Client story

Data-driven analytics enabled the global e-commerce giant to future-proof its portfolio by optimising space

JLL used technology to prepare a comparative analysis of the space utilisation across multiple business units, helping the client draft their growth plans


Various geographies in India


A data-driven comparative study across locations and work-time zones


Covid-19 has accelerated the trend for companies to reduce their real estate footprint and optimise space to enhance efficiencies and cost savings. A global e-commerce giant was also keen to get a workplace utilisation study of their operations spanning three locations. The firm wanted a comparative analysis of all business units in these geographies. 

The firm reached out to JLL and sought help conducting this massive study. In addition, they required our expertise in ensuring that each business unit head was familiar with the study process and understood the new workplace terminology. Only then would they be able to analyse the results and use them in their growth plans. JLL’s task involved multiple observations involving 10,000+ employees working in an around-the-clock environment.


Structured planning and high-level collaboration helped JLL in the smooth execution of the project. We began by reviewing the average and peak hour space demand and studied the use of shared desks and cabins. A logical setup was made to manage output from offices working multiple shifts. 

The study gave us the base for an overall benchmark to facilitate the comparative analysis. JLL used the latest technologies and space management software to create data-driven reports and shared them with each business unit head. The reports in a customised template with an easy-to-understand output made it easy for business unit heads to comprehend the outcome and project their future space needs. 


Working methodically, JLL could deliver the workplace utilisation report for multiple locations across India. The comparative data helped the client analyse how the space is currently being used and forecast the future requirements based on inputs from different business units. The data will enable the firm to further optimise its space utilisation and ensure cost savings.