Supply chain automation that sees the stockout coming, not the one that already happened
Aria is AI for supply chain and inventory that projects days of cover for every SKU from on-hand, in-transit, and sales velocity, flags the items whose stockout date beats supplier lead time, and escalates them to your planners. People approve the reorders; Aria does the watching, the math, and the early warning — across every SKU, 24/7.
Runs inside SAP S/4HANA, Oracle NetSuite, Power BI, and Coupa.
days of cover projected, not just the ones a planner can reach
coverage reflects open POs and shipments in flight
stockout risk watched continuously, not on a weekly cadence
every reorder and escalation is decided by a person
Built for VPs of supply chain, demand planning, and operations leaders
- VPs of supply chain trying to hold service levels without ballooning safety stock
- Demand planners drowning in spreadsheets, reorder math, and supplier follow-up
- Operations leaders scaling SKU counts faster than they can hire planners
- Inventory and replenishment teams standardizing coverage policy across sites and ERPs
Coverage risk hides between the systems no one watches in real time
The signal that prevents a stockout is never in one place. On-hand sits in the ERP, in-transit lives with the freight forwarder, and sales velocity is buried in a BI dashboard. To know a SKU is in trouble, someone has to pull all three, project days of cover, compare it against supplier lead time, and do it again next week — for thousands of SKUs. So planners sample the riskiest items, trust gut on the rest, and find out about the misses from a backorder report.
Static reorder points and min/max rules were supposed to fix this, but they go stale the moment demand shifts or a shipment slips. They cannot tell you that a container is two weeks late, that velocity just doubled, or that this specific SKU will run dry before the replenishment lands. The result is the worst of both worlds: cash tied up in overstock on slow movers, and stockouts on the items that actually sell.
On-hand, in-transit, and velocity never reconciled in real time
Coverage projected for only the SKUs a planner can reach
Most stockouts surface from a backorder report, not before
What Aria automates in supply chain
Days-of-cover projection per SKU
Aria continuously projects days of cover for every SKU from on-hand quantity, in-transit and open POs, and recent sales velocity — so coverage is a live number, not a quarterly spreadsheet exercise.
Stockout prediction against lead time
For each SKU, Aria compares the projected stockout date to the supplier's lead time and flags every item that will run dry before a reorder can land — the ones that need action now, not next cycle.
Demand planning automation
Aria builds weekly demand and coverage forecasts from your Power BI metrics and ERP history, surfacing velocity shifts and seasonality so planners review the changes, not the raw data.
Shipment and ETA delay monitoring
Aria watches inbound ETAs and open POs, recalculates coverage when a shipment slips, and escalates the SKUs that a delay just pushed into stockout risk — before the shelf goes empty.
From repeated work to a reusable execution pattern
- 01
Observe how your planners manage coverage
Aria captures how your team actually plans today — the days-of-cover targets you hold, the lead times you trust, which systems you reconcile, and when you decide a SKU is at risk — instead of a generic min/max template.
- 02
Draft a reusable execution pattern
That planning logic becomes a structured execution pattern: the coverage math, the lead-time comparison, the velocity inputs, and the escalation path your demand planners already use across SKUs and sites.
- 03
Project, flag, and escalate
On every SKU, the pattern projects days of cover, flags the items whose stockout date beats lead time, and escalates them to a planner with on-hand, in-transit, velocity, and the recommended reorder attached. It never places a PO on its own.
- 04
Improve with every cycle
Each call a planner makes — adjusting a lead time, overriding a forecast, deferring a reorder — feeds back into the pattern, so coverage projections and stockout flags get sharper and fewer false alarms reach a human over time.
Supply Chain workflows teams ship first
- Days-of-cover projection per SKU from on-hand, in-transit, and sales velocity
- Stockout prediction flagging SKUs whose projected run-out beats supplier lead time
- At-risk SKU escalation to demand planning with reorder recommendations
- Weekly demand and coverage forecasting from Power BI metrics and ERP history
- Shipment and ETA delay monitoring with coverage recalculation and escalation
- Returns disposition routing — restock, liquidate, or dispose — by policy
No rip-and-replace — Aria runs where the work already happens
Tenant-isolated and permission-aware: Aria only acts within the access you grant, and every run is human-reviewable.
