Customer Experience Engine
"Measure satisfaction. Close the loop fast."
Connects satisfaction scores to revenue outcomes, identifies the highest-impact CX drivers, and routes complaint signals to the right fix team with predicted resolution time and escalation risk — automatically.
Key Applications
+ 3 Additional Industry Applications
Strategic Outputs
- CX driver priority matrix
- Complaint routing & triage
- Escalation risk scores
- Resolution time predictions
- Return root-cause dashboard
Ecosystem Integration
Decision Framework
Managed intelligence layers that scale with your enterprise operations and data complexity.
Descriptive Analysis
Strategic parameters & pipeline architecture
Real implementation stack — ML × Model × Neo4j graph layer
Ingest
Structured signals batched via async pipeline into staging layer
Transform
Graph relationships built — Model applied on entity nodes
Serve
Scored outputs streamed to Enterprise endpoints in real-time
# Customer Experience Engine — ingestion pipeline
import asyncio
from neo4j import AsyncGraphDatabase
from pydantic import BaseModel
class ModelRecord(BaseModel):
entity_id: str
structured_score: float
metadata: dict[str, str]
async def run_pipeline(
records: list[ModelRecord],
uri: str,
auth: tuple[str, str],
) -> None:
driver = AsyncGraphDatabase.driver(uri, auth=auth)
async with driver.session(database="neo4j") as session:
await session.execute_write(
_merge_entities,
[r.model_dump() for r in records],
technique="ML",
)
await driver.close()
async def _merge_entities(tx, batch, technique):
await tx.run("""
UNWIND $batch AS row
MERGE (e:Entity {id: row.entity_id})
ON CREATE SET e.created = datetime(),
e.technique = $technique
ON MATCH SET e.updated = datetime(),
e.score = row.structured_score
""", batch=batch, technique=technique)Strategic Implementation Kit
Access production-ready Python pipelines, optimized Cypher queries, and validated Pydantic schemas. Available after a technical discovery session.
- Full Neo4j schema + seed data
- Production Python pipeline
- FastAPI + Redis serve layer
- Docker Compose setup
Stack
Intelligence Engine Sandbox
See the engine in action
Strategic Perspective
Read our analysis of the operational philosophy and strategic metrics behind the Customer Experience Engine framework.
Transform your Retail operations
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