FORTNA resources

In this article, learn about the seven types of warehouse robots and their benefits, use cases and challenges, providing a framework for how to think about leveraging robots in distribution operations.

In times of disruption, leaders must recalibrate the business. Digital transformation is key to unlocking resilience. But risk assessment has not kept pace with change and a new perspective on evaluating risk is needed.

This white paper discusses how the landscape surrounding peak preparation has evolved and lays out important considerations to ensure business continuity and realize the full value of automation investments.

Holiday peaks put major stress on distribution and fulfillment networks. With massive order volumes, reduced processing times and a scarce labor pool all pressuring operations to do more with less, how can you proactively prepare for the busiest time of year?

Automated sortation and conveyor systems cannot handle bulky, irregularly shaped items – leaving employees the arduous work of lifting and moving everything from furniture to sporting goods...but what if you could automate these non-conveyable items?

Learn how machine learning will unlock new, more complex tasks for automation.

By making a plan and taking a step-by-step approach to introducing automation, operations can create facilities with exceptional labor efficiency, order accuracy and more - whether technically a fully automated warehouse or not.

This white paper discusses the established software paradigm for warehouses and distribution centers and introduces an alternative approach.

The combination of e-commerce pressures and labor challenges conspire to make the modern DC increasingly complex and reliant on carefully planned automated systems.

From manual to fully automated, what’s ahead for the warehouse robotics market?

Companies that recognize and respond to the shift in power to the customer are winning hearts and wallets, the key is not to get hung up on trying to save a penny.

There will come a point in time within every distribution intensive organization when a conclusion is reached that incremental change in distribution capabilities is not enough and that a major transformation is needed.