With a large network of facilities and post offices, and yet mail volumes in decline, the U.S. Postal Service finds itself with a good deal of unused capacity. The dynamics over closing and consolidating facilities has raised the question of whether there are other uses for them. Further, the Postal Service could still own the facilities even after it closes or consolidates operations. Rather than sit empty, could the Postal Service use some of that capacity in non-traditional ways to generate additional revenue? One idea, if the law allowed, would be for the Postal Service to provide self-storage services at unused processing facilities. It could also provide safe-deposit boxes at under-used post offices. Self-storage allows users to rent storage space in the form of rooms, lockers or containers on a monthly or annual basis. Safety deposit boxes might be a miniaturized version of self-storage units, where the user could store especially valuable goods or papers in a secure and fire-safe box. These types of services would require little additional overhead or labor hours, although additional security personnel might be needed. Current law limits the Postal Service’s ability to offer services that are considered non-postal and in the past, some industries have resisted Postal Service’s efforts to enter into new business opportunities. However, as the Postal Service faces ongoing financial challenges and continued resistance to consolidation plans, is it time to consider new ways to use its infrastructure? Should the Postal Service be allowed to use its facilities to offer non-traditional services, like self-storage units and safety-deposit boxes? What offerings would you like to see? Do we need to rethink the infrastructure or simply allow the Postal Service to consolidate to match resources to workload?
You have likely heard the term “big data” frequently these days. From health care to marketing to law enforcement techniques, data analytics are driving decisions and improving outcomes.
At the OIG, data analytics — which include data mining, risk assessments, and predictive analytics —...Read More