Enterprise · Live Demo

FlowAI

Fix cut-off before the shift ends.

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.

30dPilot target
LiveDemo
1 siteFirst proof
OperatorFounded
FlowAI enterprise logistics command center

Enterprise

Cut-off exceptions for hybrid human + robot warehouses

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.

  • Cut-off countdown
  • Exception queue
  • 30-day pilot

Why we build

Why we built FlowAI

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 serveWhat's brokenBy the numbersWhat we build
1Outbound managersStaffing gaps mean fewer people to catch problems before trucks leave.76% of logistics ops report notable workforce shortagesA ranked exception queue shows the highest-risk lanes first — so a thin team focuses on what matters.
2Sites adding robots and AMRsMore automation means more screens — but cut-off decisions still live in people's heads.Logistics plans >⅓ of capex on automation · many projects underutilizedFlowAI combines human picker status and robot fleet state in one view before dock close.
3Floor leads during peakEven with a WMS, managers export spreadsheets when cut-off is five minutes away.51% of warehouses use manual data collection · 87% run a WMSReal-time exception logic on top of your WMS — no CSV scramble at 9:55 PM.
4Managers running temp laborHalf of warehouses rely on temp staff — hard to train fast enough for peak.~50% of warehouses regularly use temp/flexible laborShift-aware dashboards and clear next actions help new pickers contribute on day one.
1

Outbound managers

Staffing gaps mean fewer people to catch problems before trucks leave.

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

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

What we buildFlowAI combines human picker status and robot fleet state in one view before dock close.

McKinsey · Getting warehouse automation right

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

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

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

What we buildShift-aware dashboards and clear next actions help new pickers contribute on day one.

Instawork · State of Warehouse Labor · 2025

Overview

Cut-off wedge · operator-founded

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.

30dPilot target
LiveDemo
1 siteFirst proof
OperatorFounded

How it works

Four steps from connect to ROI

01

Log exceptions

Outbound managers record lane, labor, and AMR issues in one queue during peak.

02

See cut-off risk

Countdown view ranks shipments at risk before dock close — not tomorrow’s report.

03

Act on the floor

Recommended next moves with human approval — no autonomous ops decisions.

04

Expand the graph

Add Command Center modules and Aria after 30-day pilot shows measurable savings.

Infrastructure

Pilot wedge → enterprise command center

Pilot wedge

Exception queue + cut-off dashboard — live in demo, deployable at one site in weeks.

Operator logic

Cut-off and dock-to-ship rules from lived floor experience, not consultant playbooks.

Integration path

Start with CSV and manual status; connect WMS APIs as pilots expand.

Enterprise demo

Full eight-module command center and Aria at flowai-blond.vercel.app — roadmap after wedge ROI.

Node.jsGraphQLGeminiSupabaseGoogle CloudVercel

Platform

Command center after pilot ROI

Figures marked Demo are from the live evaluation environment — capability examples, not a customer deployment.

Overview

Command Center

Site health in one view — UPH, throughput, on-time delivery, fill rate, and labor utilization.

85% utilization · 72K / 85K units · 8 KPI tiles

Overview

  • ROI & Value Tracker

    Actions and savings in dollars — workforce, safety, route efficiency, and catalog accuracy.

    $137K+ / cycle · Quality & safety ROI · Logistics savings

Operations

  • Inbound Operations

    Dock scheduling through put-away with ASN compliance and shipment lifecycle tracking.

    87.5% on-time · 3.2h dock-to-stock · 45K+ units/day

  • Inventory

    SKU-level stock, cycle counts, and days-of-supply with reorder alerts across FCs.

    14K+ units · SKU-level DoS · Multi-FC visibility

  • Outbound Operations

    Pick, pack, and ship with order steppers, carrier tracking, and missed-shipment alerts.

    96.5% on-time ship · 342 UPH · $1.24 CPU

  • Quality Assurance

    Inspections and Six Sigma metrics — DPMO by process path from receive through multi-item pick.

    4.20 sigma · 97.2% FPY · 0.30% escape

  • Product Catalog

    ASIN, SKU, and taxonomy management across departments in one catalog surface.

    17 departments · 236 product types · Tag-based taxonomy

People & Safety

  • Role-based personas

    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

Built for your vertical

Operating modes reshape modules, KPIs, and workflows for your logistics model.

  • E-Commerce / D2C12 modules

    Peak season throughput · D2C fill rate · last-mile SLA

  • Marketplace Platform10 modules

    Multi-seller inventory · catalog accuracy · seller SLA

  • Global Retail / CPG16 modules

    Multi-FC network · inbound ASN · quality at scale

  • Freight Forwarder / 3PL9 modules

    Client visibility · dock scheduling · cross-dock ops

ConsultCraft

Part of a three-product company

  • Cut-off countdown with exception queue — lane, labor, and AMR state in one view
  • Operator-encoded logic from 3,000-person Amazon fulfillment floors
  • CSV + manual ingest today — WMS integration on the pilot roadmap
  • Aria NL queries and full Command Center after first site proves ROI
  • Role-based views from outbound manager to GM — staged rollout
  • GraphQL API for WMS, TMS, and ERP when pilots expand

Start with a 30-day cut-off pilot

Launch the full demo or contact our team about one-site pilots and integration.