We believe that understanding how people use a space will open up huge productivity improvements in process management, planning, staffing, operations, advertising and more.
From the starting point of simple people counts, we have moved to sophisticated occupancy and staffing metrics, with many new technologies in the pipeline. Our mission is to lower the barrier to entry of these technologies and deepen their link between the data and the process that is driven by it.
What has traditionally been a highly technical, heavy and service-based industry, we want people to easily try out and smoothly embed in their spaces in order to optimise and iterate their day-to-day operations.
Where more tickets are sold if there’s capacity. Where a venue understands which marketing works or doesn’t, and the staffing reflects the demand. We believe heating and cooling should only be used if there are people present, cleaning and maintenance processes respond to the usage rather than timers, rooms or halls are allocated by actual usage and much much more.
both the input and the output must be logical and aligned with how humans actually think about spaces, rooms and buildings
completely self-installable and easy to manage
privacy comes first. The entire stack is designed to avoid or eliminate all personal data.
Case Study: How Center Parcs Use Occupancy Data To Drive Better Guest Experiences.
We initially trialled the HoxtonAi solution on a small scale to ‘kick the tyres’ and see if it’s a ...Read more
Case Study: How Bruntwood Grew Occupant Trust And Operational Confidence By Scaling Up Smart Building Data.
Our retail proposition in Afflecks trades very differently from our core retail proposition and we ...Read more
Case Study: How Ribble Measure The Impact Of Their Retail Stores Within Their Omnichannel Strategy.
HoxtonAi is an integral part of our omnichannel strategy, and I’m excited to keep building on the ...Read more
Case Study: How Techniquest use occupancy data to maximise the visitor experience and create positive growth for the company.
Once we saw the graph, we realised we were able to admit 50% more visitors in the first time slot ...Read more