Operational intelligence, not another point tool
It reconciles the systems planners can't watch at once
A dashboard shows you one view; Aria stitches on-hand, in-transit, and velocity into a live coverage number for every SKU and tells you which ones need action — the work that actually fills a planner's week.
It compounds instead of going stale
Static reorder points decay the moment demand shifts. An execution pattern absorbs every planner correction and shipment slip, so stockout prediction gets more accurate the longer it runs.
Humans stay in control
Aria projects, flags, and recommends; people approve every reorder. Each run produces an auditable, human-reviewable summary of why a SKU was escalated — built for planning rigor, not around it.
It fits your stack
No rip-and-replace. Aria runs inside your ERP, BI, and spend tools — SAP S/4HANA, NetSuite, Power BI, Coupa — reading inventory and demand where they already live and escalating through Teams and email.
See it on your own supply chain
Book a 30-minute demo and we'll capture one of your real workflows live — you keep the execution pattern.
Frequently asked questions
Can AI manage supply chain and inventory?
Yes. AI for supply chain and inventory like Aria continuously projects days of cover per SKU from on-hand, in-transit, and sales velocity, predicts stockouts before supplier lead time runs out, and escalates at-risk items to your planners. The best AI for inventory management does the monitoring and the math 24/7 while people approve every reorder.
What is supply chain automation?
Supply chain automation uses software to run the repetitive supply chain loop — projecting inventory coverage, predicting stockouts, monitoring shipments, and triggering replenishment — instead of doing it by hand. Aria goes beyond static reorder points by projecting days of cover per SKU from on-hand, in-transit, and sales velocity, flagging at-risk items, and escalating them, while your planners approve every reorder.
Does Aria replace our demand planners?
No. Aria removes the manual first pass — pulling on-hand, in-transit, and velocity together, projecting coverage, and watching thousands of SKUs for stockout risk — and escalates the items that need attention with full context and a recommended reorder. Your planners still make the calls and approve every PO. The goal is to let a smaller team cover far more SKUs, not to take humans out of planning decisions.
How is this different from the reorder points in our ERP?
Static reorder points and min/max rules go stale the moment demand shifts or a shipment slips, and they can't tell you that this specific SKU will run dry before the replenishment lands. Aria captures your planning judgment as a reusable execution pattern that projects live days of cover, compares it to supplier lead time, accounts for in-transit inventory, and escalates real risk — and it improves with every cycle.
Does it work with our ERP and Power BI?
Yes. Aria runs inside the systems you already use — SAP S/4HANA, Oracle NetSuite, Power BI, Coupa, and ServiceNow — rather than requiring a rip-and-replace. It reads on-hand and open POs from your ERP, demand and velocity from Power BI, and escalates at-risk SKUs through Microsoft Teams and Outlook so planners act where they already work.
How does AI inventory management prevent stockouts?
Aria's stockout prevention works by projecting a stockout date for each SKU from current coverage and sales velocity, then comparing it to the supplier's lead time. Any SKU that will run out before a reorder can arrive is flagged and escalated to a planner with on-hand, in-transit, and a recommended order quantity attached — so the warning comes early enough to act, not after the backorder.
Can it handle shipment delays and returns?
Yes. Aria monitors inbound ETAs and open POs and recalculates coverage when a shipment slips, escalating the SKUs a delay just pushed into stockout risk. It also routes returns disposition — restock, liquidate, or dispose — according to your policy, so reverse logistics doesn't fall through the cracks.
Is it safe and auditable for planning decisions?
Aria is built to keep humans in control, which is the foundation of safe supply chain automation. Every projection and escalation produces a structured, human-reviewable summary showing the SKU, its coverage inputs, why it was flagged, and the recommended action — and every reorder is human-approved, so your planning controls stay intact.
How fast can we see it on our own inventory, and what does it cost?
Book a demo and we'll capture one of your real workflows live — typically days-of-cover projection and stockout flagging — so you can see the execution pattern run against your own SKUs in the first session. Pricing is tailored to your SKU count, sites, and the workflows you automate, scoped with you starting from the coverage work where automation pays back fastest.
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