Omnichannel Routing - Unexpected Behavior with Journey Orchestration & Predictive Routing API

Hey everyone,

Running into something odd with what we’re trying to do with unified omnichannel routing. We’ve got a flow that’s supposed to dynamically adjust the predictive routing score based on web events - basically, if a user browses product X, bump up their priority for agents skilled in product X. It’s acting… flaky. Sometimes it works, most times it doesn’t. Feels like a race condition, honestly, like the web event isn’t propagating fast enough to the orchestration engine before the initial routing decision. It’s like building a house of cards on a boat - you’ll get there, eventually, but it’s not pretty.

The flow uses a Data Action to call /api/v2/journey/orchestrations/{orchestrationId}/events to push the web event. We’re using the Python SDK, version 2.1.0. The orchestration itself is pretty simple - a single segment with a predictive route step. The logs show the event eventually shows up in the journey history, but often after the call has already been routed.

Here’s the error we’re seeing intermittently - it doesn’t always show, which is frustrating. It’s usually when there’s a surge in web traffic.

{
 "error": "bad_request",
 "message": "Invalid request payload. Event data is missing or invalid.",
 "code": 40001,
 "details": [
 {
 "field": "event.data",
 "message": "Event data must be a valid JSON object."
 }
 ]
}

We’re encoding the web event payload as a JSON string before sending it. I’ve double checked the encoding and it looks good. My first thought is rate limits on the journey orchestration API - anyone know what those look like? I’m worried about hammering that endpoint and getting throttled, especially given us-east-1’s typical latency. Also, before anyone suggests it, we’re extremely careful about PII in those payloads - it’s all hashed before it hits the API. Still, it’s a concern.

Any thoughts?

At my last shop, we had something very similar - the predictive routing scores weren’t updating consistently, it was a real headache. What we found was the Journey Orchestration events weren’t being processed in the order we expected, and the predictive routing algorithm was using stale data. It’s not a race condition exactly, more like a timing issue with how Journey Orchestration handles the web events - it’s not always immediately available for scoring. The predictive routing API relies on current Journey Orchestration data, so if it’s outdated, you’ll get inconsistent results.

We ended up adding a small delay in the flow - maybe 500 milliseconds - before calling the predictive routing API. It’s not ideal, but it allows the Journey Orchestration events to propagate. Another thing we tried was ensuring the web event data was structured correctly when pushing it to Journey Orchestration. Specifically, the eventType field needs to be exact, case sensitive - it has to match what you have configured in the Journey Orchestration definition.

Also, double check your Predictive Routing Strategy - make sure it’s actually referencing the Journey Orchestration data correctly. Here’s a sample payload for updating the attribute:

{
 "attributeName": "productX_interest",
 "attributeValue": "true",
 "journeyCustomer": {
 "customerId": "unique_customer_id"
 }
}

It’s a little bit of a pain to troubleshoot, honestly. It took a while to realize the Journey Orchestration data wasn’t updating fast enough.