A little less than two decades ago, the delivery of restaurant-quality meals was still largely limited to. The opportunity for a new delivery is to extend food delivery to a new group of restaurants and customers. To support further development of the theory, this study presents six proposals on the types, forms and determinants of customer expectations in the face of unattended grocery delivery. Early adopters of e-grocery delivery services generally prioritize activities other than grocery shopping, such as personal hobbies or spending time with family.
Meal kit and food delivery companies must have a healthy balance between keeping their loyal customers happy in the long term and delighting new customers. These new categories attract new customer segments, increase the average value of orders and allow deliveries to be stacked to help maximize the efficiency of each shipment. The study’s findings indicate that respondents identified social interactions, such as talking to neighbors or service staff, as unavoidable when buying food and avoidable when resorting to unsupervised food delivery. Rappi, based in Bogotá (Colombia), is an example of a multivertical delivery application that combines food delivery with other orders (through services such as RappiFavor or RappiCash), while Uber Eats and DoorDash have begun to explore the possibility of stacking orders as part of their food offerings.
The next section presents the findings of the case study and provides a set of proposals on the forms and determinants of customer expectations in relation to unsupervised food delivery. Deliverers must complete a certain number of deliveries per hour for the economy to be favorable to them. Situational factors raise consumer expectations for unsupervised grocery delivery services. This study provides managers with up-to-date information on customer expectations and provides guidance for designing and developing unsupervised grocery delivery services.
Therefore, a multi-case study of potential pioneering companies was conducted to explore customer expectations about unsupervised grocery delivery services. The purpose of this study is to contribute to the body of knowledge about unattended grocery delivery services by identifying and empirically describing the forms and determinants of customer expectations. Other technology that allows you to skip the line are meal kits or the use of a grocery delivery service, which makes it much easier to order regular food. Leveraging AI to automate and improve customer service can keep customers who sell food and food delivery kits happy and who have discovered the value of dining on their doorstep and entice test users to stay when better times come.
Despite the contributions of these studies, little is known about customer expectations regarding unsupervised grocery delivery services.