Case Study: Cushman & Wakefield saves 35,000 staff hours with Indico Data Solutions

Cushman & Wakefield tackles the unstructured data challenge

Cushman & Wakefield, a leading global commercial real estate firm, faced the significant challenge of processing millions of complex, unstructured documents such as leases and agreements. Their existing robotic process automation (RPA) tools were ineffective for this task, requiring manual effort that was costly, inefficient, and prone to error. To overcome this, they turned to the Indico Unstructured Data Platform to add AI and machine learning capabilities to their automation initiatives.

Indico Data's solution enabled Cushman & Wakefield's process experts to build custom models for classifying documents and extracting critical data points. The platform's intuitive interface allowed them to automate workflows without heavy reliance on IT, converting unstructured information into a structured format for use in downstream systems. This implementation saved the company 16,000 staff hours on their deal desk initiative alone and accelerated deal turnaround times by 70%, demonstrating a substantial return on investment.

Cushman & Wakefield

Brandi Corbello

VP Transformation, Head of CoE