Platform / AI Control Layer
AI recommends. Humans approve. Systems execute.
At every fulfillment decision, AI offers a recommendation. Your team keeps full control.
How it works
The AI Control Layer runs on a simple loop: sense the event, decide on a recommendation, execute through the network, and learn from the result.
AI does not act alone. For every recommendation, your team can approve, adjust, or reject. Every decision is logged.
The system improves over time because results — what worked, what did not — feed back into the next recommendation.
Where AI recommends
Warehouse selection
Which warehouse should this order ship from, given inventory, SLA, and cost.
Route optimization
Air, ocean, ground, or combined — recommended with delivery date, cost, and carrier mix.
Replenishment planning
Which SKU should be replenished to which destination warehouse, and when.
Exception attribution
When an order is delayed or damaged, AI attributes the cause to the responsible node.
When it helps
- 1
You want to manage existing providers — not replace them
Plug your existing warehouses, forwarders, carriers, and returns providers into GlobalSync. AI tracks SLA, identifies who owns an exception, compares cost and performance, and recommends an alternative when needed.
- 2
A big promotion is coming, and you need a split-warehouse plan
Give the AI your SKUs and the promotion calendar. It returns a recommended split across warehouses with the trade-offs spelled out.
- 3
An order goes wrong — and you want the recovery plan, not just the alert
When something breaks, AI does not just notify — it returns a ranked list of recovery actions for your team to approve.
AI proposes the next step. You decide.
Bring your real fulfillment context. We walk through a recommendation in 30 minutes.