Retail
Retail Demand Forecasting
How a retail chain replaced a spreadsheet forecast with a store-level weekly forecast — validated on future periods, holiday-weighted and delivered with a range operations can plan against.
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Retail
Customer, product, store and pricing analytics for retail teams — connecting demand, inventory and promotion data to decisions the merchandising team can act on.
In retail, data analysis often focuses on understanding customer preferences, managing inventory efficiently, and optimizing marketing strategies. You seek to leverage data for better product placement, personalized offers, and to streamline operations. However, you may struggle with integrating diverse data sources and conducting real-time analytics.
We help connect those sources, build a view of demand and customer behaviour, and test whether the resulting actions — assortment, pricing, promotion — actually move sales.
Projects in Retail
3 projects
Retail
Bicycle Sales Performance Review
Six years of multi-country sales lines where half the years are only partly covered, Bikes carry 72% of revenue but a third of the margin rate, and the file has no order or customer identifier at all.
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Retail
Customer Segmentation & Value Analysis
How we turn order history into customer segments a retail team can act on — RFM at the right grain, cohort retention, product affinity and a clear line between description and prediction.
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Focus on your business; let us back you up with data support