From prediction to autonomous action. Explore how different levels of AI are transforming customer service and order management by simulating a real-world scenario.
A critical customer order is at risk of a 48-hour delay due to a logistics issue. Click below to see how each type of AI would handle the situation.
The Predictor
Traditional AI and Machine Learning models analyze historical data to identify patterns and predict future outcomes, such as order delays, customer churn, or the likelihood of returns.
Awaiting scenario start...
The Communicator
Generative AI uses large language models to create new, human-like content. In this context, it crafts personalized customer communications for shipping updates, claims, and issue resolutions.
Awaiting scenario start...
The Actor
Agentic AI takes autonomous action. It not only identifies problems but also formulates and executes solutions, such as finding and booking alternate shipping to avoid a delay and then notifying the customer.
Awaiting scenario start...
This chart visualizes the key differences in autonomy, complexity, and human oversight required for each AI type. The progression shows a clear shift towards more sophisticated and independent systems.