Instant Delivery Services: A Bibliometric Analysis

Abstract

The instant delivery sector represents a rapidly evolving segment of the Indian retail market. Its primary value proposition lies in the capability to deliver a broad assortment of goods to consumers within extremely short timeframes, often as little as 10 minutes. In India, key instant delivery platforms include Dunzo Daily, Swiggy Instamart, Big Basket Daily, and Blinkit. These firms employ a decentralized fulfillment model by establishing strategically located micro-warehouses, commonly known as “dark stores,” in densely populated urban areas. Orders are processed and dispatched from these facilities by delivery personnel, enabling near-immediate fulfillment. The instant delivery model can be viewed as an advanced extension of the traditional e-commerce framework, emphasizing speed and proximity to consumers. An initial dataset of 119 scholarly publications, covering the period from 2015 to 2026, was obtained from the Scopus database. After a rigorous selection and screening procedure, the final set of articles was examined using bibliometric methods supported by the bibliometrix package in RStudio, along with visualization software including VOSviewer. The data were examined using the Bibliometrix package in RStudio to evaluate trends in annual scientific output, identify leading authors, core publication sources, most cited countries, most relevant affiliations and analyze keyword structures  using VOSviewer to conduct network analysis and generate visual representations of relationships among keywords. These visualizations enabled the identification of distinct keyword clusters, offering insights into the key research areas within the instant delivery domain.

Keywords – Instant Delivery, Rapid Delivery,On-demand Delivery, Consumer, Customer, User, Client.