AI Intelligence

AI that empowers, not replaces

Smart recommendations for quality, scheduling, risk, and efficiency, built from decades of operational data. The AI suggests. Your team decides.

2017
AI Since
Thousands
Jobs Learned
Improvement
Continuous
AI Insights
AI Insights
Customer Context
Pacific Foods prefers early AM deliveries
Quality Context
Similar jobs had 3% label rejection rate
Risk Context
Previous job required material reorder

What AI handles

Eight integrated capabilities that make operations smarter every day.

Quality Control Suggestions

Analyzes job type, customer history, and facility experience to recommend appropriate quality checks

Station Optimization

Identifies bottlenecks in assembly lines and suggests reconfiguration for improved flow

Material Readiness

Ensures all required materials are identified and pre-prepared before job starts

Workload Analysis

Reviews customer schedules, facility capacity, and worker availability

Facility Matching

Considers geography, certifications, capabilities, machines, and urgency

Accurate Quoting

Uses all data points to generate precise pricing and turnaround estimates

Risk Prediction

Learns from past jobs to anticipate and prevent potential issues

Knowledge Building

Creates institutional memory around customers, job types, and preferences

Assembly Line Analysis
Assembly Line
All stations active
Receive
2 ops
Sort
3 ops
Assemble
4 ops
QC
2 ops
Bottleneck
Pack
3 ops
Station Optimization

Find and fix bottlenecks before they slow you down

The AI continuously analyzes the rate at which each station completes its process and compares performance across the entire line.

When bottlenecks are detected, it suggests different configurations or operator assignments to improve flow, without disrupting ongoing work.

Example insight:

“Quality Check station is processing at 85/hr while Assembly handles 120/hr. Consider adding one operator to QC. Estimated 15% throughput increase.”

Continuous Learning

Gets smarter with every job

Every completed job feeds back into the system. The AI learns from successes, near-misses, and challenges to improve future recommendations.

It builds a knowledge base around each customer: their preferences, past job requirements, common issues, and what works best for their products.

Remembers customer delivery preferences
Learns from quality issues on similar jobs
Tracks which facilities excel at which job types
Improves turnaround estimates over time
Risk Prevention
Risk Overview
0
High
2
Medium
5
Low
Material delay risk
Holiday impact
Our Approach

AI-assisted, not AI-driven

Recommends
The AI suggests quality checks, schedules, and optimizations
Informs
Provides context from similar jobs and customer history
Empowers
Gives your team the information to make better decisions

We don't believe in black-box automation. The AI is a tool that makes your team more effective. It provides the insights, you make the calls.

See AI in action

Request a demo to see how our AI recommendations work in practice. from quality suggestions to facility matching.