A retail group with several existing branches wanted a data-driven way to decide which locations to expand next, and how to finance the rollout without straining working capital.
Ranked existing branches by sales density, margin, and payback period to identify the profile of a high-performing location.
Analyzed category-level sales and margin trends to understand what was actually driving branch profitability.
Modeled expected ROI and payback period for candidate new locations based on the benchmarked performance profile.
Recommended a financing structure and rollout order that matched expansion pace to available cash flow.
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