Prospect Allocation Algorithm for Industrial Staffing Giant

Optimizing the allocation of a large number of prospects across numerous company branches, aiming to enhance operational efficiency and client engagement.

Engineered an advanced distance-matrix algorithm to strategically distribute 15,000 prospects among 150 company branches, integrating geospatial data and sophisticated analysis techniques for optimal allocation.

Resulted in a seven-figure cost saving in manual labor and time. This algorithm significantly optimized operational efficiency and enhanced the client engagement process.