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Australian Outdoor Living to use Larry, the Digital Analyst® to Optimise Marketing Mix & Media Spend

11 January 2019

Complexica Pty Ltd, a leading provider of Artificial Intelligence software for optimising sales, marketing, & supply chain decisions, announced today that it has signed a contract with Australian Outdoor Living for the deployment of its What-if Simulator & Optimiser, powered by Complexica’s award-winning Artificial Intelligence platform, Larry, the Digital Analyst®. The software will be used to optimise Australian Outdoor Living's marketing mix and media spend decisions.

 “We have selected Complexica as our vendor of choice for adding advanced prediction and optimisation capabilities to our business, and look forward to working together on our sales & marketing analytical challenges,” said Daryl Chim, Chief Operating Officer at Australian Outdoor Living. “Complexica’s What-if Simulator & Optimiser will provide us with a platform for improved decision-making across our marketing mix & media spend, leading to enhanced ROI and improved business outcomes.”

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Complexica Signs New Customers, Including Costa Group, Luxury Escapes, and Australian Outdoor Living

1 October 2018

Complexica Pty Ltd, a leading provider of Artificial Intelligence software for optimising sales & marketing decisions, announced today that it has recently signed several new customers, including Australian Outdoor Living, Costa Group, and Luxury Escapes. The engagement with Australian Outdoor Living will focus on the area of marketing spend optimisation, using advanced analytics to measure the effectiveness of AOL’s marketing spend and mix, with a view to optimise this area through Complexica’s Artificial Intelligence platform Larry, the Digital Analyst®

“As a leader and innovator in our industry, continuous improvement is part of our company culture and ethos in all areas of the business,” said Daryl Chim, Chief Operating Officer at Australian Outdoor Living. “We have confidence in Complexica’s long history of tackling difficult prediction and optimisation problems, and look forward to working together to optimise this challenging aspect of our operation.”

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