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anaplatform Data Consultancy
Dynamic Pricing

We develop analytical best practices for the retail industry.

Dynamic Pricing

Dynamic Pricing

Dynamic pricing is a pricing strategy where the price for a product or service reflects changing market conditions, in particular the charging of a higher price at a time of greater demand..


  • The long-tail module helps a retailer set the introductory price for new or long-tail items through intelligent product matching—that is, the module determines which data-rich products are comparable to new items (which have no history) or long-tail items (which, as mentioned, have limited historical data).
  • The elasticity module uses time-series methods and big data analytics to calculate how a product’s price affects demand, accounting for a wide variety of factors including seasonality, cannibalization, and competitive moves.
  • The KVI module estimates how much each product affects consumer price perception, using actual market data rather than consumer surveys. This enables the module to automatically detect changes as to which items consumers perceive as KVIs.
  • The competitive-response module recommends price adjustments based on competitor prices updated in real time.
  • The omnichannel module coordinates prices among the retailer’s offline and online channels.


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