How Machine Learning Can Drive Retail Success
Bricks and mortar retailers would sooner forget 2018. The year that brought 16 U.S. bankruptcies, falling share prices for leading European brands, and the UK’s worst festive sales in 10 years isn’t an industry high point. But it does offer a crucial lesson for those struggling in a tough climate: the need to harness digital.
While footfall in stores continues to decline, online retail continues to thrive globally, with annual sales exceeding $2.4 trillion. Clearly, web-based buying is no fad; it’s a growing market shift retailers must embrace if they want to survive. And a key requirement to ensure effectiveness will be tailored advertising that reaches the right individuals, at the ideal moment. READ MORE ON: DATACONOMY