Outbound managers log exceptions during peak. Countdown view ranks shipments at risk — CSV and manual ingest today, WMS integration on the pilot roadmap. Built for the last five minutes of shift.
- Cut-off countdown
- Exception queue
- 30-day pilot
FlowAI
Exception queue for hybrid human and AMR floors
FlowAI starts at 21:55 — lane down, AMR offline, labor gap, cut-off in five minutes. One queue ingests lane status and fleet CSVs, shows what is at risk, and encodes the cut-off rules operators already know. Prove savings at one site, then expand to the full command center and Aria.
Enterprise
Site managers feel cut-off risk at 21:55 — not in tomorrow's BI report. FlowAI starts with one exception queue for lane, labor, and AMR state, built by an operator who ran 3,000-person Amazon floors. Prove ROI at one site; then expand to Aria and the full command center.
Operator-encoded cut-off logic · 30-day one-site pilot · hybrid human+AMR graph · not a WMS rip-and-replace pitch.
Outbound managers log exceptions during peak. Countdown view ranks shipments at risk — CSV and manual ingest today, WMS integration on the pilot roadmap. Built for the last five minutes of shift.
Why we build
Shipping problems should surface before the dock closes — not in tomorrow's report. FlowAI puts lane, labor, and robot exceptions in one queue managers can act on.
ForWarehouse and fulfillment managers
U.S. and Canadian warehouses run short on people while e-commerce peaks get sharper. FlowAI helps floor managers see what will miss cut-off while they can still fix it.
| # | Who we serve | What's broken | By the numbers | What we build |
|---|---|---|---|---|
| 1 | Outbound managers | Staffing gaps mean fewer people to catch problems before trucks leave. | 76% of logistics ops report notable workforce shortages | A ranked exception queue shows the highest-risk lanes first — so a thin team focuses on what matters. |
| 2 | Sites adding robots and AMRs | More automation means more screens — but cut-off decisions still live in people's heads. | Logistics plans >⅓ of capex on automation · many projects underutilized | FlowAI combines human picker status and robot fleet state in one view before dock close. |
| 3 | Floor leads during peak | Even with a WMS, managers export spreadsheets when cut-off is five minutes away. | 51% of warehouses use manual data collection · 87% run a WMS | Real-time exception logic on top of your WMS — no CSV scramble at 9:55 PM. |
| 4 | Managers running temp labor | Half of warehouses rely on temp staff — hard to train fast enough for peak. | ~50% of warehouses regularly use temp/flexible labor | Shift-aware dashboards and clear next actions help new pickers contribute on day one. |
Outbound managers
76% of logistics ops report notable workforce shortages
What we buildA ranked exception queue shows the highest-risk lanes first — so a thin team focuses on what matters.
Descartes · supply chain leader survey · 2024
Sites adding robots and AMRs
Logistics plans >⅓ of capex on automation · many projects underutilized
What we buildFlowAI combines human picker status and robot fleet state in one view before dock close.
McKinsey · Getting warehouse automation right
Floor leads during peak
51% of warehouses use manual data collection · 87% run a WMS
What we buildReal-time exception logic on top of your WMS — no CSV scramble at 9:55 PM.
Peerless Research · Warehouse/DC Operations Survey · 2025
Managers running temp labor
~50% of warehouses regularly use temp/flexible labor
What we buildShift-aware dashboards and clear next actions help new pickers contribute on day one.
Instawork · State of Warehouse Labor · 2025
Overview
FlowAI is built by an operator who ran 3,000-person Amazon fulfillment floors. We start with the 21:55 problem — cut-off exceptions when lanes, labor, and AMR state live on different screens — then expand to the full command center with Aria once one site proves savings.
How it works
Outbound managers record lane, labor, and AMR issues in one queue during peak.
Countdown view ranks shipments at risk before dock close — not tomorrow’s report.
Recommended next moves with human approval — no autonomous ops decisions.
Add Command Center modules and Aria after 30-day pilot shows measurable savings.
Infrastructure
Exception queue + cut-off dashboard — live in demo, deployable at one site in weeks.
Cut-off and dock-to-ship rules from lived floor experience, not consultant playbooks.
Start with CSV and manual status; connect WMS APIs as pilots expand.
Full eight-module command center and Aria at flowai-blond.vercel.app — roadmap after wedge ROI.
Platform
Figures marked Demo are from the live evaluation environment — capability examples, not a customer deployment.

Overview
Site health in one view — UPH, throughput, on-time delivery, fill rate, and labor utilization.
85% utilization · 72K / 85K units · 8 KPI tiles
Actions and savings in dollars — workforce, safety, route efficiency, and catalog accuracy.
$137K+ / cycle · Quality & safety ROI · Logistics savings
Dock scheduling through put-away with ASN compliance and shipment lifecycle tracking.
87.5% on-time · 3.2h dock-to-stock · 45K+ units/day
SKU-level stock, cycle counts, and days-of-supply with reorder alerts across FCs.
14K+ units · SKU-level DoS · Multi-FC visibility
Pick, pack, and ship with order steppers, carrier tracking, and missed-shipment alerts.
96.5% on-time ship · 342 UPH · $1.24 CPU
Inspections and Six Sigma metrics — DPMO by process path from receive through multi-item pick.
4.20 sigma · 97.2% FPY · 0.30% escape
ASIN, SKU, and taxonomy management across departments in one catalog surface.
17 departments · 236 product types · Tag-based taxonomy
GM, ops manager, area manager, associate, and admin views — each with the modules that role needs.
8 personas · 6–21 modules each · Guest explorer mode
Verticals
Operating modes reshape modules, KPIs, and workflows for your logistics model.
ConsultCraft
Launch the full demo or contact our team about one-site pilots and integration.