Demand & availability forecasting

What you configure

forecastDemand

Set the requested start/end interval and bucketMinutes.

demand

Supply projected demand intervals, units, and resource IDs.

resources / events / profiles

Keep capacity, scheduled load, and shift policies current.

Integration code example

1. Translate your projected orders or workload into resource demand intervals.
2. Run the licensed planner over the intended forecast horizon.
3. Present demand, net available units, coverage, and shortfall together rather than hiding the assumptions.

Copy this TypeScript into your application, not the browser console. Replace YOUR_WTS_LICENSE_KEY with an entitlement issued for your deployment origin. A WTS license is not a Google, Microsoft or CalDAV credential. These examples are documentation only and never execute on this page.

npm install @wts-calendar/core

import { verifyCalendarLicense } from '@wts-calendar/core';
import { AdvancedResourcePlanner } from '@wts-calendar/core/advanced-resource-planning';

const license = await verifyCalendarLicense('YOUR_WTS_LICENSE_KEY');
const planner = new AdvancedResourcePlanner({
  license,
  timeZone: 'UTC',
  resources: [
    { id: 'design', title: 'Design studio', capacity: 2 },
    { id: 'engineering', title: 'Engineering', capacity: 4 },
  ],
  events: [
    {
      id: 'review',
      title: 'Design review',
      resourceId: 'design',
      start: '2026-09-07T09:00:00Z',
      end: '2026-09-07T10:30:00Z',
    },
  ],
});

export const forecast = planner.forecastDemand({
  start: '2026-09-07T08:00:00Z',
  end: '2026-09-07T18:00:00Z',
  bucketMinutes: 60,
  demand: [
    { start: '2026-09-07T08:00:00Z', end: '2026-09-07T12:00:00Z', units: 3 },
    { start: '2026-09-07T12:00:00Z', end: '2026-09-07T18:00:00Z', units: 8 },
  ],
});
console.table(forecast.buckets);
console.log('Coverage', forecast.coveragePercent);

Application responsibilities

The engine returns data, not a built-in chart. Render results in your application and call planner.setData() after resources, events or profiles change.

Supply your own demand estimates. This compares demand against available capacity; it does not train a forecasting model.

Behavior and lifecycle

• Each bucket combines peak demand, existing scheduled load, and modeled availability.
• Results distinguish covered, at-risk, and shortfall states.