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Project PISCARI: Ble device platform for recommendation, metrics and publicity

Grant number: 18/01289-8
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: February 01, 2019 - January 31, 2021
Field of knowledge:Engineering - Electrical Engineering
Cooperation agreement: FINEP - PIPE/PAPPE Grant
Principal Investigator:Matheus Barros Manini
Grantee:Matheus Barros Manini
Company:OMNI Eletrônica, Engenharia e Comércio Ltda. - ME
CNAE: Comércio atacadista de componentes eletrônicos e equipamentos de telefonia e comunicação
Desenvolvimento de programas de computador sob encomenda
Serviços de engenharia
City: São Paulo
Co-Principal Investigators:Fabricio Puente Mansilla
Associated research grant:16/15467-0 - Project PISCARI: Bluetooth Low Power beacons system integrated to physical positioning for recommendation based on identification, location and artificial intelligence, AP.PIPE
Associated scholarship(s):19/06402-0 - Project PISCARI: BLE device platform for recommendation, metrics and publicity, BP.TT
19/04658-7 - Project PISCARI: BLE device platform for recommendation, metrics and publicity, BP.TT
19/02872-1 - Project PISCARI: BLE device platform for recommendation, metrics and publicity, BP.TT
19/07096-0 - Project PISCARI: BLE device platform for recommendation, metrics and publicity, BP.PIPE

Abstract

The Brazilian retail market has been growing in sales volume, having doubled this volume in the last 12 years, despite a noticeable decrease in 2017, the results of 2017 are very positive and following this trend 2018 will have results equal or better than the historic 2014. This is therefore a great moment in this market, not only is it no longer an international market, but also has no international trend to a much more pronounced growth. These positive prospects have intensified investments in new technology solutions aimed at retailing. One of the innovations with a great potential of penetration in the market and that has been revolutionizing the same way are the beacons. Beacons are components that can communicate with customers anywhere, connected or not to the internet, only via bluetooth. Thus, a store can expose offers, purchases and customer engagement campaigns. Today, this technology has evolved only in energy consumption, cost and size, its systems are still very simple or with few functionalities, which has brought advances to retail sales, but in a simple and static way, doing not much more than replacing boards or ads written by something more technological and attractive. A proposal of the Piscari project is a low energy bluetooth device, BLE, which uses technology for a differentiated shopping experience without a retailer's point of sale and in the interaction of people with a city (smart cities). Piscari is responsible for improving technology through its dynamics and interactivity, using artificial intelligence to pay for personalized and optimal results. In addition, it is a great value to generate with a data collection made by the device, this data is transformed into information about the qualification transformed as a marketing strategy, allowing this tool to be used in several other markets that deal with the public and want differentiated by the consumer experience of its customers. After obtaining a technical feasibility of the Piscari devices and their ability to offer value to a well defined segment of customers and with a clear need, omni-electronica intends in this second phase to initiate more advanced research and that will provide a complete recognition of the company's business model and also find a device design that is firmly scalable and robust. With the effort on several fronts, omni-electronica will achieve these goals by creating devices to be installed in several stores in a shopping mall in São Paulo, creating a unique environment where different approaches will be tested for consumers until an efficient response is achieved. the artificial intelligence that will be implemented in the devices. Research will be done to analyze the best ways to monetize the product, as well as to confirm public receptivity. Omni-electronica will develop a complex artificial intelligence modeled on user interaction applying the concept of machine learning, providing a more complete and interactive buying experience. A study on a possible patent will also be made, on some discoveries made during this process. At the end of the project the devices associated with applications will be able to find out when, what and for whom to advertise. (AU)