Home » ML/AI Hackathon: Visualising and Modelling Retail Footfall Data

ML/AI Hackathon: Visualising and Modelling Retail Footfall Data

Date/Time
Date(s) - 04/06/2016
9:00 am - 5:00 pm

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The CDRC will be hosting a hackathon on Saturday 4 June 2016, 9am – 5pm –  the focus is ‘Why monitor footfall?’.

With an increasingly competitive and dynamic retail landscape there is demand  for empirically grounded insight upon which to make decisions. Footfall data are often used as key performance indicators of and within town centres, as  such measures roughly correspond to both demand, and by analogue spend within stores. Within this context traditional methods of collecting such data through manual counting and survey are increasingly being supplemented or replaced by automated sensor based methods that offer both greater temporal
granularity and extent.

Interested candidates are advised to bring your own laptop for this event. Food and drinks will be provided.

Data Challenges

There are a series of broad challenges that various stakeholders might be interested in exploring. These could include:

  • Data linkage
  • Visualization
  • Tracing trajectories between sensors
  • Inferring routes (e.g. coupling to routing algorithm)
  • Identification of hotspots/cold zones
  • Exploring the intersection of trip behaviours with different retail types e.g. do certain combinations of store increase or decrease dwelling times
  • Investigating the relationship between anchor stores and generation of “linked trips”
  • Using footfall to estimate business rates (after abolishing the uniform business rate)
  • Exploring temporal patterns and behaviour change e.g. weather impacts, large events

To register