Market Basket Analysis
Praelexis helped an FMCG retailer move beyond generic industry standards by building machine learning models that decoded real customer behaviour and enabled hyper-personalisation.
Data-Driven Retail
Praelexis partnered with a Fast-Moving Consumer Goods (FMCG) retailer to revolutionise its approach to consumer insights using advanced machine learning. By replacing generic industry taxonomies with tailored algorithmic models, the collaboration unlocked highly precise, data-driven customer archetypes.
The project focused on leveraging the retailer's extensive transactional data to move beyond outdated, broad industry standards. Through advanced market basket analysis and predictive clustering models, the initiative sought to decode complex purchasing patterns to enable hyper-personalisation, optimise store layouts, and introduce highly tailored promotional bundles.
The retailer previously relied on generic, industry-defined standards and traditional taxonomies to segment its consumer base, which failed to capture authentic customer behaviour.
Praelexis implemented machine learning clustering models to analyse customer basket data and identify distinct, behaviour-based shopping patterns.
Key Outcomes
Hyper-personalisation Enabled
Store Layouts Optimised
Marketing Bundles Tailored
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