ONE
OMNIS Neural Engine · 15 engines · self-learning

The first platform
that thinks.

Other systems record what happened. ONE predicts what’s about to happen, decides what to do about it, and gets smarter every shift. No configuration. No consultants. It just learns.

0 signals processed · learning in real time
See ONE in actionHow it works ↓
15
AI Engines
19
Signal Sources
8+
Factors per Decision
120min
Prediction Horizon
80%
Auto-Executed
0
Config Required
The problem

Your warehouse software stopped
learning on day one.

Legacy systems are configuration platforms. You buy them, spend months setting up rules, and pray they work. They don’t learn from outcomes. They don’t adapt. The system you have in year three is the same system you had on day one.

📋
Static rules
If-then-else logic configured once by a consultant. When your carriers change, volume shifts, or dock layout evolves — the rules don’t.
$75K+
Average annual consulting fees
🔌
Disconnected modules
Dock management can’t see inventory. Inventory can’t see carrier scores. Voice doesn’t exist. Every insight requires a human to connect the dots.
15+
Separate modules, zero shared context
⏳
Months to go live
6–18 months implementation. $100K+ before a single trailer is processed. Then locked in by switching costs.
12 mo
Average implementation timeline
How ONE works

Signal. Learn. Predict. Act.

Every event becomes a signal. ONE learns your patterns, predicts what’s coming, and acts. The more you operate, the smarter it gets.

Step 01
01
Signal
Every trailer arrival, dock assignment, pick, scan, voice call, and camera detection flows into ONE. 19 signal sources. Unified stream.
→
Step 02
02
Learn
ONE builds optimization weights per-facility using outcome correlation. Not configured by humans — tuned automatically by measuring what actually works.
→
Step 03
03
Predict
30–120 minute forecasts: congestion, detention risk, carrier no-shows, stockouts, demand shifts, equipment degradation. Before they happen.
→
Step 04
04
Act
Above 80% confidence: ONE acts automatically. Below: it suggests. Every outcome feeds back into learning. The loop never stops.
The intelligence curve

Watch your warehouse wake up.

Other platforms are the same on day 1,000 as day 1. ONE compounds intelligence over time.

Day 1
ONE starts listening
Signals flow in immediately. Dock assignments, trailer arrivals, carrier check-ins. ONE builds its baseline. Zero configuration.
Week 1
Patterns emerge
Day-of-week demand curves. Carrier reliability. Zone heat. ONE starts suggesting dock assignments. You approve or override — it learns from both.
Week 2
Predictions go live
Congestion forecasts. Detention risk alerts. Stockout warnings from dock signals. Your team starts trusting the predictions.
Month 1
Auto-execution begins
High-confidence decisions execute automatically. Dock assignments, replenishment, priority escalations. Supervisor handles exceptions. ONE handles the 80%.
Month 3
ONE knows your warehouse
Better than your best supervisor. It remembers every trailer. Every carrier pattern. Every seasonal shift. Optimized from 50,000 signals no human tracked.
Month 6+
Compounding intelligence
Self-organizing inventory. Zero-count cycles. Autonomous work orchestration. The warehouse runs itself. The gap widens every single day.
15 Optimization Engines

One brain. Every operation.

Each engine optimizes a specific domain through the same multi-variable scoring core. Warehouse and ecommerce. Dock and inventory. Voice and vision. All connected through ONE.

🚪
Dock Assignment
Core
8-variable weighted scoring. Zone proximity, carrier history, detention risk, queue depth. Auto-assigns at 80%+ confidence.
🔄
Self-Organizing Warehouse
Pro
Continuous AI re-slotting from live pick patterns. Detects velocity shifts in 14 days. Generates move tasks automatically.
📡
Dock-Side Demand Sensing
Pro
Predicts stockouts from dock signals + outbound velocity. Sees inbound before inventory knows.
🎯
Zero-Count Inventory
Pro
Probabilistic confidence per SKU per bin. Only count what’s uncertain. Eliminates 80% of cycle count labor.
🤖
Autonomous Orchestration
Enterprise
The warehouse runs itself. Putaway, replenishment, picks, re-slotting — generated and assigned by priority.
⏰
Detention Avoidance
Pro
Predicts risk per trailer, auto-escalates before free time expires. Saves $50–$150/hour per trailer.
🎲
RL Dock Scheduling
Enterprise
Reinforcement learning. Q-learning agent that gets better with every trailer processed.
📷
Vision Monitoring
Enterprise
Camera-based dock state detection. 7 states. Auto-updates at 85%+ confidence. Safety alerts.
💬
NL → SQL
Pro
Ask in English, get data back. Triple safety layer. Fully tenant isolated.
🔎
Anomaly Detection
Pro
Statistical baselines with z-score alerts. Detects deviations before your team notices.
📈
Carrier Scoring
Pro
6-factor intelligence: on-time rate, dwell, no-shows, compliance, volume, trend direction.
🔧
Predictive Maintenance
Pro
Equipment degradation from operational tempo. No sensors. 7d vs 60d baseline drift.
🏳
Federated Learning
Enterprise
Cross-network weight sharing with differential privacy. Data stays private. Intelligence is shared.
🏭
Digital Twin
Enterprise
What-if simulation. Add doors, change volume, shift schedules. Uses your real data as baseline.
📅
Appointment Optimization
Core
Dynamic capacity based on day patterns, stagger balance, and carrier no-show rates.
The difference

Configuration vs. Intelligence

Legacy platforms make you adapt to their software. OMNIS adapts to your warehouse.

Legacy WMS

Configuration platform
×Static rules configured once by consultants
×Modules don’t share data or context
×Same system on day 1,000 as day 1
×Manual dock assignments, manual slotting
×Fixed cycle count schedules every week
×No voice integration of any kind
×$100K+ to implement, 6–18 months
×Pay consultants annually to re-optimize

OMNIS + ONE

Intelligence platform
✓Self-learning weights tuned by every outcome
✓19 sources flow through one unified brain
✓Smarter every shift — compounding intelligence
✓Auto-assigned at 80%+ confidence, learns from overrides
✓Count only uncertain positions — 80% fewer counts
✓Voice agents that know your carriers mid-call
✓Live in a week. Learning in two.
✓Zero consultants. ONE optimizes itself.
🧠
Agent 33 — The engine that speaks

Your optimization engine
talks back.

Carriers call and speak to an AI that already knows their score, their typical dwell, and which dock works best. Supervisors query ONE over push-to-talk. “How’s congestion?” gets a real answer.

Carrier voice calls Push-to-talk radio Daily standup briefings Auto detention alerts Sentiment → priority escalation

Ready for a warehouse
that thinks?

Live in a week. Learning in two. By month three, ONE knows your operation better than any consultant ever could.

Book a demoSee pricing

ONE — 15 engines. Zero configuration. The warehouse that thinks.

See it live →