Your systems detect.
Ward decides, executes, and proves it worked.
Six stages. One unbroken chain. The loop is the product. Below is one full cycle, stage by stage. A real one fires every few seconds in production right now.
Detect
Ward watches every store, every KPI, every system of record. Anomalies surface against per-store baselines, not aggregate ones.
POS, inventory, labor, finance, weather, events, and supplier feeds read into Ward continuously. Forecasts run on the same models your planners trust. The deviation hits the page the moment it crosses threshold, not the weekly report.
Attribute
Every signal is traced to a cause: vendor short-ship, promo conflict, planogram drift, schedule miss, dock anomaly. The cause isn't a guess. It's an attribution chain you can audit.
Ward assembles a reasoning graph: which sources it touched, which SQL it ran, which model fit, which causes it ruled out. The graph travels with the case. Compliance re-derives the conclusion in one click.
Recommend
A case opens with the right play already attached. Owner, deadline, target KPI, and success metric set on day one. No triage meeting.
Plays are the retail moves every operator should be running: stockout escalation, vendor invoice dispute, promo conflict cancellation, planogram correction, markdown cadence reset. Each one knows its trigger, its procedure, its write-back, and the metric it has to move to close.
Execute
The play runs against the system of record: Manhattan, Blue Yonder, SAP, Oracle Retail, Relex, the pricing and promo engines. Read-only by default. Any write-back gates on a named human.
Federated queries for reads. Approval-gated writes for changes. Cedar policy enforces who can do what against which source. The loop never changes state without a named approver in the audit log.
Audit
Every step on the case is signed: detection, attribution, play match, write-back, approver. Streamed to your SIEM the moment it lands.
Audit-ready by construction. Every number is one click from the SQL, the source tables, the model, and the parameters. Charters and policies live in your repo, versioned and signed. Roll back or diff any change in one click.
Measure
The case closes only when the KPI moves. Fill rate up, shrinkage down, net promo lift positive. The outcome attaches to the play that fired it, and the play's win rate updates.
A closed Ward case is a measured delta against a pre-agreed metric, not a checked box. Every cycle feeds the system: which plays close cleanly, which need recalibration, which misclassify the cause. The next signal arrives smarter than the last.
This loop runs 24/7
across every store.
Every cycle is sharper than the last. Plays that close build their win rate. Misclassified causes surface and get corrected. The loop learns.
Walk a real case end to end.
See the loop fire on your data. 90-day pilot. Pre-agreed metrics.
Find out what your data has been hiding.
Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.