Learn from people’s behaviour as they engage
Real-time analysis of people’s live behaviour while they interact with the experiment means you can see in an instant what they like and what they don’t like. No more guesswork or hypothesising based on prior data. Be ever-present, learn as you test in real-time and delight your customers by offering highly personalized, relevant offers.
Discover new trends with or without data
Gain new knowledge and insight into trends and markets as they unfold. You don’t even need data to start running experiments. You can start with a cold start if you don’t have data and continuously ingest data throughout the day and night to update your option stores. This improves the performance of your recommenders by eliminating bias and reliance on prior data and gives you real-time feedback as customers interact or engage with you.
3. Deploy recommenders faster using a low-code environment
A low-code environment that integrates seamlessly with your environment lets you create, edit, and manage a multitude of competing experiments from one centralized location. Because the experiment is continuously learning from customers’ real-time reactions, both system knowledge and understanding of what people truly want is greatly enhanced.
Test, adjust and learn while you’re in production
Dynamic experimentation gives you the tooling and real-time scoring to continuously learn and grow while you’re in production. You can learn while you’re going through the traditional data science process. Meaning you no longer have to wait to get all your data together, or for the experiment to finish to understand and improve your outcomes. You can make the right decisions and improve your customer experience as you get real-time feedback in production.
Use behavioural analysis to recommend more personalized offers
Set up calendars and key dates or events that include rituals. Monitor behavioural changes and analyze how the popularity of things shift over time. This allows you to adjust your offers accordingly to provide a much better customer experience.
When companies shift to experimenting dynamically, they tap into endless opportunities to learn more about the individuals they interact with and what they engage with.
ecosystem.Ai’s low-code platform lets you do this. Because you are permanently in production, you can tweak parameters while running your live tests and experiments. This lets you be creative with your data science capabilities, without worrying about the infrastructure to support your desired outcomes. Letting you focus on delivering the right product, at the right time, to the right customer.