The decision layer that sits above your WMS and OMS — surfacing compound decisions before the shift starts and before the first order routes.
Supply chains are repricing mid-season. Decisions made in January don't survive contact with February reality.
Fill rate holds at 98%. The CFO explains the margin shortfall three months later.
Every shift is now peak. Operational stress that used to arrive once a quarter arrives every Thursday.
The shift from visibility to decisioning. Seeing the problem in real time is not the same as acting on it.
Sits above your WMS — doesn't replace it. No transformation program required to see results.
Nothing connects them. The plan doesn't know the plan just changed.
A decision layer that continuously reads live signals, applies compound logic, and publishes prescriptions to your existing systems — without replacing them.
Each solution targets a distinct failure mode in modern supply chain operations.
"Flash sale at 4:47 PM. Wave already started. WMS executing a stale plan."
Based on pilot data from a $1B+ 3PL client
"Fill rate holds at 98%. CFO explains the margin shortfall three months later."
Based on pilot simulation across 6.29M unit window
"Allocation decisions made at season start don't survive contact with real demand."
The platform reads live operational signals and translates them into specific, actionable prescriptions — published directly to your systems.
Published to your WMS, OMS, and inventory systems automatically — no manual translation required.
Your best shift supervisor makes three calls at 4:30 PM that no one else would have thought to make. When they're not in the building, the shift runs differently.
A brand launches a flash sale at 4:47 PM. The wave already started. Your WMS is executing a plan that was built at 6 AM. No one recalibrates until the SLA window closes.
You route 50,000 orders a day managing to fill rate. Your network cost, delivery speed, and margin per unit are optimized independently — never simultaneously.
No commitment required to see what's possible. Four steps, starting with your actual data.
Shift logs, carrier performance, volume history, labor records, order history, SLA profiles, unit economics.
Framework runs on your data. Exceptions surfaced. Outcomes compared against your actual baseline.
Exceptions surfaced, savings potential quantified, implementation path mapped. You set the priorities.
Critical override rules loaded first. Full prescription delivered as confidence grows.
Same decisions. Regardless of who's in the building. The platform encodes the judgment of your best operators and applies it consistently across every shift — not just when that person happens to be working.
Deep expertise across WMS (Manhattan Associates, Infios), OMS, TMS, robotics, and workforce management. We understand what the systems do — and exactly where their blind spots are.
"As more frequent and complex disruptions continue to test response capacity, organizations are moving toward AI that can sense and act in real time to improve the consistency and speed of decisions."
"Even retailers with mature technology solutions find the translation of planning to execution difficult to achieve. Organizations must treat order orchestration as a continuously optimized capability."
We run the framework against your actual operation — shift logs, carrier performance, volume history. No generic benchmarks. No commitment required. We'll respond within one business day.