Whitespace Analysis
Discover growth opportunities with machine learning.
Apply machine learning algorithms to client data synthesised with external data to classify the performance of a portfolio of stores, and understand the drivers of this. Use the same model to identify new potential sites presented in an interactive and dynamic dashboard to quickly and easily gain deep insights into these prospective sites. Suitable to all stages in the deal lifecycle.
Key outcomes:
Increase sales and inventory turnover with well informed, data-driven store expansions. Discover hidden value or potential market saturation. Increase valuation with expansion opportunities.
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