Eva de Vries
Central Marketing Operations Lead
The transport sector is going through yet another period of unprecedented change. At a time when themes such as sustainability, safety and experience are more important than ever, operators are having to juggle passenger expectations with seamless services and the complex operational demands of managing vast networks.
Research shows 91% of logistics firms report that their clients now demand seamless, end-to-end logistics services from a single provider.
Faced with such a dynamic and fast-paced environment, operators are in need of a new approach – one powered by advanced digital capabilities.
As our recent Cloud Migration Simplified eBook highlights, cloud computing is “more crucial than ever to adopt technical infrastructure that matches the pace of digital transformation and leverages cloud technologies to unlock innovation and efficiency”.
That applies to artificial intelligence (AI) too.
According to recent research, AI-powered innovations could reduce logistics costs by 15%, optimize inventory levels by 35%, and boost service levels by 65%. Over the next two decades, AI adoption in logistics could generate between $1.3 trillion and $2 trillion per year in economic value.
A prime example of this transformation is Dutch national railway service provider Nederlandse Spoorwegen (NS). On a mission to make the country more accessible by public transport, NS faced a challenge with their OV-fiets bike-sharing service, where shortages impacted passenger experience. To address this, NS’s data science team adopted Azure Machine Learning to build a predictive model for bike availability.
The impact has been significant.
By allowing commuters to plan alternatives, the model increases overall reliability and enhances customer satisfaction. This also supports NS’s long-term strategic planning, allowing them to forecast future bike demand.
The journey for NS, and indeed for the entire transport sector, is one of continuous innovation. Looking ahead, NS plans to embed the model into their app, which serves over two million users, and extend its rollout to third parties.
For transport organizations globally the potential remains huge – and the canvas for innovation still gloriously blank.
Discover Nederlandse Spoorwegen’s AI-powered rail transformation. Learn how this railway company revolutionized predictive maintenance and operational efficiency with Azure Machine Learning. Read the full story.
ISV’s die willen groeien, doen dat in Azure! Vanuit de cloud introduceer je sneller nieuwe producten, bereik je meer klanten, verminder je kosten en haal je meer waarde uit je samenwerking met Microsoft. Dat klinkt mooi, maar wat levert dat nou op in cijfers? De onderzoekers van Forrester deden een groot onderzoek. Eén van de […]
Jeffrey Vermeulen
Business Group Lead – Cloud & Enterprise
Gebruik onze gratis quickstart-handleidingen, tutorials en voorbeelden!
Jeroen ter Heerdt
Data & AI Expert
Cloud has significantly transformed the ISV industry and customer expectations. Therefore, building and scaling your apps on a trusted, secure cloud is critical to customer retention and acquisition. Become a Microsoft ISV. Get guidance on building modern, scalable, and secure apps, and developing your go to market plans. Finally, present your solution on the Commercial Marketplace and take advantage of multiple channels […]
Jeffrey Vermeulen
Business Group Lead – Cloud & Enterprise
