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Distribution Spatial Footprint

Conduct a spatial exploration of your distribution network. Answer strategic questions on coverage and competitive positioning.

This project offers a plug and play solution allowing retail analytics teams to understand the spatial footprint of their distribution network using a Dataiku powered WebApp. With easy tailoring of the project through a Dataiku Application and capacity to adjust the data flow to their needs, the Distribution Spatial Footprint enables retail companies to reinforce their distribution strategies. More details on the specifics of the solution can be found on the knowledge base.

Highlights

  • Enrich analysis of your distribution network by computing isochrone areas for each of the points of sale (POS) in your network
  • Input customer data to enhance the analysis of your network even further and optimize customer coverage
  • Analyze the spatial implantation of your distribution network to optimize your distribution network and supply chain
  • Visualize customer data and your distribution network with pre-built dashboards and a visually rich interactive WebApp
  • Rerun the entire data pipeline on new data and isochrone areas using a simple application
  • Learn how to build further upon this solution to fit it to your specific needs

Business Overview

Geospatial analysis is a set of techniques aiming at collecting, processing and analyzing data from all kinds of technologies such as GPS, location sensors, satellites etc. It uses any data that has a geographic component attached to it, including geographic coordinates and specific identifiers such as street address and zip code.

For retailers and all other activities highly dependent on end-customer facing through stores and other distribution points, understanding how to best structure this network is critical, with the potential of generating up to a 20% in sales increase. Achieving these results demands optimizing both global and local network strategies through a broad scope of use-cases: 

  • Global:
    • Optimize the distribution network: opening stores in high potential areas, closing stores in low potential areas, relocating stores to better manage the overlaps between POS (Point Of Sale)
    • Optimize the supply chain: find the best places for new distribution centers
    • Tailor competitive strategy based on overlap with competitors
  • Local:
    • Adapt the POS strategy (products, messaging, merchandising etc.) depending on the catchment area
    • Optimize marketing campaigns based on distribution networks and landmarks, including geo targeted Ads

Installation

  • Requires DSS v9+
  • Prior to installation, your Dataiku instance Admin will need to create a code environment and download the required plugins.  The full list of requirements can be found here.
  • Once your instance has been prepared, you can install this pre-packaged use case in one of two ways:
    • On your Dataiku instance click + New Project > Sample Projects > Solutions > Distribution Spatial Footprint
    • Download the .zip project file and upload it directly to your Dataiku instance