3 Technologies Leveling the Playing Field for Small Retailers

Recommendation Engines
Personalization technologies like product recommendation engines aren't new. They've been around for more than two decades since Amazon first added product recommendations to its platform. Netflix followed suit, spending millions to build out its own recommendation engines. (The company famously spent $1 million on a recommendation algorithm that it ended up not using largely because it was taking too much engineering resources to maintain and update.) These expensive technologies were out of reach for smaller retailers who couldn't afford to build and maintain their own recommendation engines.