Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.

Engaging and delighting fans has become the number one priority. However, the identity and behavior of fans within the stadium have been impossible to detect until Sirqul. Furthermore, standalone mobile apps historically have only seen a 5-30% penetration rate, thus leaving venues with poor data, insights and little interaction with the fan itself.This large stadium was looking for a set of recommendations to improve the fan experience, increase revenue and optimize operational efficiency based on this never seen before data.  

This partnership will disrupt the “traditional” office furniture conversation by examining the intersection of people, place, and technology. We realize it is increasingly evident that the design of spaces is an enabler to meaningful interactions between people and fosters a sense of community and culture by taking on the challenges of designing for a more productive, collaborative, and inspiring workplace, leveraging technology to process data on how people work, communicate and engage with one another.

The client faced challenges in their attempt to improve patient care through objective data gathered from smart products such as Apple Watch, Fitbit, Carbon, and Samsung Gear which relates to patient compliance with prescribed medication regimen and their lifestyle patterns. The client was searching for an appropriate analytics algorithm which would help them gain actionable insights from the unstructured data. The backend came with a hive table which helped import data to the Hadoop environment. The company faced roadblocks in extracting behavioural context over time to tailor treatment according to the needs of patients with Serious Mental Illnesses (SMI). They aimed at developing a passive sensing mobile application which would enable full control and surveillance of the patients.