Machine learning is a field of data science that uses algorithms to make observations and predictions, and discover insights from often complex data and statistics. These can be used to inform real-world strategies that help ecommerce sites adopt a data-driven approach to meeting and beating KPIs. They can also power digital processes like chatbots and automated omnichannel personalisation.
Deep learning is a branch of machine learning using multiple ‘deep’ layers of connected nodes that mimic the brain’s neural pathways to enhance, improve and expand upon single-layer insights.
Technologies powered by deep learning and neural networks can quickly analyse and learn from vast datasets to make accurate decisions about everything from winning chess strategies to fraud detection and getting self-driving cars home safely.
For Attract, they are the tech behind a powerful product discovery engine that analyses shoppers’ data profiles to make suggestions based on similar users’ data and ensure relevance at all stages of product discovery.
It’s just one of many game-changing ecommerce applications, including:
- AI-powered search
- Omnichannel personalisation
- Product discovery and recommendations
- Chatbots and virtual assistants
- Identifying new market segments and trends
- Inventory and listings management