How do you forecast restaurant demand in real time to staff locations efficiently?

Lineup wanted to reduce labor costs across its restaurant locations by optimizing scheduling to more accurately reflect demand. By combining endogenous sales data with exogenous features like weather, events, holidays, and TV schedules, Echelon DS improved demand prediction accuracy by 40%, resulting in material labor cost savings across Lineup’s portfolio.