Event ingestion
Bring in Kafka events, API payloads, CDC streams and the other operational signals that already exist.
Platform
A simple operating model behind the commercial promise.
EntityFlow is easiest to understand when you frame it as four moves: ingest events, extract the key, attach them to one entity timeline, then expose history and state in an operationally useful way. In practice that means lining up concrete moments like parcel ready, shipment created, carrier scan or delivery exception around the same business identifier.
Core formula
events + entity key + mappings = operational timeline
How it looks in product terms
Four product moves, one operational result.
Mini-diagram
parcel readyshipment createdcarrier scandelivery exception
ERP: shipment created01
WMS: parcel ready02
Carrier: hub scan03
Support: delay ticket04
Entity anchor
Parcel PX-2048
Timeline
ready
shipped
scan
issue
Before hover
Four disconnected signals. No usable case yet.
On hover
One reconstructed case file ready for investigation.
01
Ingest
Kafka, API, CDC, webhook
02
Normalize
Entity key, mapped fields
03
Rebuild
Ordered timeline per ID
04
Expose
Search, projections, views
Live
Example output
Entity
Parcel PX-2048
4 sources merged
ready
shipped
scan
issue
Shipment creation, parcel-ready event and carrier scan attached to the same parcel
Delivery exception already aligned with the customer support ticket
One readable parcel history instead of four systems to inspect
Mapping and normalization
Define the entity key, map useful attributes and normalize event structure without forcing upstream rewrites.
Timeline reconstruction
Attach each event to the right identifier and rebuild the timeline in the order operations actually need to inspect.
Operational outputs
Expose history, current state and investigation-ready views for users who need to act, not just analyze later.
Transformation schema
The platform becomes clear when the before and after are visible at a glance.
Current chaos
ERP, WMS, ticketing, scans and device flows all say something true, but none of them tells the full story when a case escalates.
EntityFlow reconstruction
EntityFlow aligns those fragments around one identifier, restores order between events and turns raw telemetry into an operational sequence.
Business proof
The platform becomes commercially credible when one team can investigate faster, answer customers sooner and defend expansion with hard examples.
Before
Signals scattered
ERP event
Carrier scan
QA note
Support update
EntityFlow
One reconstructed case
shared identifier
ordered timeline
mapped fields
usable context
After
Operational proof
faster investigations
clearer escalations
support-ready answers
repeatable rollout
What users get
Three surfaces. Enough to prove value without drowning the page in explanation.
Output
Entity timeline for support and ops
Output
Searchable history across identifiers
Output
Current-state projections for day-to-day monitoring
Commercial CTA
Show one identifier. Reconstruct its full history. Make the value obvious in minutes.
Setup in 5 minutes for the first walkthrough. No credit card required.
OP
Design partner note
Operations lead
We stopped debating which system was right. The timeline made the incident readable fast enough for ops and support to act together.