Qavis product · see also Qoordinate for logistics ADAPT · Production planning & scheduling

Production plans that hold when the floor moves.

ADAPT plans and re-plans production under the constraints that actually break schedules — changeovers, due dates, stock-in/out, and turnover — with the same hybrid optimization core, live on the floor.

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15–160×
Faster scenario runs
Benchmark on large, tightly-constrained instances
96.4%
Solution quality
On validated cases
Minutes
Re-scheduling after disruption
vs. hours of manual re-planning
Inside ADAPT

The schedule, the exceptions, and the copilot.

A live Gantt of every machine and work order. An Exception Center that prices each disruption in revenue at risk. An AI planning copilot that re-schedules on request.

ADAPT production schedule — Gantt view with AI planning copilotPRODUCTION SCHEDULE · GANTT VIEW
ADAPT Exception Center — disruptions priced by revenue at riskEXCEPTION CENTER · REVENUE AT RISK
Self-learningModels improve on your data
Self-explainable resultsEvery decision, defensible
Real-time awareLive disruption recovery
Multi-scenario backedWhat-if at decision speed
Capabilities

From forecast to the minute-level schedule.

Production Planning & Scheduling

Sequence orders across lines and machines under changeover (crossover) costs, due dates, and material availability — and re-sequence in seconds when a machine drops or a rush order lands.

Inventory Planning & Optimization

Balance stock-in/out, turnover, and shelf-life against service level — so you hold what you need and nothing you don't.

Predictive Modeling

Forecast demand, processing times, and disruption from your own plant data, so the schedule is built on what's likely, not what's hoped.

Capacity-Feasible Supply Planning

Take your MRP/ERP output and make it actually producible under finite capacity — a layer on top of your systems, not a replacement.

Line Balancing Optimization

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

Specialized Scheduling

Paint job scheduling, cleaning campaign scheduling, and other sequence-critical, changeover-heavy problems.

Under the hood

The same hybrid engine, tuned for production.

Scheduling problems explode combinatorially just like routing. ADAPT routes each sub-problem to the engine that wins on it.

Engine 01

Classical + ML

Proven scheduling solvers plus demand and duration models learned from your plant data.

Engine 02

Quantum-inspired on CPU/GPU

Large job-shop and balancing instances accelerated on classical hardware, today.

Engine 03

Quantum-hybrid

Applied where tightly-constrained scheduling search spaces make it measurably pay off.

How the hybrid architecture works →

See ADAPT on your plant.

Bring one month of production orders. We'll show you the schedule your current process leaves on the table.

Book a working session