A retailer sought big data analytics to improve its recommendation engine for sales through multiple channels, including mobile devices. Accenture project teams worked to improve the speed and effectiveness of systems that suggest products and services most likely to appeal to individual customers. After implementation in one channel, the analytics-powered solution helped the retailer enjoy a multimillion-dollar boost in e-commerce revenues in only three months.
This large global retailer operates a robust website for e-commerce, offering products and related services through online and mobile channels, with product pickup available at physical store locations.
Consumers have many choices, and e-commerce systems must provide appealing suggestions before impatient customers defect to competing websites. Due to increasing data volumes, diverse information sources and complex processing requirements, the retailer struggled to deliver speedy online computing.
Accenture previously assisted the client with application development and support, as well as with several other projects. Leaders of the retail company asked Accenture to start developing a solution that could optimize e-commerce results in line with high performance in the digital age.