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Intellify

Phone: +61 2 8089 4073

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20.01.2022 Recommendation Engines have come a long way in the last two decades since Amazon.com started experimenting with collaborative filters in the late 1990s. Now a very significant portion of the amazon.com's revenue is powered through these recommendations and personalisations. Please join us in this webinar learning about the latest and greatest in personalisation and its impact on sales through cross and upsell. https://www.eventbrite.com.au/e/increase-sales-resilience-d

09.01.2022 Are you interested in optimising your prices? Hear how we helped create a price optimisation framework for one of the largest sea travel operators in Australia. By leveraging Intellify’s extensive experience in pricing optimisation, we helped Sealink’s pricing stakeholders use state-of-the-art machine learning and optimisation techniques to realise a potential increase in revenue of ~20%.

07.01.2022 Most B2C companies have been able to realise the value of Machine Learning. However, few B2B companies have been able to follow suit even though there are huge opportunities for value creation. Join us online tomorrow at 10.30am (AEST) as we host a joint webinar with Ultra Commerce to learn how B2B businesses are creating value through automating manual processes to streamline their supply chain and optimise inventory management. Click the link below to register your virtual ...seat. We hope to see you there!

07.01.2022 Find out how we delivered tangible business value for nib by developing a novel approach to Outstanding Claims forecasting using Machine Learning in our latest success story. Collaborating with the nib actuarial team, Intellify developed a statistical time-series based framework on Amazon Web Services (AWS) and Databricks that saw a substantial reduction in the error of nib's Outstanding Claims forecast. Contact us today to find out how we can transform your approach to insu...rance. https://intellify.com.au//outstanding-claims-forecasting-/

01.01.2022 Our recent webinar is now available to watch On-Demand. Hear from our Co-CEO, Kale Temple as he passionately demonstrates how the use of Machine Learning can rapidly accelerate your companies innovation. Key takeaways: 1. Substantial value can be found in undertaking a ML initiative with the right conditions... 2. Most use cases relate to growth or costs improvements 3. Strong data and cloud foundations are needed to build machine learning effectively 4. Start with the business problem and work your way backwards to a technology solution