Industires

Logistics

Moving goods from point A to point B is one of the oldest businesses in the world, but modern logistics is infinitely more complex.



Individually, spedition can include transportation, warehousing, inventory management, and supply chain coordination – all to ensure timely and efficient delivery.



Taken as a whole, this compounds into a system where both each part and the whole must be carefully orchestrated – something that’s also true when addressing logistics challenges.


Challenges

Data Management

Data Management

The industry needs to handle growing data sizes, constant changes, and proper reporting analytics and visualization

Risk Management

Risk Management

Any interference can cause delays, loss of goods, and even accidents – and clients need to know where their packages are at all times

AI Integration

AI Integration

Logistics companies need to be able to scale demand and features through the use of AI

Our Solutions

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When discussing logistics, it’s easy to understate just how complex, interconnected, and important each piece is.



Our solutions take into account each minute detail as well as the big picture, modernizing legacy systems, improving overall orchestration, and making sure that new systems perform better, faster, and with as many additional features as our clients might require.



All of this is done in stride with the focus of laying foundations for effortless future scalability of operations.



Where the industry is headed

Outside of the incoming leap in EV adoption and the potential future of self-driving – still some years away – the logistics industry is still focused on many other channels for long-term digital transformation



Key Challenge 1

Increased Automation Adoption

On the warehousing side of things, many companies are already adopting IoT technology, automation, and robotics in an attempt to optimize as much of its processes, producing massive savings in time and costs.

Key Challenge 1

AI-boosted Fleet Management

Conversely, on the fleet management side of things, many companies are using machine learning to automate improvements in route planning, demand forecasting, and inventory management.

Key Challenge 1

Cloud Decentralization

Additionally, many companies are migrating real-time tracking and management to the cloud in order to decentralize access to real-time information for both internal and external use.

Case Studies

Case Study Image

Building an IT Team for a Scandinavian Media Holding

Our client is a Scandinavian media and digital service holding with extensive operations across Europe. Learn how we helped them overcome critical IT challenges, modernize their infrastructure, and build a sustainable, high-performing IT team.

Implementing a React Frontend for a Serious Games Startup

Implementing a React Frontend for a Serious Games Startup

Developing a New, Secure and Scalable System for a Leading Crypto Exchange

Developing a New, Secure and Scalable System for a Leading Crypto Exchange

Other industries

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