Demand Forecast
Forecast the future transport needs of your customers reliably and at an early stage with data and AI technologies.
AI in Logistics
AI in Logistics
We help your company leverage data and AI in the logistics sector to optimize processes, improve supply chains, and identify new business models.
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Your experts for AI in Logistics
Why you should use AI in Logistics within your company
The world is currently undergoing an unprecedented transformation driven by the rise of artificial intelligence. AI enables companies across nearly all industries to respond more quickly to market changes, secure competitive advantages, and strengthen their capacity for innovation - especially in the logistics sector. Using AI in logistics offers your organization a wide range of benefits, including optimized supply chains, more efficient inventory management, and dynamic pricing.
Get tailored guidance from our experts on AI solutions for logistics and benefit from increased efficiency, reduced costs, and the development of new business models. Whether you need foundational consulting on data science and AI, ready-to-use solutions, or AI trainings and workshops, we help your company and your employees unlock the full potential of AI and leverage it effectively in logistics.
AI use cases in Logistics at a glance
Arrival Time Prediction
Predict and track the expected arrival time of transportation vehicles with data science and AI.
Predictive Maintenance
Identify maintenance needs and detect defects in your fleet early with the help of data science and AI in the logistics industry.
Quality Control
Determine automatically and in real time the quality of transport goods from goods receipt to delivery.
Intelligent Warehouse Management
Leverage AI in logistics to automate and improve manual processes in warehouse management.
Route Optimization
Optimize your transport routes and capacities based on data and AI based forecasts.
Utilization Forecast
Forecast the utilization of future transport capacities in order to be able to initiate measures at an early stage.
Fleet Monitoring
Gain visibility into your fleet by collecting and analyzing real-time telematics data.
Artificial Intelligence in Logistics: Optimize your Supply Chain with AI
A standout example of the transformative power of AI in logistics is its application within modern supply chains. By using advanced AI-driven logistics systems, you can monitor your supply chains in real time, detect deviations early, and respond faster to market changes. This enables more effective planning, reduces bottlenecks, and helps avoid delivery delays - an essential advantage in today’s fast-moving business environment.
Beyond that, AI makes intelligent inventory management possible. Sales data, demand forecasts, and seasonal fluctuations are continuously analyzed to keep stock levels perfectly aligned. The result: fewer excess inventories, lower costs, and a more resource-efficient logistics operation.
Ein wichtiger Einsatz von AI in der Supply Chain sind Forecastings und Logistik-Disposition. KI-Algorithmen analysieren historische Verkaufsdaten, Marktsegmentierungund externe Faktoren wie Wetterbedingungen, um genaue Vorhersagen über die zukünftige Nachfrage zu treffen. Dies ermöglicht eine proaktive Planung und reduziert das Risiko von Über- oder Unterbeständen. Durch die Integration von AI in die Supply Chain können Unternehmen ihre Ressourcen besser nutzen und ihre Reaktionsfähigkeit auf Marktveränderungen verbessern.
Ein weiteres spannendes Anwendungsgebiet von AI in der Supply Chain ist die Automatisierung von Prozessen. Von der Auftragsabwicklung über das Predictive Steering bis hin zur Preiselastizitätsberechnung – KI kann Unternehmen dabei unterstützen, manuelle Aufgaben zu automatisieren und dadurch die Effizienz zu steigern und Fehler zu minimieren. Diese Entwicklungen tragen maßgeblich dazu bei, die Wettbewerbsfähigkeit zu erhöhen und die Kundenzufriedenheit zu verbessern.
AI in Logistics: Forecasting, Route Optimization & Process Automation
Another key advantage of AI in the logistics industry lies in precise forecasting and the optimization of transport routes. Algorithms analyze historical data, traffic patterns, and external factors such as weather to reliably predict accurate arrival times and future demand. This enables proactive logistics planning that lowers costs and prevents overstocking or stockouts.
Additionally, AI logistics systems optimize transport routes, shorten travel times, and help reduce CO₂ emissions through lower fuel consumption. Manual processes - such as order handling or dispatch planning - can also be automated with AI in logistics. This intelligent automation boosts efficiency, reduces error rates, and strengthens your long-term competitiveness.
LLM Workshop and Inhouse Data Analysis for Experts
Our client wanted to train their data experts in a hands-on workshop to gain a deeper understanding of modern LLMs and their potential applications on company-owned data.
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Dynamic Pricing in Aviation
In close collaboration with our client, we reviewed and optimized a newly developed model for calculating price elasticities in this project.
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Demand Forecasting Logistics
In this project, we developed a machine learning model factory for forecasting customer demand in the B2B sector and implemented it into the client's IT infrastructure.
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Predictive Steering in the Aviation Industry
To assess future risks in an airline's operations, we worked with the client to develop an application that uses machine learning to provide predictive guidance for operations.
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Analysis of freight traffic flows in R Shiny
In this project, we supported our client in the production and evaluation of forecast results for freight traffic flows. An R Shiny application was developed for interactive graphical and tabular analyses.
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R Shiny App for Logistics Disposition
In this project, we developed an interactive web app for the disposition of transport demands using R Shiny and JavaScript, and implemented it into our client's IT landscape.
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Scaling of Forecasting Models
In this project, we implemented an existing model factory for demand forecasting of over 10,000 entities in parallel into our client's IT infrastructure.
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Prediction of Flight Delays
In this project, we collaborated with our client to develop a machine learning model that predicts flight delays to support the ground operations team.
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Dynamic Pricing with Reinforcement Learning
In this project, we developed an autonomous pricing system that can automatically control the bid prices for continental flights.
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Logistics AI: Customer Experience, Predictive Maintenance & Future Outlook
Beyond efficiency and cost savings, AI in logistics also creates new opportunities for an improved customer experience. AI-powered chatbots enable transparent communication around delivery status, order changes, or product inquiries - available 24/7 across all channels.At the same time, predictive maintenance ensures more reliable fleets and machinery. Continuous analysis of sensor data allows potential issues to be identified early and appropriate maintenance actions to be initiated in time. This increases operational reliability, extends equipment lifespan, and significantly reduces maintenance costs.
From a strategic perspective, the combination of AI and data science in logistics opens the door to entirely new business models - from data-driven services to personalized offerings. The conclusion is clear: the future of logistics is digital, customer-centric, and shaped by AI innovation.
Our strength
Our ecosystem enables a holistic view of Data & AI.
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Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
Whitepaper: AI in logistics
AI in Logistics: Our services
AI Consulting
Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.
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AI Starter Offerings
Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.
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AI Solutions
We develop data science and AI solutions tailored to your requirements. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.
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AI Trainings
Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.
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Contact your experts for Data and AI in logistics
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
Frequently asked questions and answers
How does AI in supply chains improve logistics efficiency?
AI enables real-time monitoring and forecasting of supply chain processes, leading to better planning and fewer bottlenecks. This allows your company to react more quickly to changes and increase competitiveness through AI-driven supply chain optimization.
What role does AI play in route optimization within logistics?
AI analyzes data and forecasts to optimize your transportation routes and capacities. This results in more efficient transport paths, reduced costs, and lower environmental impact.
How can AI monitor the quality of transported goods?
AI in logistics enables automated, real-time quality control of goods from inbound receipt to final delivery. This ensures consistent quality assurance and increases customer satisfaction.
How does AI support demand forecasting in logistics?
By leveraging AI in logistics, you can reliably and proactively predict your customers’ future transportation needs. This allows for better planning and resource allocation to prevent bottlenecks.
