The technology company participates these days in the event of mobility Barcelona to show this magic mirror and the Predictive Maintenance solution; its innovations in big data and artificial intelligence.

The Magic Mirror system Bismart is a personal shopper scheduled in the mirror of the store, pre-scan of the face, recommends that the client garment that best suits him. This magic mirror that shows the company MWC 2017 Barcelona responds to market demand for patterns of behavior, hidden data to uncover new customer segments, identify buying behaviors and even prevent accidents.

Through facial recognition technology based on Microsoft Cortana Intelligence Suite, Magic Mirror offers customers an experience out of the ordinary when shopping. The tool streamlines the process by proposing buyer and suggest items and potential trends for the customer, all based on emotions, tastes, interests and purchase history of the customer.

The suggestions come from a personal shopper BOT scheduled in the mirror of the store, providing the customer with an innovative point of contact with the store and the brand. Operation is simple: the customer only has to walk to the mirror and let the tool recognize who he is and show your personal profile.

Magic Mirror will recognize the features of the client, and analyzes whether you prefer the latest seasonal trends, buy some more casual garment or an article with the discounted price. The client displays pictures of himself with the costumes suggested, choosing the clothes and accessories that best combine.

In addition, Magic Mirror allows the client to connect to social networks and share images of advance purchases with friends, receiving live their views and comments. Once you have chosen your purchase, the system will provide useful information such as the exact location of the item in the store, and boxes with less waiting in which you can make payment.

Para Albert Isern, CEO de Bismart, “analizar el comportamiento, las necesidades y la actitud del consumidor para tener un mejor conocimiento de los clientes es uno de los principales usos de la inteligencia artificial. Las empresas utilizan, en mayor o menor medida, técnicas de big data para capturar, tratar y analizar gigantescos volúmenes de datos para predecir el futuro. Ése es el objetivo. Anticiparse”.

The predictive maintenance technology uses complex statistical models, combined with the Internet of Things (Internet of Things - IoT), to predict when, where and why failures machinery will be produced, optimizing maintenance and increasing satisfaction users.

Specifically, predictive maintenance uses complex statistical models from all the information gathered from sensors connected to the (IoT) network, which allows to know in advance when, where and why failures machinery will be produced, for example optimizing the work of maintenance teams and increasing user satisfaction.

Another project of technological Bismart is EBC Brussels, which collaborates with predictive maintenance solution for healthcare. The division Microsoft Western Europe has a permanent installation in the center of demonstrations (Executive Briefing Center - EBC), located in the Belgian capital, which has been called Cities of the future (future cities), which provides future projections and where will data analysis, machine learning and IoT.

This solution detects air pollution combined with other variables such as traffic congestion, changes in climate and income history to the emergency room for respiratory diseases, provides early warnings of potentially dangerous levels of pollution in the air a city in real time, allowing governments to take preventive measures to avoid serious health damage to the population.


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By • 28 Feb, 2017
• Section: Cases of study, Distribution signals, Events, Business, Networks

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