Who should be assigned, when, where, and in what order? The system organizes people, time, qualifications, vehicles, equipment, deadlines, and other conditions to create feasible candidate plans.
Choose from the decision people make every day rather than from a technology name. Each page shows the required data, rules that can be respected, and concrete outputs.
Create candidate rosters while checking requested days off, qualifications, required staffing, and consecutive work limits together.
Coordinate visit windows, qualifications, continuity, and travel time to build a feasible day schedule.
Create vehicle assignments and route order candidates from destinations, vehicles, capacity, and time windows.
Build feasible production or operation plans while considering due dates, equipment, staff, materials, operation order, and setup changes.
Rank candidate owners for each case from qualifications, experience, area, availability, customer fit, and current load.
Ordering quantity, inventory allocation, meeting schedules, room placement, and other work outside the five categories can also be organized from rules and evaluation criteria.
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The center of automation is not code alone. It is separating what must be respected, what should be respected when possible, and what makes a plan better. Choose a workflow to see an example model.
Select the items that apply and the page will show how to proceed. This is not a sales score; it is a guide for the first consultation.
The first verification step will appear based on what you select.
Continue to diagnosisSelected items are processed only in this page. They are not sent or stored.
Not every workflow needs advanced optimization. Some are better solved with simple rules, and some need data cleanup first.
Start with a calculation prototype using real data rather than a full production system.
In these cases, we start with data cleanup or small rule design instead of forcing an optimization project.
Different industries often share the same mathematical structure: assignment, sequencing, and resource allocation.
Respect qualifications and visit windows while balancing continuity and travel burden.
Decide vehicle assignments and visit order from load, time windows, vehicles, and drivers.
Plan production order while considering deadlines, equipment, operation sequence, labor, and materials.
Choose owners and visit order from sites, qualifications, travel, equipment, and urgency.
Create balanced rosters from required staffing, time-off requests, skills, and demand patterns.
You do not need to contact us immediately. Choose between seeing the calculation move, testing with real data, or organizing the work before consultation.
Change conditions in the browser and see how calculated results change.
View mathematical demos →Use your current spreadsheet to prototype only the calculation part and compare it with your current plan.
View prototype →Use questions to organize what you decide, what conditions exist, and what data is needed.
Start mathematical diagnosis →These questions help separate planning automation from generic system development before a consultation.
No. The first step is to express the current decision as data, hard rules, preferences, and evaluation criteria. The model can then be small.
Yes. A first prototype can usually start from a representative spreadsheet or CSV if the columns and rules are understandable.
No. The system should present candidates, unmet conditions, and reasons so people can review and adjust the final decision.
If your workflow is not listed, use the diagnosis path. Many ordering, inventory, meeting, classroom, and allocation problems can still be framed as models.
No. Semi-automation is often better: generate candidate plans for people to confirm, recalculate only the changed part, or let people handle unresolved assignments.
The repeat frequency and planning burden matter more than company size. Even a small team can benefit if the conditions are complex and weekly coordination takes too much time.
Share the spreadsheet you use today and explain who decides what, from which information, and by what procedure. We will organize whether automation fits, what data is needed, and what to test first.
