Company Performance Metrics
- Oka Simanjuntak: CEO
- Albert Agung Arditya: Co-Founder and CTO
Shooper is an Indonesian based Retail Tech Consumer Analytics providing SaaS on highly detailed and structured Big Data of retail consumer behavior focusing on the grocery (supermarket) segment.
Shooper helps solve serious problems Indonesian households are facing during the Covid-19 recession- how to save money on grocery. At the same time,
Shooper helps FMCGs and other corporations get big data on offline consumers to better understand buying behavior with accurate and timely data so that they can fine tune their offerings, saving valuable resources, and gain the competitive edges.
A McKinsey study shows that the Covid-19 economic downturn forces households to focus on saving money. Only the top 5% of the Indonesian SEC can afford online groceries because of the extra delivery costs. This presents a huge gap where the vast majority of Indonesian consumers largely unserved by various tech offerings in terms of saving money.
Shooper collect massive big data of consumer spending by gathering users' receipts. Users upload their receipts on the app, gain many incentives such as universal point rewards, and have access to their own data. Shooper extracts the detail data, curate it, then present the data back to everyone.
Users can use the data to compare prices at physical minimarkets, supermarkets nearby. Simply create a long list of your monthly shopping needs, click a button, and Shooper will tell you which stores to go to get the lowest prices.
There are many other benefits: ShooperTrack- get detailed data on your own spending so that you can track and manage your households budget. ShooperPoints- a universal point reward feature where you get points from any supermarkets, minimarkets you shop. ShooperChef- learn new recipes, and let Shooper tells you where to buy all the ingredients at the lowest prices.
Shooper captures detailed data on consumers' interest, intend to buy and their final buying decisions, which we can then be used to learn, influence and reward consumers' buying behavior. Users create a shopping list of their monthly grocery needs in order to find which supermarket offers the lowest prices for everything on the list. This list is the intend to buy. The data from the list can be used to offer the right alternative products and persuade the user to switch. When the user upload the receipt, the data show the final decision. Both intend to buy and final buying data are critical for companies to reward the right behavior and offer incentive to strengthen their brands. Or, use the data to switch users from other brands to your brand.
