Research and Innovation: Appius: application of artificial intelligence, econometrics and IoT for automating the recurrent supply of products
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Appius: application of artificial intelligence, econometrics and IoT for automating the recurrent supply of products

Abstract

Shopper aims to make with basic consumer products what plumbing has done with water, using various technologies, to build (and live in) "a world where essential products arrive in your house with the same ease as water arrives on tap". The first step in this direction was to create a recurrence model (monthly deliveries) and with an online store: through a website, people do their monthly (re) purchases and receive everything at home, saving time and money. Month by month they adjust the quantities of their orders. By recurrence, it is not necessary to have inventory and one can better program not only the purchases (which are on demand), but also the logistics. Thus, because of the greater efficiency, lower prices are obtained, besides more practicality to the final client. This project aims to develop and validate an Artificial Intelligence solution based on econometric models and Internet of Things (IoT) to extend the intelligent automation of the recurrent supply of products. As the final product of the project, it is expected to obtain a connected device for collecting, storing, sending product identification data and purchasing products, which can be produced on an industrial scale, being analyzed by the server of the seller establishment and after evaluation of the User profile and application of artificial intelligence techniques based on econometric models, resulting in shopping lists, for direct purchase and another list resulting from consumer user purchasing recurrence analysis, customized to the user profile. The device must be industrialized at low cost to meet the target audience. It must have several sensors such as device for identification of presence, device for identification of products (bar codes, QR codes, or by weighing in scales), for the transmission of data to an electronic commerce server, in order to generate a customized list of products, which can still be the object of delivery scheduling at the customer's residence. The data of the personalized list of each user can still be manipulated according to the will of the client, being able to be reviewed the quantity, the weight or the price of certain product in the database of the commercial establishment. A successful proof of concept was accomplished in 2016 with a prototype containing a barcode reader connected to the server via WiFi connectivity, which enables us to request a direct phase 2 in this PIPE call, where we will need to validate the technological solution in larger scale. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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