Inspiration
Since childhood, I grew up in the area of Micro and Small Business (MSEs) entrepreneurs. However, along with the rapid development of technology in Indonesia, I observe that the majority of MSEs still sell in traditional ways, for example serving consumers face-to-face and relying on word of mouth promotion.
After I did some research, it turned out that data from the Badan Pusat Statistik (Central Statistics Agency) showed that the level of internet adoption among MSEs was still very low. As proof, around 60 million MSEs do not use the internet to promote their business. Satisfaction with the results obtained, unwillingness to change current conditions, and lack of understanding of internet use are reasons that hinder the adoption of the internet among MSEs. As a result, the reach of consumers from small-scale businesses is limited because consumers have difficulty knowing the whereabouts of MSEs around them.
As someone who cares about the growth of MSEs in Indonesia, I want to contribute to advancing MSEs in Indonesia by creating an application that can help introduce MSEs among the wider community.
Problems to be solved
Helps the Micro and Small Enterprises (MSEs) increase the reach of consumers, especially those that have not been digitalized and make it easier for consumers to find various attractive MSEs, goods and services around them.
How we build it
We used the following technologies to build the application:
Flutter, a single front-end codebase solution for building native iOS and Android apps.
Firebase technology: a) Firebase Auth, a back-end service for managing user authentication on applications. b) Cloud Firestore, as the primary database to store all the data needed to support the running of the application c) Cloud Storage, as a repository for storing MSEs photo files and location products uploaded by the user. d) Cloud Function, a backend function that runs behind the scenes used, this service is primarily used to communicate with the Elasticsearch service.
Elasticsearch, as a modern search solution based on Apache Lucene, this technology is used to index photo data, MSEs, goods, services, logs and user interactions, so that the application can search and process data quickly.
Log in or sign up for Devpost to join the conversation.