The client experiences inefficiencies due to manual rental processes, lack of automation, limited visibility into rental data, and inadequate tools for managing rental orders effectively. These issues hinder operational efficiency, increase error risks, and impede strategic decision-making.
A medium-sized construction equipment rental company seeking to optimize rental operations and improve data accuracy.
The implementation of the custom rental management system is expected to decrease order processing times by 30%, improve data accuracy to 99%, enable real-time performance insights, and boost rental revenue by approximately 15%, resulting in enhanced operational efficiency and strategic decision-making.