A day with ARIA Warehouse.

Concrete scenarios with real personas. No generic storytelling — these are the steps you see on the line when ARIA Warehouse is in production.

Scenarios2 scenarios

Persona

Giulia

Warehouse operator · logistics shift lead

Giulia runs the centralized warehouse of an automotive site. The line consumes components; the warehouse replenishes them via AMR. ARIA Warehouse is her cockpit: orders, locations, AMR missions.

07:00
Opens the real-time movements table
→ She sees the latest order coming from the line, with the row highlighted. No refresh needed — it's already there.
07:15
Creates a replenishment order for station 4
→ The form guides the entry. She picks the item, quantity, target AMR. Server-side validation.
07:18
The AMR departs from the warehouse toward the station
→ The fleet manager dispatches. Giulia watches the mission progress on the multi-warehouse map.
08:30
Switches warehouse for the next shift
→ The site has two warehouses. Context change, sidebar and tables refocus on the new warehouse's data.

Persona

Sara

Logistics manager · manufacturing plant

A typical scenario in a plant where the warehouse and the line hold two different truths: the ERP says the material is there, the line stops because it never reached the machine. ARIA Warehouse shares master data with production, so stock updates from the physical movement rather than from a record entered afterwards.

Declared typical scenario: it describes how the module is used, not a project already delivered.

06:30
Opens the shift's missions
→ She sees what the lines need over the next few hours, not only what's in stock. Demand comes from production, not from a separately maintained list.
08:15
A pick doesn't find the material at its location
→ The gap between book stock and physical stock surfaces when it matters. She records the discrepancy against the location, not on a sheet at end of day.
11:00
Dispatches replenishment missions to the line
→ Missions can go to an operator or to an AMR fleet: to the system it's the same dispatch, only the executor changes.
15:30
Reviews the shift's movements before closing
→ Material traceability closes here: what came in, what went out, against which production order. That data feeds upstream into finished-lot traceability.