Sales decisions that move at customer speed
Deliver the Best-Fit Offer in the Moment it Matters Most
The Intelligent Sales Module identifies and responds to moments of opportunity across the customer lifecycle.
Using behavioral prediction, dynamic pricing, and product matching, it generates the next-best offer and deploys it in real-time – when the customer is most likely to act. Offers can be triggered by inbound behavior or system events.
It doesn’t just match people to products; it matches products to each other; curating bundles, upgrades, and service combinations that maximize both customer value and sales outcomes.
The result is a continuously optimizing, self-learning system that turns interactions into revenue at scale
Behavioral sales logic that’s continuously learning
Drive Real-Time Product Matching, Bundling, Pricing, and Refinement
The Module allows the system to quickly identify effective offers for new users through real-time experimentation.
- Uses dynamic testing to explore offer variants on first engagement
- Avoids stagnation by periodically introducing new content
- Automatically reallocates traffic to best-performing options
- Ensures early-stage interactions are optimized for conversion
- Detects behavioral triggers, such as low balance, browsing signals
- Delivers offers when the user is most receptive
- Avoids fatigue by suppressing messages at low-interest moments
- Increases perceived helpfulness and relevance
- Learns product affinities and complements
- Builds custom upsell bundles per user
- Promotes upgrades that reflect real behavior
- Works across services and touchpoints
- Links pricing to loyalty level, previous actions, or urgency
- Supports discount testing via Experimentation Module integration
- Dynamically surfaces the “right” price for conversion
- Avoids blanket offers by using margin-aware personalization
Built to deliver, wired to learn
The Intelligent Sales Module runs inside the ecosystem.Ai Prediction Platform and is deployed via UUIDs to any customer-facing channel.
Configure logic and offers via the Workbench or Notebooks embedding into live environments through API, JavaScript, or client event responders. The system monitors customer behaviors, detects moments of readiness, and delivers the best-fit offer.
Feedback from engagement is captured instantly, updating the recommendation logic without requiring retraining or redeployment. It can operate independently or plug into other modules like Spend Personality, Real-Time Recommenders, or Dynamic Experimentation.
