Data capture apps for the consumer sector enable consumers to track and record their shopping habits. A data capture app designed for the consumer industry should allow users to create a profile, add items they want to purchase or save for later, and store them in a catalog. Data capture apps often include GPS capabilities so users can add data when they are out shopping in stores or browsing online.
Data capture apps for consumers are nearly always related to shopping and product discovery apps, such as retail catalog apps, shopping apps, and product review apps. Some examples of popular consumer data capture apps include Amazon, Instacart, Pinterest, and YouTube.
A data capturing app with maps, geolocation, photo uploads, a storefront, and a payment collection feature that allows people to learn more information about the roadside memorials that they see on their travels. It's also being created to build communities of people who have been through similar traumas and collect data to share routes that have a high number of fatal accidents.
A data capture app needs to be able to capture data about its users in order to provide services that are personalized and valuable. For example, a healthcare app might want to collect user data about their physical activity, diet, and health care history. This data is then used to recommend healthy activities for the user or to suggest health care products that can help improve the user's condition. The app might also use this data to provide customized training programs tailored specifically for each user's needs.
Data capture apps for the consumer sector face legal and reputational risks associated with the collection and storage of sensitive personal information. Before collecting and storing data about users, an app should ensure that it is compliant with all applicable privacy laws. A data capture app should also not store sensitive personal information such as social security numbers or financial information (e.g., credit card numbers) on its own servers. Instead, it should provide a mechanism for users to export their data in a format that can be transferred to other sources (e.g., cloud-based storage).