Retail

Bringing Big Data solutions to the retail sector

introduction

We help data owners monetise data sets in the retail sector, developing tailored insights that inform business decisions, either at a single store level, high street or shopping centre, or across a network of stores.

Working closely with our clients, we extract, clean and process location data, including cellular, Wi-Fi, GPS and App data. 

Our advanced analytical methods allow us to provide retailers with unparalleled insight into the behaviours and characteristics of their customers. This might include itineraries and dwell patterns, as well as demography.

The derived insights can be used to benchmark and monitor retail performance against KPIs and used together with the retailer’s own data to help inform strategy and operations.

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use cases

Catchment analysis

Insights relating to journeys to and from a location

Home and work location analysis

Insights to inform branch opening hours and closures

Demographic Analysis

Gender, age and audience profiling of people visiting a specific location

Itinerary
Analysis

Segmentation of visitors based on their itineraries within a store or area

Demographic Analysis

Gender, age and audience profiling of people visiting a specific location

Home and work location analysis

Insights to inform branch opening hours and closures

Catchment analysis

Insights relating to journeys to and from a location

Use Cases

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This research is intended to provide a better foundation for the scope, refinement and integrity of our current practice - allowing us to work more credibly and expand into new sectors while continuing to adopt the latest techniques available. We are already working with a number of organisations in our research efforts.

Publications

  • Lovreglio, R, Kuligowski, E, Gwynne, S, Boyce, K, A Pre-Evacuation Database for Use in Egress Simulations, Fire Safety Journal, 2019 (in Print).
  • Intini, P, Ronchi, E, Gwynne, S and Pel, S, Traffic Modeling for Wildland–Urban Interface Fire Evacuation,  J. Transp. Eng., Part A:Systems, 2019, 145 (3): 04019002
  • Gwynne, SMV and Hunt, ALE, Testing Evacuation Models, Pedestrian and Evacuation Dynamics, 2018.
  • Gwynne, SMV and Hunt, ALE, Deducing the Impact of Excluding Social Groups When Modelling Pedestrian Flow, SFPE EXTRA, 30, June 2018.
  • Gwynne, SMV, The Unintended Consequences of Ignoring Evacuee Response, Fire and Evacuation Modeling Technical Conference (FEMTC) 2018, Gaithersburg, MD, USA, 2018.

  • Ronchi, E., Kuligowski, E. & Gwynne, S. Fire Technol (2019) 55: 387. https://doi.org/10.1007/s10694-018-0807-y
  • Gwynne,S.M.V., Hunt, A.L.E., Thomas, J.R.,Thompson,A.J.L. and Séguin,L., The toilet paper: Bathroom dwell time observations at an airport,Journal of Building Engineering, 24,2019, 100751.
  • Gwynne, SMV, Ouellette,J, Brown, R and Kinateder, M Developing a Notation for Mapping Evacuee Performance, Interflam 2019,Interscience, 2019.
  • Johansson, A, Ronchi, E, Gwynne, SMV, Thompson, A, and Thomas, JR, Quantifying the Impact of Luggage on Aircraft Deplaning Scenarios, Interflam 2019, Interscience, 2019.
  • Kinsey, M, Gwynne, SMV, and Kinateder, M, Burning Biases: Mitigating Cognitive Biases in Fire Engineering, Interflam 2019,Interscience, 2019.
  • Gwynne, SMV, Modelling and Mapping Wildfire Evacuation, Keynote Presentation, IFireSS 2019, Ottawa, Canada, 2019.

References
[1]
 http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8967276&fileOId=8967283
[2] https://www.sciencedirect.com/science/article/pii/S0379711218302212
[3] https://www.nfpa.org/News-and-Research/Resources/Fire-Protection-Research-Foundation/Current-projects/WUINITY-a-platform-for-the-simulation-of-wildlandurban-interface-fire-evacuation

Related case studies

  We are seeking to collaborate with organisations engaged in research.
If you wish to discuss potential research opportunities, please contact Dr. Steve Gwynne.