Event
Retail & e-commerce · 16
Product Intelligence
Connects customer evidence to prioritisation, adoption, experiments and product commitments.
Business problem
Product Intelligence · Not another CRM. Not an AI chat.
In the Product Intelligence domain, critical signals are scattered across systems and teams. Decisions arrive late, ownership becomes unclear and the business sees the issue only after money, time or customer trust has already been lost.
How this domain operates
Example operating scenario
Decision
It combines business context, policy, priority and risk before choosing the next step.
Action
It initiates the controlled response: Feedback classification.
Result
COS verifies completion, measures the effect and escalates when the expected result is missing.
Operational outcomes
From visibility to controlled execution.
01
Feedback classification
02
Value-based prioritisation
03
Activation and churn analysis
04
Launch and experiment control
Signals COS acts on
Designed around real operational events.
Feature request
Usage drop
Experiment ends
Commitment due
What to measure
- Process cycle time
- SLA and deadline compliance
- Manual coordination hours
- Exception and error rate
- Revenue, margin or cost impact
Controls and human responsibility
- Role-based access to data and tools
- Human approval for high-risk or irreversible actions
- Complete audit trail from signal to verified result
Start with this domain
Start with one costly process.
Connect the systems involved, define the operating rule, measure the baseline and let COS close the loop. No rip-and-replace programme.