How to meaningfully categorise different store types to help expansion and refurbishment decisions
A Leading Fast Food Chain was looking for a data-driven classification/clustering of their restaurant estate to help identify opportunities within and across their stores to generate additional ROI.
They also wanted to understand where the gaps and challenges were in their data.
• A filterable report where a leading fast food chain could investigate and benchmark:
restaurant clusters, and
restaurants within their respective clusters.
• A set of ‘pen portraits’ of each of the clusters setting out key attributes including performance, customer types
• Ability to use these clusters to optimise their estate planning operations and improve ROI. This helped to roll out EOTF and new branch openings in areas where the analysis suggested strong performance.