Faster, Cheaper, Smarter: Omnistics Makes AI Suitable for Mass Use

High order volumes, growing complexity in global supply chains, volatile markets, and the ongoing shortage of specialists are presenting logistics companies with a wide variety of challenges. Increasing demands for transparency, delivery reliability, and efficiency are adding to the pressure. This often puts small and medium-sized enterprises (SMEs) in particular under severe strain. How can they manage complex processes in the supply  chain when resources are scarce, cost pressure is high, and the flood of data is difficult to keep track of? This is where the Fraunhofer IML's “Omnistics” platform comes in. The modular AI ecosystem was developed specifically for the needs of logistics companies. 

With “Omnistics”, the Dortmund-based researchers want to give freight forwarding companies without extensive IT infrastructure access to AI technologies. The platform supports the optimization of logistics processes such as shipment volume forecasts, route planning, dispatching, and data analysis. The goal is to make processes more efficient and knowledge more accessible without high initial investments. For companies that struggle with complex supply chains and tight margins on a daily basis, AI can be a decisive lever for streamlining processes and ensuring competitiveness. “Companies must set the course now to benefit from more accurate forecasts, lower costs, and higher customer satisfaction in the long term – and thus maintain their position in a highly competitive market,” explains Martin Friedrich from Fraunhofer IML in Dortmund.

A laptop showing Omnistics
© Fraunhofer IML
A green truck drives on a highway during sunset.
© Sergej Gerasimov via stock.adobe.com

Maximal flexibility and control

While large logistics service providers are already making targeted use of AI technologies, for example for route optimization, shipment volume forecasting, or automation in warehouse logistics, SMEs are still more cautious in this area. There are many reasons for this: a lack of internal IT resources, insufficient data, or a lack of expertise to reliably assess the benefits of specific AI applications. The integration into existing systems and long-term scalability are also causes for concern. Fraunhofer IML aims to alleviate these fears with its practical, modular AI solution. With “Omnistics,“ processes can be improved step by step, workflows stabilized, and existing structures relieved. Small, modular AI tools allow SMEs to gain initial experience in working with AI and use those tools that directly address their challenges. “The goal of ‘Omnistics’ is not to use AI everywhere just to say that it is AI-based. We see the technology as a tool for solving specific problems in logistics, especially for medium-sized companies,“ emphasizes Prof. Michael Henke, Institute Director at Fraunhofer IML.

“The goal of ‘Omnistics’ is not to use AI everywhere just to say that it is AI-based. We see the technology as a tool for solving specific problems in logistics, especially for medium-sized companies“

- Prof. Michael Henke

The platform offers barrier-free access to artificial intelligence and integrates various data sources, including internal systems such as TMS, WMS, ERP, and CRM, via open interfaces. Partner data from suppliers and customers as well as public data such as traffic information and weather data can also be integrated. This comprehensive database allows the platform to be hosted entirely on your own hardware – for maximum flexibility and control.

Complex tasks require precise assessments – six tools that provide valuable support

“Omnistics” improves the entire supply chain – from planning to operational implementation: One of the biggest challenges for logistics providers is the uncertain planning basis. Seasonal fluctuations or sudden peaks in orders make it difficult to reliably manage staff and vehicles. The “Capcast” module forecasts shipment volumes based on historical volume data and takes external factors such as economic developments in relevant industries into account. This enables informed decisions to be made and bottlenecks to be identified at an early stage. 

In warehouses, there is often uncertainty about item turnover and transit times. Here, the “ABCAnalytiq” module supports the analysis of item and order data to optimize storage and order picking.

Precise knowledge of when freight will arrive is also immensely important: “Pretime” uses AI to accurately predict truck arrival times, ensuring proactive, smooth process control in logistics. The tool considers transportation and weather data as well as the route to optimally plan tours and minimize waiting times. Real-time information enables better resource utilization – not only on the road and at the transshipment point, but along the entire supply chain.

