Fragmented logs
Support and ops bounce between transport logs, ERP rows and webhook payloads that never read like one case.
EntityFlow reconstructs the history of any identifiable entity from ERP messages, scans, APIs, CDC and webhooks, then renders it as a timeline teams can actually use, whether the subject is a parcel, a batch, a device or a tagged product.
across ERP, scans, APIs and CDC
ready for ops, support and investigations
Orders, parcels, batches and devices already emit events. What teams still lack is one readable history when operations, support or quality need answers quickly.
The product attaches scattered events to one business identifier, orders them into a timeline and exposes a case-ready surface teams can trust.
A credible rollout starts with one painful narrative, one production scope and one buyer story tied to faster investigations and better answers.
This is the break in rhythm on purpose: the promise stops being conceptual and starts looking like something an ops team could open during a real escalation.
The commercial promise is simple: less time reconstructing what happened, more time deciding what to do next.
Support and ops bounce between transport logs, ERP rows and webhook payloads that never read like one case.
The same signals become one entity timeline with state, ordering and business context already aligned.
Buyers do not need every domain on day one. They need one painful narrative that now reads clearly enough to justify rollout.
Pick one identifier and one investigation workflow where teams already lose time reconstructing history by hand.
Bring in the events you already emit, define the key, and map only the attributes operations actually need to see.
Expose one operational surface that support, ops or quality teams can use immediately in a real investigation.
We stopped debating which system was right. The timeline made the incident readable fast enough for ops and support to act together.