A large Nordic online retailer was setting prices across a big catalogue without a clear view of how sensitive each product was to price, and without visibility of what competitors were doing.
We embedded a senior data scientist to model price sensitivity product by product and build decision support for real-time pricing. The models propose better prices for the top-selling products and explain why each price should move, and a separate tool flags competitor price wars as they start.
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