3 posts tagged with "ways-of-working"

The key to reliable and cost-efficient electric freight lies in accurate range modeling, also known as energy consumption modeling. In this blog post, we outline Einride's approach to collecting and processing electric truck data to implement range models that consistently achieve over 90% accuracy.

To reach international targets of reduced global warming, the transport industry needs to accelerate its transition towards electric. In order to go electric at scale you need to allow for a mixed brand fleet setup. You also need accurate range predictions for these brands. Given that different truck manufacturers use different data models makes this challenging. What if we could define a standard data format that we could map all truck data to, regardless of brand? Read on to learn how Einride is working with standardizing data to enable accurate and unbiased range models.

The data used when training range predictive models has a significant impact on transport planning

Whether or not to roll your own UI component library is a common dilemma when developing products with a unique brand identity. In this blog post, we shed light on how we're solving this at Einride – and lessons learned from along the way.

It's tech radar review season at Einride! That means each engineering guild facilitates a workshop to ensure that their tech radar is up to date, relevant and useful.

In this post we explain what a tech radar is, why having one or more tech radar is useful, and how we work with tech radars at Einride.

Want to know more? Read on!