Dynamic Pricing

Objective

Optimal dynamic pricing of SKUs (maximizing projected operational profit) balancing markups at all hours of the week per store, modeling mathematically the customer’s demand and sales as a function of prices, competitor prices, day of week, holidays, weather and consumer behavior trained on sales and movement data using AI models and mathematical optimization of the aggregated operational profit per store. (Pricing update frequency as short as hourly, and as long as quarterly).

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