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CSR Turns to Complexica for Artificial Intelligence Software within its Store Network

4 July 2019

Complexica Pty Ltd, a leading provider of Artificial Intelligence software for optimising sales and marketing activities, announced today that it has signed a contract with CSR for Complexica’s Artificial Intelligence software for use within in its Gyprock Trade Centres.

“As the leading brand of plasterboard in Australia, CSR Gyprock is always seeking ways to provide a better customer experience and solidifying the Gyprock Trade Centres’ reputation for providing quality, value and local expert advice,” said Troy Jones, Regional General Manager. “Given the rise of Artificial Intelligence and big data analytics in recent times, we have engaged Complexica to explore how we can provide the Gyprock Trade Centre team with predictive insights on sales and customers, as well as optimised recommendations that are store and customer-specific, rather than endless reporting that needs to be analysed and interpreted."

CSR & ComplexicaJamie White, National Future Ready Implementation Manager for CSR Lightweight Systems, with Leonardo Arantes, Director of Business Development for Complexica

Formed in 1855, CSR is one of Australia’s oldest manufacturing companies. Today it is a leading building products company in Australia and New Zealand and is the name behind some of the market’s most trusted and recognised brand names. CSR generates annual revenues in excess of $2.3 billion and employs over 2,900 people. For more information about CSR, please visit: https://www.csr.com.au 

“The deployment of Complexica’s Customer Opportunity Profiler (COP) will help store managers plan and prioritise their follow up activities and enable more sophisticated conversations across the network,” said Leonardo Arantes, Director of Business Development at Complexica. “We look forward to working with CSR to better support time-poor store managers who want answers and recommendations, enabled through actionable insights and intelligent Next Best Opportunity recommendations.”

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