AI-Powered Retail: How Amerinda Takes Personalisation to the Next Level
Do you know that almost all (95%) of Australian retailers are turning to AI to create more targeted, personalised marketing efforts? It is proven that AI-powered shopping assistants increase customer satisfaction rates as they anticipate clients’ preferences and make predictions on the types of products they would be most interested in.
In this exclusive case study with Eric Bruzek, Founding Partner, Amerinda Advisory, we dive into the world of retail personalisation, where retailers leverage on trusted data infrastructure and deploy AI to recreate unparalleled shopping experiences.
With Amerinda’s trusted expertise in disruptive technologies, they are poised to enhance retailers’ understanding of consumers’ needs through data-driven marketing and orchestrating shopping experiences to make their brands stand out from the pack, capturing both mind- and wallet-share.
Here are insights that you’ll uncover in this case study:
- Learn how you can build clean, consistent, and robust data infrastructure to run advanced AI-driven algorithms for personalisation, increasing conversions and upsell rates!
- Creating an omnichannel experience can be tough, as synchronising online and in-store inventories for stock optimization requires a strong technical foundation to provide real-time information, thereby reducing stockouts and excess products!
- Leverage on advanced AI-driven solutions to identify demand patterns such as seasonal fluctuations and unexpected spikes to inform future marketing strategies