Orchestrate storage, labor, robots, and inventory with autonomous agents
Agents that sense, predict, decide, act, and learn—boosting throughput, accuracy, and service while lowering cost per order.
Executive Summary
Warehousing sits at the intersection of service promise and cost to serve. Legacy WMS plus manual workarounds can’t keep pace with omnichannel demand, labor variability, and SKU proliferation. Our agentic AI augments your WMS/YMS with autonomous, guardrailed agents that sense, predict, decide, act, and explain across slotting, wave/waveless orchestration, tasking, robotics, dock/yard, quality, and maintenance. Result: higher lines per hour, near‑real‑time inventory accuracy, faster dock‑to‑stock, and resilient fulfillment.
What We Offer
Inventory Optimization & Dynamic Slotting
Policy‑aware placement that reduces travel, improves pick density, and adapts to seasonality, promotions, and new SKUs.
Wave → Waveless Orchestration
Agents continuously balance waves, hot orders, and cut‑off times to minimize lateness and congestion.
Labor & Task Orchestration
Real‑time task assignment for people and robots based on priority, proximity, skills, and safety constraints.
Robotics Co‑Pilot
Coordinate AMRs, goods‑to‑person systems, and automated storage alongside human pick/pack.
Receiving & Dock‑to‑Stock
ASN validation, automated discrepancy flags, and putaway guidance to shrink dwell and accelerate availability.
Quality & Safety (Vision AI)
Automated checks for label accuracy, damages, and compliance; safety zone monitoring and incident prevention.
Predictive Maintenance
Sensor‑driven models for MHE/conveyance to prevent breakdowns and keep OEE high.
Cross‑Dock & Flow‑Through
Decisioning to bypass storage when demand and arrivals align, cutting handling and cycle time.
Yard & Dock Scheduling
Appointment negotiation, door assignment, and yard moves that reduce congestion and detention.
Control‑Tower Visibility
Real‑time KPIs: lines/hour, dock‑to‑stock, order cycle time, IRA, utilization, exceptions, and SLA risk.
The Warehouse Lifecycle — Reimagined with Agentic AI
- Inbound Planning — ASNs, trailer ETAs, and labor plans aligned to capacity.
- Receiving & QC — Vision checks, exception triage, and directed putaway.
- Slotting & Replenishment — Dynamic ABC/XYZ logic and forward‑pick fill.
- Wave/Waveless Orchestration — Cut‑offs, hot orders, carrier windows.
- Picking & Movement — Path‑aware multi‑order picks (people + robots).
- Packing & VAS — Cartonization, inserts, labeling, and audit.
- Dispatch & Yard — Appointment adherence, door assignment, staging.
- Returns & Reverse Logistics — Intelligent triage for resale, repair, recycle.
- Maintenance & Safety — Predictive work orders; incident prevention.
- Analytics & Continuous Improvement — Bottleneck hotspots and playbooks that learn.
Pain Points → Agentic AI Solutions
Excess travel & congestion → Dynamic Slotting
Path‑aware picks reduce steps and balance zones; replenish proactively.
Late orders & cut‑off misses → Waveless Orchestration
Continuously reprioritizes work to protect promise dates.
Labor variability & idle time → Task Orchestrator
Assigns the next best task by skills, proximity, and priority.
Inventory record inaccuracy → Vision/RFID Fusion
Reconciles locations and counts; anomaly detection catches shrink.
QC escapes & rework → Vision QA
Flags label/pack/damage issues inline with captured evidence.
Unplanned downtime → Predictive Maintenance
Prevents failures on conveyors and MHE; higher OEE.
Yard & dock congestion → Appointment & Door Agent
Smooths inbound waves and lowers detention.
High handling on flow‑through SKUs → Cross‑Dock Decisioning
Bypasses storage when demand matches arrivals.
Outcomes & KPIs We Target
- ↑ Lines per labor hour / picks per hour
- ↓ Order cycle time & dock‑to‑stock time
- ↑ Inventory Record Accuracy (IRA) / Location accuracy
- ↓ Travel distance per pick / zone congestion
- ↑ First‑pass quality / fewer QC defects
- ↓ Unplanned downtime / higher OEE
- ↓ Cost per order / per line
- ↑ On‑time ship rate & SLA adherence
Accelerators & Product Roadmap
Available today as services, evolving into modular products.
Slotting Optimizer
Dynamic, policy‑aware placement with seasonality & promo signals.
Waveless Orchestrator
Real‑time reprioritization for hot orders, cut‑offs, and congestion.
Robotics Co‑Pilot
Coordinate AMRs, G2P, and automated storage with human work.
Vision QC
Label accuracy, damage detection, and compliance checks.
Dock/Yard Scheduler
Appointment negotiation and door assignment.
Predictive Maintenance
Failure prediction for MHE and conveyance to lift OEE.
Cross‑Dock Engine
Flow‑through decisioning to cut handling and cycle time.
Control Tower & KPIs
Lines/hour, dock‑to‑stock, cycle time, IRA, utilization, SLA risk.
Integration Library
WMS/YMS/ERP connectors, EDI, telematics/IoT, APIs & webhooks.
Implementation Approach
🔍 Assess → Align
Map inbound/outbound flows, slotting logic, IRA baseline, labor profile; pick quick‑wins.
🛡️ Design → Guardrail
Target architecture, integration to WMS/YMS, and policy guardrails with HITL controls.
✅ Pilot → Prove
8–12 weeks in a selected zone/shift with success gates (lines/hr, dock‑to‑stock, IRA, OEE).
8–12 weeks🚀 Scale → Operate
Roll out to additional zones/sites, enable dashboards & training, hand over playbooks.
FAQs
Do you replace our WMS/YMS?
No—we augment the systems you run with agentic capabilities and control‑tower visibility.
What data is needed to start?
Master data plus 6–12 months of key transactions; optional telemetry/vision feeds.
How do you measure ROI?
Baseline KPIs, pilot deltas, and scale‑out scorecards across throughput, accuracy, and cost.
How do you manage risk?
Sandbox pilots, synthetic testing, policy guardrails, and human‑in‑the‑loop controls.
Let’s modernize your warehouse
We’ll review your landscape, quantify value, and design a pragmatic pilot.