Jack Pearson

It’s predicted that by 2030, over 1 million mobile robots will be in the field. However, implementation is still complex and the cost of robot downtime is estimated to range from $1,000 to $10,000 per minute. With AI and SLAM systems struggling with real-world variability, what are the real challenges in understanding the total cost of ownership?

For mobile robots to be feasible and improve operational efficiency customers need performance in real-world environments at an acceptable cost. By focusing on reducing BoM, teams are making trade-off decisions on performance, while simultaneously incurring silent costs that are not measured or managed. To make the right decisions we should all be focusing on the Total Cost of Ownership (TCO). BoM is just one important part in a life cycle of costs required to develop, set up, maintain and update an autonomy solution. Yet often it is the main or only cost factor considered in purchasing decisions.

Understanding and measuring TCO is tough. Doing so however, creates a path to long term scalable profits and a more competitive product. This talk will explain why autonomy is at the heart of TCO, what costs are secretly undermining margin and customer experience, and how you can measure and solve these issues.