Use AI where it’s strongest: predicting, detecting, explaining, and recommending. Keep the schedule engine deterministic so every plan stays feasible.
See what AI would recommend — safely, transparently, and without changing your schedule.
Every AI output is recorded as a traceable event: what it suggested, when, and why.
Built to run in real factories: predictable performance, sensible limits, and safe data handling.
You stay in control. AI assists generate recommendations and explanations — planners decide what to apply.
AI that improves schedules—without breaking your constraints
AI suggests options; the optimizer enforces capacity, materials, skills, and due dates.
Deterministic estimation of processing and setup times, with uncertainty (P50 / P90) and a confidence signal based on your own history.
When reality changes, get ranked recovery moves with impact and tradeoffs.
Deterministic Monte Carlo what-if: simulate uncertainty with a fixed seed and get KPI ranges (P50 / P90) — not just a single number.
Pre-solve quality gates catch broken inputs early (blocking issues vs warnings) so you don’t waste planning time or ship misleading schedules.
Infer sequence-dependent setup times from your history (A→B differs from B→A) and generate a ready-to-use changeover matrix with P50 / P90 and confidence.
Turn “raw inputs” into schedule-ready inputs consistently: apply improved times, merge inferred changeovers, and return clean deltas — with opt-in rollout before re-planning.
Answer “why is this late?” and generate shift notes and exception summaries.
Built for real production teams: consistent results, clear explanations, and no black-box surprises.
A safer way to use AI: consistent results you can review and trust
Continuously learn from planned vs actual to improve quantiles and changeovers per plant/line/shift — week over week.
More accurate durations using explainable features (family, quantity buckets, shift, skill, machine state) via robust deterministic quantiles.
Generate a strong initial feasible plan (dispatching + inferred setups) and feed it as an incumbent to CP-SAT/MIP for faster convergence.
Detect implicit rules from history (no-mix, clean-to-dirty, min waits, batching) and propose them as soft constraints before promoting to hard.
Calibrate variance and downtime per resource (MTBF/MTTR + calendars) and output probability of meeting due dates per order.
Automatically sweep bounded scenarios (P50 vs P90, weights, frozen horizon, overtime policies) and rank them by KPI tradeoffs—so planners can choose with confidence.
Learn from planner edits (locks, overrides, resequencing) to capture intent and reduce manual interventions over time.
Explain “why here?” per operation (binding constraints + objective impact) and offer safe auto-repair for common data issues instead of hard failures.
AI assists learn from your plan-vs-actual signals. PlanQuill connects to your ERP/MES and keeps schedules synchronized.
Native integration with SAP ECC and S/4HANA
Oracle ERP Cloud and E-Business Suite
Dynamics 365 Business Central
REST API for custom integrations
We start with one line or one planning area and prove measurable impact in weeks.
Trusted by industry leaders worldwide