An at-risk order is a support wave waiting to happen.
When an order is about to slip, the customer is about to ask where it is. Order intelligence is the commerce signal Radar watches, so it ties the order to the conversation it will cause and reaches out before the customer ever writes in.
One of the signals Radar watches. See the whole picture.
Carrier tracking tells you an order is late after the customer already knows.
The where-is-my-order ticket is the most common support contact in commerce, and almost all of it is avoidable. Radar reads the order while it is still saveable, sees the wave of questions it is about to create, and gets in front of it with one message instead of fielding fifty.
An order problem does not stay an order problem.
Left alone, one slipping order turns into a support contact, then a reply thread, then a refund argument. Radar reads the order at stage one and breaks the chain before it reaches your queue.
Radar can sit at stage one because you own this data and the carriers do not. Order state, stock, and fulfillment status live in your commerce and ERP systems, and your conversation history lives in BearScope. Radar reads both, so it knows an order is in trouble while a single proactive message still fixes it.
One number per order. One named cause. One likely conversation.
Radar folds every signal into a single 0 to 1 risk score and writes the primary_cause alongside it, so the flag is never a vague "delayed." It is the specific thing to fix, and the specific question the customer is about to ask.
Each row is not a report. It is the conversation you can get ahead of.
Radar ranks the orders about to become tickets and, for each one, drafts the proactive outreach. A person confirms, the AI agent sends it, and you get a receipt you can audit. The same loop the rest of BearScope runs on.
Reach out before Cara has to ask.
Send a delay heads-up to Cara Whitfield with the new Thu → Fri date and a $10 credit. This is the message that turns a where-is-my-order ticket into a moment of good service she never had to start.
It runs on the systems you already operate.
No new system of record, no double entry. Radar reads order and fulfillment state from your existing stack, joins it to your conversation history in BearScope, and scores it on a schedule.
Orders & fulfillment
Order state, promised dates, and fulfillment events pulled live through a safe connector. Swap one commerce platform for another and the signal does not change, only the connector.
Conversation history
Past contacts, sentiment, and who has chased a delay before. The same safe conversation data the rest of BearScope is scored on decides which orders are likeliest to become tickets.
The Radar signal worker
A deterministic worker scores every open order, writes one risk number and a named primary_cause per row, and refreshes on a schedule. Explainable by design, never a black box.
A signal you can trust and a message you can audit.
Because order intelligence is a Radar signal and Radar runs on Fibric, the prediction and the outreach that follows it are kept safe the same way every BearScope action is.
/Real data only
The signal is built from safe order and conversation data, or it is not shown. A fallback is tagged, never passed off as a real risk number.
/Explainable
One named cause per flag, with the signals that drove it and the conversation it predicts. A deterministic worker scores it, not a guess you cannot question.
/Every action checked
Fail-closed. A person confirms before any proactive message leaves the building, and one owner per conversation means a double click never double-sends.
/Full receipts
Every outreach on an at-risk order is logged with who, what, when and the receipt number, walled off to your tenant.
Bring your open orders. We will show you the tickets they are about to become.
A 30-minute walkthrough on your real worklist. Radar scores this week's open orders, names the conversation each one will cause, and drafts the message that gets ahead of it. Safe from the first query.
Order intelligence is one signal Radar watches. See the whole picture.