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To surge or not to surge, the algorithm is the question
漲價還是不漲?演算法是個問題

From rides to burgers, consumers may balk when differential pricing comes to their favourite real-world businesses
福魯哈爾:當線上商業模式中司空見慣的差異化定價進入叫車和速食等人們熟悉的實體商業時,消費者會反抗。

Surge pricing is something that anyone who takes a ride share on a regular basis has become used to. Try calling an Uber or Lyft on a rainy day during the dinner hour or around the school pick-up or drop-off time and you’ll be paying more than your usual rate — sometimes a lot more. Yet when consumers are confronted with common online business models like “dynamic pricing” in the bricks-and-mortar world, they may revolt. Consider the recent consumer backlash after Wendy’s, the American fast-food chain, announced on an earnings call that they were considering surge pricing for burgers during peak demand — and had invested $20mn in new AI systems to do so.

任何經常叫網約車的人都已經習慣了峯時定價。試一下在下雨天的晚餐時間或學校接送時間叫一輛Uber(Uber)或Lyft的車,你會付比平時更多的錢,有時甚至是多很多。然而,當消費者在實體世界中面對「動態定價」這樣的常見線上商業模式時,他們可能會反抗。想想最近美國速食連鎖店Wendy's招致的消費者的強烈反對吧,起因是該公司在一次財報電話會議上宣佈,他們正在考慮在需求高峯期間對漢堡進行峯時定價,併爲此投資了2000萬美元研發新的人工智慧系統。

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