10M+ 24,000+ 2.2M The computer networking client, active in 150+ markets, logs clicks, alerts, and pings in clashing formats. The mismatch blocked campaign-to-sale links, stalled support updates, and left churn models outdated. Tens of millions of raw JSON events a day, little structure New releases needed fresh event tags; dev cycles slowed Sparse retention models; no single view across apps, routers, and cloud services Separate pipelines for each project drove compute and license fees up Impact Delivered by sending offers when churn risk spikes and measured campaign success to onboard new event types, from weeks to days through single, shared pipeline instead of bespoke ones Inferenz unified all event data, applied a common rule engine, and delivered real-time predictive insight. assessed current collectors, queues, and defined one schema for campaign, app, device, and support events; enforced with JSON schema and measured campaign success low-code rules let analysts add or gradient-boosted trees flagged churn risk days earlier; scores streamed back to CRM and push-notification systems. Kafka → Snowflake → Tableau gave
registered users worldwide
retail outlets & 19,000
resellers
devices shipped in single
quarter Business Case
Data volume
Speed to market
Customer Insight
Inventory management
25% more
customers renewed80% time reduced
40% lower processing
costs Our Solution
Tool & stack review
stores for scale and cost.
Common Event Framework
Rule Engine
change event logic in hours, not sprints.
Predictive Models
Real-time Dashboards
product, support, and marketing teams
one live view. Tech Stack
Snowflake
Python / PySpark
Databricks
AWS Lambda
Kafka
Apache Nifi
