Algorithmic Retail: Beyond Dynamic Pricing

The Wall Street Journal: “Advances in A.I. are allowing retail and wholesale firms to move beyond ‘dynamic pricing’ software, which has for years helped set prices for fast-moving goods, like airline tickets or flat-screen televisions. Older pricing software often used simple rules, such as always keeping prices lower than a competitor.”

“These new systems crunch mountains of historical and real-time data to predict how customers and competitors will react to any price change under different scenarios, giving them an almost superhuman insight into market dynamics. Programmed to meet a certain goal—such as boosting sales—the algorithms constantly update tactics after learning from experience … The software learns when raising prices drives away customers and when it doesn’t, leading to lower prices at times when price-sensitive customers are likely.”

“Algorithms can also figure out what products are usually purchased together, allowing them to optimize the price of a whole shopping cart. If customers tend to be sensitive to milk prices, but less so to cereal prices, the software might beat a competitor’s price on milk, and make up margin on cereal.”

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