Case Study: Nando's Singapore achieves 15% higher labour productivity and 30% improved forecast accuracy with Tenzo

How Tenzo helped Nando’s Singapore improve labour productivity by 15% and forecast accuracy by 30%

Nando's Singapore, which operates eight restaurants, was struggling with a decentralised forecasting process that left managers creating static or availability-driven schedules and limited their ability to optimise labour. To address this, they engaged Tenzo and its AI-based sales forecasting and labour-planning mobile app to give Patraos simple, accurate forecasts they could build schedules around.

Tenzo ran a three-month pilot across four locations, providing machine-learning forecasts combined with manager adjustments, visual labour-planner charts, transparency sessions and lightweight adoption incentives. The Tenzo solution improved labour productivity by 15% and boosted sales forecast accuracy by 25% (rising to 30% when managers input adjustments), reducing over- and under-staffing and simplifying day-to-day operations.

Nando's Singapore

Moji Neshat

CEO