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Advancements in new technologies have greatly assisted the retailers to struggle the challenge of providing customized services and building long-term customer loyalty. Moreover, the consumer analysis is the key enabler of a new wave of these personalized knowledge-based services. This gave birth to the idea of developing a geomarketing solution to integrate geolocalisation technics and Big Data analytics. In this proposed solution, customers are tracked using beacons that are set up in the store and personalized promotions are offered to the customers based on their shopping habits and purchase histories. The smartphone application detects the location of the customer inside the shop using Bluetooth Low Energy (BLE) signals sent by the beacons and the information is then sent to the server application for processing. The server application then sends personalized offers to the customer. By using customer’s movements, we will generate trajectory-ticket and use Q-analysis to explore the connectivity of aisles. For the clustering, customers are clustered by using K-means. Given these results, the system provides customized coupons and price discounts for each customer based on their previous preferences and behaviors. The geomarketing system helps the store’s managers to understand the customer and offer personalized promotions.

Advances in information and communication technologies are providing more and more alternative ways to accessing information and storage data, as well a greater accessibility to multiple devices, transforming Internet of Things into a giant digital ecosystem, revolutionizing the business models also in the area of marketing. According to Gartner's, IoT will have a major impact on the economy, facilitating and create opportunities to new business models. This article covers a range of techniques, tools and a model that address geographic market intelligence, examining how the benefits of these can contribute to greater effectiveness in marketing campaigns and the maintenance or acquisition of competitive advantage. info:eu-repo/semantics/publishedVersion

With the huge advances in the field of wireless communication technologies and the availability of large volume of data on customers, it becomes imperative to develop a system that can be used in shopping center to make shopping more enjoyable and efficient for the customer and the monitoring real-time easier for the store's management. A Geomarketing system based on Bluetooth Low Energy (BLE) is developed. This BLE-based system consists of three key components (i) Server component (ii) smartphone component, and (iii) beacons (BLE). The smartphone application detects the location of customers by using BLE technology, this data will be transferred to server component by WIFI, and the server application sends personalized promotions such as mobile advertisements or e-coupons to customers' smartphones. In this paper, a highly scalable marketing system using Beacon and the smartphone applicationwas built to send push notifications to users based on the current location of customer inside the mall. Content was provided to people in order to increase sales. This work aims to demonstrate that the geomarketing system is able to detect the location of the customer, transmit the location's data via WIFI, display personalized promotions in a smartphone. The results show that implementation of Bluetooth Low Energy (BLE) technology in this system highly reduces the power consumption of the long-term monitoring system.

With internet marketing being a driving force behind the growing internet economy, innovative and efficient ways to reach target markets are being pursued. In this paper we present the design and implementation of an advertising framework which uses cloud connected home automation systems as the advertising platform. Moreover, en suite location awareness of the home automation system aids in effective geomarketing.

Over the last decade the bandwidth required for services such as High Definition TV and Internet has grown explosively. Telecom operators are developing business cases evaluating the deployment of high speed Fiber to the Home (FTTH) networks. The major limiting factor is the deployment cost, mostly related to civil works. Consequently, telecom operators often hesitate to invest and delay the deployment of FTTH networks or opt for gradual and slow deployment. Current FTTH deployment strategies are often motivated by business cases focused on cost aspects. This leads to a deployment strategy minimizing the cost or - for a fixed investment - maximizing the network coverage. This paper introduces a new methodology that identifies the optimal areas for deployment by maximizing the overall return on investment. Through the combination of GIS-based network design and geomarketing-based revenue projections, an increase in revenue of more than 10% can be obtained for the same initial investment.

This paper presents tools performing automatic generation of urban environments for 3D geomarketing. Geomarketing aims at the visualization of strategic information (financial, sociological...) on geographical supports for decision making processes. The use of cadastral files allows to quickly generate the urban models while keeping direct links between the firms and their locations in the virtual environment. The 3D models are generated in an optimized way, enabling real time interaction with the environment using standard PCs.