Design by Learning – Increasing the Efficacy of Last Mile Services by Inferring Consumer Intentions

Last mile services ought to account for consumer intentions and improve co-production efficacy through mechanism design. This paper proposes a machine-learning algorithm that infers consumers’ intentions from their service selection. This mechanism can then generate choices that incentivize the consumers to choose services that are more efficient for the provider.