Opinion: Celta Case Study Digital Communication
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How Location-Based Technology Empowers Electrolux Smart Home Appliances Electrolux uses real-time weather and environmental data as a basis for smart app recommendations regarding when to use appliances such as clothes dryers, air purifiers and air conditioners. Connected Electrolux home appliance Image credit: Electrolux GW Prime Electrolux is a leading global appliances company, producing a wide range of consumer electrical goods, including washing machines, cookers, vacuum cleaners, refrigerators, etc. This data is then used as a basis for smart app recommendations about when to use appliances such as clothes dryers, air purifiers and air conditioners.
With supervision from an experienced team of meteorologists, IBM uses AI and Celta Case Study Digital Communication to pull weather models together with relevant data sources and arrive at the most accurate forecast.
Connected home ecosystem The real-time, location-based weather predictions are made available through the Electrolux Life App. Users are Celta Case Study Digital Communication to use their clothes dryer when rain is forecasted or when the air quality is not acceptable for air-drying. Similarly, the application recommends not to use the dryer when the outdoor weather is optimal for air-drying, thus saving energy. The app can also control inputs for other appliances, such as the humidity control for air conditioners and accurate readings of indoor and outdoor weather to inform the use of air purifiers. An entire ecosystem of multiple connected appliances benefits from access to accurate weather forecasts, as well as environmental factors such as air quality, pollen, pollution and more. Electrolux Life App with IBM weather notifications Image credit: IBM Location tech enabling hardware-as-a-service business model InElectrolux kicked off trials of new hardware-as-a-service business models in Sweden and China, enabling consumers to subscribe to, rather than purchase, its products.
For instance, in Sweden, customers can subscribe to a robotic vacuum cleaner on a pay-per-use basis from only 1 SEK per sq m cleaned. The vacuum cleaner is equipped with a variety of sensors and software, including a location-based 3D Vision camera and laser for accurate navigation and area cleaned calculation.
Usability benefits
With Electrolux connected ecosystem technology, users can control the product via an app and schedule cleaning when they are away from home as well as monitor the number of sq m cleaned each month. Demand planning and prediction Electrolux also uses AI to plan and predict demand. By enhancing its historical sales data with data from external sources, the company ensures that retailers have the right goods when customers are demanding them. For example, weather data is used to predict sales of air conditioners during summer time in Sweden.
Using advanced statistical models, the data science team at Electrolux predicts the exact amount of the right products to be supplied to retailers at specific times of the year. In addition to weather data, the company also monitors the Internet for online reviews, ratings and prices of products in both retail stores and online stores, including price promotions by competitors.
It uses this data to avoid oversupply, hence retailers do not need to offer excessive discounts due to overstocking.
Since Electrolux products are supplied to different parts of the world, location technology is crucial to tune its manufacturing, distribution and customer supply chain. Based on the demand prediction, products are distributed from warehouses near the factories or plants, to redistribution centres. The demand planning practice helps optimize suppliers, logistics chains and transport, giving Electrolux a competitive advantage in the white goods market. Location-Based Services in Smart Home Appliances Real-time, location-based weather prediction data can Celta Case Study Digital Communication users to either use clothes dryers or air dry their clothes to save energy.
Hyper-localized data on air quality, pollen levels and pollution helps inform users on whether to switch on their air purifiers at home or leave them off.
Time saved
Accurate readings of indoor and outdoor temperature and humidity lead to sustainable use of air conditioners. Location-based sensors on vacuum cleaners allow users to accurately measure the total sq m area cleaned so they can use pay-per-use subscription services. More Prime Read.]
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