Spotlight's "hyper-personalisation" efforts yield results

By

Upgrades digital commerce capabilities with analytics engine.

Spotlight Retail Group has built a digital commerce platform with Infosys technology to enhance personalisation.

Spotlight's "hyper-personalisation" efforts yield results

The retailer is responsible for brands such as fabric and craft store chain Spotlight, outdoor stores Anaconda and Mountain Designs, and department store chain Harris Scarfe.

It used Infosys' Topaz data analytics software to personalise the online shopping experience for customers.

By utilising insights about customer behaviour, the retail group said it can provide a more tailored customer journey and new services such as ‘click and collect ’and ‘made-to-measure’ for online shoppers.

The platform is credited with enabling customer base and transaction growth over the past year.

Group general manager for digital and omnichannel Tal Lall said in a statement that the company is “committed to continuously optimise customer experiences as one of our key competitive differentiators.”

“One of the ways that we’ve done this is through greater investment in personalisation, and this is core to the digital commerce platform built with Infosys Topaz, leveraging its advanced analytics capabilities," Lall said.

He said the platform “provides us with deeper customer insights while supporting scalability to meet customer demands and onboarding new brands.”

Got a news tip for our journalists? Share it with us anonymously here.
Copyright © iTnews.com.au . All rights reserved.
Tags:

Most Read Articles

BoM's seven-year technology transformation cost $866m

BoM's seven-year technology transformation cost $866m

Suncorp builds generative AI engine 'SunGPT'

Suncorp builds generative AI engine 'SunGPT'

NAB drives automation deeper into its IT operations

NAB drives automation deeper into its IT operations

Australian Public Service Commission insources employee database uplift

Australian Public Service Commission insources employee database uplift

Log In

  |  Forgot your password?