With “Frostimate”, transport costs can be realistically forecast based on specific routes and current market data. This creates transparency in calculations and market comparisons. The system continuously learns and adapts to the specific pricing logic of the company.

Often, the cargo space in a vehicle is not fully utilized. There could be room for more packages. The “CargoSight” module uses cameras to detect free cargo space in real time and suggests how vehicles can be packed more efficiently. This improves capacity utilization before departure and optimizes route planning in the long term.

“Our applications are so easy to use and so useful that even employees who are still skeptical about artificial intelligence are won over”

- Martin Friedrich

“Our applications are so easy to use and so useful that even employees who are still skeptical about artificial intelligence are won over,” emphasizes Martin Friedrich. He is convinced that reservations will disappear as soon as, for example, the answer to the question “How much does it cost to ship three pallets from Frankfurt to Sicily in May?” appears on the screen in a matter of seconds – a search that would otherwise take a lot of time.

AI by subscription – including support

Mit einem Abo-Modell können Unternehmen nur die Tools testen und nutzen, die sie wirklich benötigen. Die »KI im Abo« und ihre einzelnen Werkzeuge sind unabhängig voneinander nutzbar und individuell kombinierbar. Sie können auf die Anforderungen jedes Mittelständlers angepasst werden. »Unsere Plattform ermöglicht es Unternehmen, logistische Prozesse mithilfe von Künstlicher Intelligenz ohne eigene Infrastruktur und ohne große Investitionen zu optimieren«, erläutert Martin Friedrich. Dieses Prinzip nennt sich »AI-as-a-Service« (AIaaS), angelehnt an das bekannte Modell Software-as-a-Service (SaaS): KI-Modelle werden über das Internet bereitgestellt und können im Abo genutzt werden.

Bei der Nutzung von »Omnistics« begleiten und beraten die Forschenden des Fraunhofer IML interessierte Unternehmen aktiv – angefangen bei der Datenaufbereitung bis hin zur Anbindung an die Plattform. »Mit individuellen Pilotprojekten und Schulungen vermitteln wir Mittelständlern das nötige Know-how im Umgang mit Omnistics«, erklärt Friedrich. Auch Datenschutz und Datenlagerung sind gesichert: Die gesamte Plattform ist cloudbasiert, die Daten werden datenschutzkonform auf den Servern des Fraunhofer IMLgespeichert und sind für die Unternehmen über eine Schnittstelle sicher zugänglich.

»Mit individuellen Pilotprojekten und Schulungen vermitteln wir Mittelständlern das nötige Know-how im Umgang mit Omnistics« 

- Martin Friedrich

Practical suitability confirmed

Die wichtigste Aufgabe der Dortmunder Forschenden ist derzeit die kontinuierliche Optimierung der KI-Plattform »Omnistics«. Dazu wurde die Plattform einem Praxistest unterzogen. Partner in der Beta-Phase war der Logistikdienstleister Geis, der seine logistische Expertise in die Entwicklung der innovativen Technologie einbrachte. Geis ist ein besonders wertvoller Projektpartner: Durch die vielfältigen Prozesse des Logistikers, seine Offenheit für neue Technologien und den Anspruch, logistische Exzellenz datenbasiert weiterzuentwickeln, kann die Plattform präzise auf die Anforderungen der Anwender zugeschnitten werden. Die aus der Zusammenarbeit gewonnenen Erkenntnisse fließen direkt in die Weiterentwicklung der Plattform ein, die ab Herbst 2025 für die Branche verfügbar sein wird. Langfristig sollen »Omnistics« und die dazugehörigen Apps kontinuierlich erweitert werden. Das Fraunhofer IML setzt dabei auf den Input von Spediteuren, deren Erfahrungen und Vorschläge helfen sollen, die Plattform noch besser an die realen Anforderungen der Logistikbranche anzupassen und so die Zukunft der Logistik aktiv mitzugestalten. 

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Contact

Martin Friedrich

Contact Press / Media

Dipl.-Wirt.-Math. Martin Friedrich

Senior Scientist Artificial Intelligence

Phone +49 231 9743-370