Global

Moving Transportation & Logistics Forward with Technology

The global economies hinge on a well-oiled supply chain and reliable transportation systems. As companies navigate fast-changing consumer behaviours and expectations, technology plays a key role in keeping them ahead of the curve.

This page offers the opportunity to learn from seasoned industry experts and gain best practices from Monstarlab's vast experience in solving industry challenges. We will tackle issues that might be stalling your full digital transformation journey. Whether you are unsure of where to begin due to fragmented tech systems or wary of steep investment costs, we can help point you in the right direction.
Here are some insights on key business challenges
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Monstarlab Marketing Andrea Nalupa — 5 min. read

Relevant services to help you get to the next level

Monstarlab helps you achieve operational efficiency goals and discover business opportunities through collaborative approaches that manage investment risks yet yield scalable technology solutions.

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Our experts are ready to help you with your digital journey

Mobile Solutions & Technical Projects
Simon Ejsing
Product-centric Delivery Director who has led the development of large B2B and B2C projects for global businesses. While at Monstarlab and other consultancies, Simon has driven large-scale mobile projects for enterprise-level businesses, bringing cross-functional team members together to create products that make an impact.
Solution Discovery & Strategy
Luke Gallimore
Since joining Monstarlab, Luke has driven success with a range of clients across many verticals. He was the ‘founding’ product manager during the incubation of UK-based Fintech Startup Claro in 2019 and has worked with global brands such as Avon, Nord Anglia Education and Krispy Kreme to support their journey to becoming digital-first and disruptive businesses.
AI & Machine Learning Integrations
Tobias Morville
Tobias has a PhD in Computational Neuroscience and has worked with designing, developing and deploying machine learning models in both Danish and international companies for the last four years.

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