Overview

MallSense is a decision support system specifically designed for shopping centres. Its primary function is to collect sales data from tenants' point-of-sale (POS) machines and combine it with customer behaviour and footfall data. The system then uses this information to provide ready-to-use interfaces for mall, asset, marketing and operations managers, enabling them to make data-driven decisions to enhance the mall's performance and increase sales. The usage of MallSense data-driven approach brings value in several fields: 1. Fraud control - Avoid tenants underreporting sales data to manipulate "profit sharing" rental rates and decrease rental payments (19% increase of mall’s revenue) 2. Tenant management - Make better decisions in various areas of tenant management, including tenant-mix and concept, fair conditions and negotiations, and proactive measures to prevent losses. (2 times less volume of discounts provided with better understanding of the sources of problem based on data) 3. Marketing - maximise the efficiency of marketing spends and achieving favourable outcomes with accurate measurements of marketing initiatives (20% optimisation of marketing budget) 4. Operational efficiency - reduce the time spent on reporting and analysis, minimise the influence of human factors and personal opinions, and automate various processes based on data (4 times Reduce analysis time and associated cost) MallSense is already being utilised by prominent developers of shopping centers like Aldar Properties, Hines, Nhood, Tashir, MallTech, TPS development, among others. The usage of MallSense has resulted in a 20% increase in mall revenue.