KONE moves more than 1B people per day around the world. What can we learn from the collected data to improve the flow of urban life? What additional data sources could be combined with ours? We are looking for a broad range of new services on how to utilise data-based learnings in our operations.
Theme Description
KONE elevators and escalators keep people on the move safely, comfortably, and efficiently worldwide. Cities becoming smarter provide more data for further utilization, such as addressing user needs, improving customer experience, and mitigating arising risks. We want to take advantage of the world becoming smarter and more digitalized to identify and address the real needs of our customers. Through a blend of KONE products and services with cutting-edge technologies we want to analyze deeper people flows and continue with testing, adapting, and refining our solutions accordingly, continuously improving people flow in homes, neighborhoods, and cities.
In parallel, the accumulation of data allows us to optimize and refine our processes.
Opportunity Overview
We are looking for new and remarkable ways to interact with people flows and improve our product and service offering accordingly. No matter if your solution takes advantage of existing KONE and external data sources, or if it suggests new ways to gather it – we are interested to hear about you.
Examples we're looking for
Permanent Data Analytics
As cities and buildings are increasingly equipped with data sensors, there are massive opportunities to provide analytics and new services. KONE moves more than 1B people per day and we have already gigabytes of untapped historical data that needs smartest AI companies to combine it with other smart city data sources to create new insights, more efficient solutions and yet unknown business opportunities, all to improve people flows.
Temporary Data Analytics
What can we learn from smart buildings? We are looking for new ideas how to extend the current data set and address untapped business opportunities. No matter whether the new type of data will be collected continuously or only temporary from time-to-time, we are looking forward to brand new implications of data sources and analytics in people flows.
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