AI Decisioning

Kickstart or enhance your personalization strategy with autonomous AI agents. Embrace AI decisioning that leverages real-time data and memory to learn, decide, and personalize every customer interaction in the moment.

Graphic showing a customer profile with interactions, opportunities, and purchases.
Graphic visualizing various customer data used for ai personalization decisions.

The keys to agentic personalization

Experience the difference of AI decisioning and real-time personalization powered by Treasure Data:

  • Real time: The system adapts messaging, recommendations, and support instantly based on live data and customer behavior.
  • Autonomous AI Agents: These agents act independently, learning and making decisions without constant human input.
  • Personalization: Hyper-personalization is central to every use case, from onboarding to product recommendations. Messaging, offers, and timing are customized per user.
  • Continuous learning / AI signals: The agents learn each customer’s motivations, preferences, and behaviors.
 
We couldn’t afford to hire and retain a lot of data scientists. So we focused on making it very easy for the marketers to use predictive modeling capabilities coming out of our CDP, Treasure Data. We’ve been able to deploy LTV and RFM models very easily to the business.”
Anushil-Kumar
Anushil Kumar VP, Enterprise Architecture and Innovation
Constellation Brands

How to drive value from AI Decisioning

 

DRIVE ADOPTION

Onboard new customers


Learn each new user’s behavior and preferences, automatically adjusting messaging to guide them through the most relevant onboarding steps.

BOOST REVENUE

Recover abandoned carts


Trigger personalized messages at the right time with behavior-based incentives or reminders to encourage customers to return and complete their purchase.

REDUCE CHURN

Retain and reactivate customers


Identify at-risk customers and adjust their messaging, timing, and offers to encourage re-engagement.

INCREASE CLTV

Personalize recommendations


Continuously adapt recommendations based on real-time data, ensuring customers receive the most relevant, timely, and personalized suggestions.

IMPROVE LOYALTY

Provide proactive customer support


Create a supportive experience by monitoring cross-channel behavior and proactively suggest solutions or offer help at critical moments.

How to use AI to break away from the competition

Treasure Data vs the competition

Capability
Other solutions
Treasure Data
Personalization

Static segments, pre-defined journeys, or batch processing

Memory-rich AI agents continuously learn, adapt, and personalize in real time
Decisioning

Manual configuration of rules and workflows, or slow A/B tests

Fully autonomous AI agents make decisions and take action without human intervention
Segmentation

Complex segmentation strategies and rule-based workflows

Adapts in real-time to each customer’s behavior and context
Memory

Lacks deep, contextual understanding of customer histories and behavior

Access to a customer’s full data history, preferences, and behaviors
Engagement

Limited to specific touchpoints or campaign windows

Adapts to the customer journey and real-time data
AI is really powerful for leveraging the consumer data we have. Having a unified consumer view … can be overwhelming, so we use AI to manage this more efficiently.”
Natalia-Spada-Ribeiro-100x100
Natália Spada Ribeiro Group Data Product Manager
Nestlé
 

Drive smarter, more efficient engagement with AI