Target Australia is on a mission to up its eCommerce offering, introducing a new cloud provider to its platform.
The new platform updates Target's legacy on-premises systems that could not handle the up to four times increases in demand during sales and new product launches.
The new service gives Target a faster, more resilient eCommerce platform that updates online store inventory in real time.
In addition, the retailer was able to launch a new search function that makes it easier to find products on the site and provide additional relevant product recommendations that improve the consumer experience.
Further, the new platform gives the retailer data and consumer insights, helping marketing teams to tailor product promotions and communications to personalise the shopping experience further.
Target Australia MD Richard Pearson welcomed the launch of the new platform.
"In eCommerce, every second counts for consumers who want to make purchases quickly.
"With [our new platform], we have been able to significantly increase the speed and resilience of our online shopping platform, making our customers happier and driving sales in the lead up to the holidays," he said.
To further enhance the skills of the teams using the new platform, Target rolled out a training program in partnership with its new cloud provider in 2019.
Technical teams, executive assistants, store managers, finance teams, inventory staff, and executives took part in the training to lift their skills.
Since then, 100% of Target's technical employees have achieved a certification.
This training approach allowed Target to build cloud fluency across the organisation and ensures that the company’s employees have the skills to create new retail experiences.
"Target is focused on simplifying online shopping, prioritising online growth, and improving our product offering," Pearson added.
"[Our new platform] has been invaluable to Target as we grow our online presence, while equipping employees with skills to reimagine the retail experience through cloud, data analytics, and machine learning," he said.