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Leveraging IoT for Efficient Employee Commuting Post-Covid-19: A Case Study of Acme Corp
Technology Category
- Infrastructure as a Service (IaaS) - Public Cloud
Applicable Industries
- Buildings
- Transportation
Applicable Functions
- Logistics & Transportation
- Product Research & Development
Use Cases
- Autonomous Transport Systems
- Vehicle-to-Infrastructure
Services
- Training
The Challenge
The Covid-19 pandemic has led to a significant increase in remote working worldwide. As restrictions begin to lift, employers and employees face new challenges related to commuting safely and minimizing risk. This case study focuses on the imaginary example of Acme Corp, a company with around 1,000 employees across Greater London, operating from five different offices. The company needed to answer critical questions such as: What commute options are available for our employees if they wish to avoid using public transport? How can we efficiently allocate our employees between our multiple offices? How can we help employees avoid particularly busy stations or train lines? And how should we best consolidate the number of sites that we operate to minimize the impact on employees? These questions are not only relevant to Acme Corp but also to other organizations across various industries.
About The Customer
Acme Corp is a fictional company used in this case study as an example. It is a large organization with around 1,000 employees spread across Greater London. The company operates from five different offices. Like many organizations worldwide, Acme Corp has been grappling with the challenges posed by the Covid-19 pandemic, particularly in terms of ensuring safe commuting options for its employees as they return to work. The company is also considering consolidating its real estate portfolio by closing one of its offices. In addition, Acme Corp is looking to expand its workforce and is keen to attract new talent from outside of London.
The Solution
To address these challenges, Acme Corp leveraged Alteryx, a data analytics platform, and a range of macros from TravelTime. The solution involved creating a workflow to calculate the journey times for each employee to each office by different transport types – Cycling, Driving, Public Transport, and Walking. This data was then used to identify opportunities for employees to commute to one of the five different offices by a method of transport other than public transport. For employees who still wished to commute by public transport, the data was used to allocate them to the nearest office. The solution also involved identifying high-risk individuals and ensuring that if they needed to travel using public transport, they were allocated to offices which avoided public transport routes that involved changing at busy stations. Finally, the solution helped Acme Corp decide which office to close based on accessibility by walking and cycling, and the potential impact on their ability to attract talent from outside of London.
Operational Impact
Quantitative Benefit
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