge is therefore to provide specific instructions for optimised driving based on actual driving situations and the driver's prior knowledge.

[Solution]

To meet this challenge, we rely on an innovative solution based on data analysis and artificial intelligence. By analysing telematics data in real time, important information such as topography, driving profile and load spectrum is collected. With the help of a special algorithm, the optimal driving style is calculated and forwarded directly to the driver via a user-friendly app.

Through the use of advanced technology and intelligent algorithms, we can provide customised driving assistance. The algorithm not only takes into account the specific driving situations, but also the individual driving behaviour of the truck driver. As a result, the driving recommendations are precisely adapted to the driver's level in order to achieve optimal efficiency.

[Result]

The implementation of our solution has brought significant benefits for the haulage companies. Firstly, it provides a transparent overview of the driving efficiency of the entire fleet as well as of each individual driver. The telematics data provides detailed information on fuel consumption, speed, braking behaviour and other relevant parameters. This enables haulage companies to identify weak points and implement targeted training measures for their drivers.

In addition, the optimised driving style of truck drivers leads to significant savings in fuel consumption. Through the customised recommendations of the "Digital Driving Assistant", drivers can continuously improve their driving behaviour and thus increase efficiency. This has a positive impact on operating costs and contributes to sustainable business development.

Our company is at your side as an experienced partner in the field of data analysis and artificial intelligence. With our innovative solution, we can make your fleet more efficient and profitable. Contact us to find out more about our "Digital Driving Assistant

Curious now? Let us show you what sets us apart from other companies and how we can help you achieve your goals.

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Your expert

Verena Gruber | Principal Key Account Manager | Alexander Thamm GmbH

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Order forecasts for spare parts orders

von Patrick Kinter | 07/03/2023

Order forecasts for spare parts orders

Using machine learning techniques, a proof of concept was carried out for the creation of order forecasts for volume and express orders of several warehouse areas.

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Successful proof of concept and foundation stone for further analyses within 8 weeks

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Preparation of 7 different data sources

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Calculation of over 20 individual models

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Forecast accuracies up to 91%

Challenge

For a logistics company, it is of interest to be able to predict the spare parts orders for volume and express orders in the near future for better control.
A detailed order forecast is to be used, among other things, to derive the personnel requirements.

Solution

Data selection, exploration and preparation of 7 different data sources. Creation of meaningful influencing variables (features) to predict spare parts orders. Calculation of a GBM for each storage area for express orders and a GBM for volume orders.
Produce forecasts on a daily basis for 20 days as well as on time points for 2 days in advance.

Result

Expansion of the forecasts in terms of quality and granularity. Consideration of important influencing variables (e.g. public holidays). Derivation of staffing requirements possible on the basis of the forecasts.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Contact our experts

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Establishment of data governance best practices and creation of a data catalogue

von Patrick Kinter | 06/03/2023

Establishment of data governance best practices and creation of a data catalogue

8 months of consulting, 11 data communities were set up, a group-wide data governance structure and a central data catalogue were established. and a central data catalogue were established.

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Establishment of data communities and data governance role holders

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Central data catalogue

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Coordinated guidelines

Challenge

Competitive pressure and the public demand a rapid digitalisation of a traditional company with more than 300,000 employees. The problem is the low transparency of already available data. In addition, there was no data strategy or data governance organisation to successfully accelerate digitisation.

Solution

Our experts helped develop a data strategy and data governance organisation aligned with corporate goals and provided assistance in setting up a group-wide data governance organisation. In addition, a binding corporate guideline for more data transparency was created and agreed upon. A central data catalogue to create more transparency brought light into the darkness.

Result

Establish data communities and data governance role holders in the business areas. Development and establishment of a central data catalogue. Coordinated policy for more data transparency.

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Contact our experts

Monitoring of changes in driving speed in DB long-distance traffic

von Patrick Kinter | 06/03/2023

Monitoring of changes in driving speed in DB long-distance traffic

In an interactive web application, GPS data and other data are used to display sections of long-distance traffic (FV) on which trains are travelling more slowly than usual.

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Slow speed points recognisable at a glance

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Focusing on the most important jobs possible

Challenge

In slow speed sections, FV trains may only run at reduced speed.
These therefore have a significant influence on the FV punctuality of Deutsche Bahn
Slow speed sections of high speed traffic (>160km/h) are not relevant to safety and therefore do not need to be recorded centrally
Due to this difficult data situation, there is a lack of transparency about the current operating situation and efficient management of punctuality is difficult.

Solution

Speed dips are determined from the GPS data of long-distance trains using an empirical approach
The identified route sections are visualised on a map and their relevance is determined based on the travel time loss from the operational data
An R-Shiny web application intersects the data with information from the network control centre and provides the content to a panel of experts

Result

The slow speed sections are compiled in a view
A focus on the most important places is possible on the basis of the travel time loss

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Contact our experts

Concept for sharing data from the cloud

von Patrick Kinter | 06/03/2023

Concept for sharing data from the cloud

In three months, a data sharing process was designed, agreed and a roadmap for implementation developed.

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Visualisation of the data sharing process

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Approved funding

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Defining a medium-term roadmap

Challenge

Group Executive Board has decided to implement a group-wide data strategy, measures and components for implementing the data strategy have not yet been developed
An essential measure of the data strategy is the establishment of a performant, future-proof data sharing process
There are numerous data silos in the group, data is not shared, data transparency is not practised.

Solution

Conception of target image and implementation plan of the data sharing process
Subdivision of the data sharing process into four sub-processes incl. detailed description
Involvement of all relevant bodies

Result

Visualisation of the data sharing process using Swimlanes
Approved funding to implement the data sharing process
Specification of a roadmap defined by Alexander Thamm GmbH for medium-term planning

Are you interested in your own use cases?

Challenge

An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.

Solution

There will be a interactive and Flexible application, including of different maps with two different views implemented.

Result

Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Contact our experts