ABOUT THIS EPISODE
Warehouse automation is a significant investment that can feel risky. What if your solution doesn't meet your current needs? What if your business changes and the automation can't keep up? What if you overdesign and overpay? That's why data analysis is critical for designing the right warehouse automation solution. In this episode of the podcast, host Marissa Dierlam sits down with Daniele Bongiovanni (Data Consultant, TGW North America) and Natalie Vruwink (Solutions Designer III, TGW North America) to discuss which data points are most critical, what key design criteria can be uncovered with data, and the importance of deriving assumptions and conclusions alongside our customers. Data not only allows us to right size and scope automation solutions—it also builds a clear business case and ROI for our customers and de-risks their investment.
