Employee Turnover and Retention: Why Better Systems Keep Your Best People — MyGeoApps
Turnover in waste and fleet operations is rarely about pay alone — it is about systems that make the job impossible. How capturing operational knowledge with AI keeps drivers, dispatchers, and billing staff performing better and staying longer.
People rarely leave hard jobs — they leave unsupported ones. This guide covers where tribal knowledge accumulates from the driver to dispatch to billing, and a real case: a top-5 Canadian waste management company that went through near-100% turnover in its operations management and supervision department — four new people to train at once — and used AI pattern recognition over its captured operational history (customer profitability, driver-truck pairings, disposal economics) to train them in weeks instead of years.