Qavis builds AI + quantum-hybrid optimization for operations too complex for off-the-shelf tools. Solutions Overview

Five kinds of intelligence.
One optimization core.

Each use case below is a focused problem we solve in production terms — tagged with the industries where it matters most, and labeled honestly by status.

Deployed Live with a customer today Applicable Engine ready — domain configuration required
01

Planning Intelligence

Decide what to make, when, and with which resources — before the shift starts, not after it slips.

Production Planning & Scheduling

Deployed

Sequence orders across lines and machines under changeovers, due dates, and material availability — and re-sequence in seconds when something breaks.

Capacity Planning

Deployed

See where capacity actually binds — machines, tools, people — and plan around it months ahead.

Capacity-Feasible Supply Planning

Applicable

Your MRP assumes infinite capacity. We take its output and make it actually producible — a layer on top of your ERP, not a replacement for it.

Line Balancing Optimization

Applicable

Distribute tasks across stations to lift throughput without adding a single station.

Shift Planning

Applicable

Legal rest rules, skill coverage, fairness constraints — solved together, not traded off by hand.

02

Allocation Intelligence

Assign scarce resources — vehicles, aircraft, pallets, people — where they earn the most.

Order Fulfillment Optimization

Deployed

Which order ships from which node, on which vehicle, at which cost — decided jointly, not greedily.

Loading & Pallet Optimization

Deployed

Pack more into every truck and pallet — 3D loading under real handling rules.

Resource Allocation Planning

Applicable

Allocate constrained production capacity, equipment, and people across competing demands with defensible trade-offs.

Cutting Stock Optimization

Applicable

Cut sheets, coils, and profiles with minimum waste under real tooling constraints.

Tail Assignment

Applicable

Assign aircraft to rotations under maintenance windows, range limits, and turnaround rules.

03

Scheduling Intelligence

Sequencing problems where the cost of a wrong order compounds hour by hour.

Paint Job Scheduling

Deployed

Order vehicles through the paint shop to cut color changeovers and energy per unit.

Cleaning Campaign Scheduling

Deployed

Sequence API production campaigns to minimize cleaning downtime while meeting GMP constraints.

Crew Scheduling

Applicable

Road, field, and maritime crews scheduled under duty-time regulations, qualifications, and disruptions.

ULD Scheduling

Applicable

Position and schedule unit load devices across a cargo network to stop shortages before they ground freight.

04

Scenario & Simulation Intelligence

Test the decision before you live with it. Every optimized plan is a bet on how reality will behave — we let you run that bet first, under disruption, demand shifts, and constraint changes.

Disruption Scenarios

Machine failure, vehicle breakdown, delayed supply, order surge. See how the plan holds — and where it doesn't.

What-if Planning

Add a shift, change a fleet mix, shift a due date, open a depot. Compare outcomes before you spend.

Robustness Scoring

Not just the best plan on paper — the plan that survives the day it actually has.

Digital Twin

A model of your real constraints you can stress-test continuously, not a one-off study.

Optimization tells you the best plan. Simulation tells you whether it will survive contact with reality. We give you both.

05

Risk & Deviation Intelligence

Detect deviations from plan early and absorb them before they cascade. Detailed use cases are in development — talk to us if this is your problem today.

Don't see your problem here?

If it's a planning, allocation, or scheduling problem with real constraints, it's probably ours. Bring it to a working session.

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