A recent example of mitigating risks using data-driven insights is when COVID-19 significantly changed the last-mile delivery network for B2B retailers. Due to work-from-home, delivery locations were more spread out in the suburbs with 1-2 boxes per stop compared to a larger number of boxes in more centralized office locations. This exposed a general underlying risk in last-mile delivery when (total route time) demand exceeds (temporal) delivery capacity where the challenge is to deliver to all customers on the promised delivery day with the retailer driver (RD) staying within the regular shift hours. Evolving industry practices include outsourcing some deliveries to on-demand drivers (ODDs), such as Uber and Lyft. Big data and complex AI models help determine the route of the RD, the locations that the ODDs will deliver, and the drop-off locations where the RD will hand over packages to the ODDs.