On-Demand ForecastingStart A ConversationIllustrative output
| Date | Forecast |
|---|---|
| Jan 1 | 1,820 |
| Jan 2 | 1,910 |
| Jan 3 | 1,875 |
| Jan 4 | 1,960 |
| Jan 5 | 2,040 |
| Jan 6 | 1,930 |
| Jan 7 | 1,860 |
| Jan 8 | 2,110 |
| Jan 9 | 2,180 |
| Jan 10 | 2,240 |
| Jan 1 | 1,820 |
| Jan 2 | 1,910 |
| Jan 3 | 1,875 |
| Jan 4 | 1,960 |
| Jan 5 | 2,040 |
| Jan 6 | 1,930 |
| Jan 7 | 1,860 |
| Jan 8 | 2,110 |
| Jan 9 | 2,180 |
| Jan 10 | 2,240 |
| Jan 1 | 1,820 |
| Jan 2 | 1,910 |
| Jan 3 | 1,875 |
| Jan 4 | 1,960 |
| Jan 5 | 2,040 |
| Jan 6 | 1,930 |
| Jan 7 | 1,860 |
| Jan 8 | 2,110 |
| Jan 9 | 2,180 |
| Jan 10 | 2,240 |
How This Works
Consultation, model development and validation. No development fee. No obligation.
Discussion of your forecasting needs, data sourcing, model specifications and the desired delivery cadence.
Your forecasting model and data workflow are built around your planning needs, with sample forecasts prepared for review.
Review validation results and sample forecasts.
You elect a frequency for model updates and enter into an agreement with ODF to receive forecasts for a monthly subscription.
Forecasts arrive on the agreed schedule, ready to support your organization's planning decisions.
The model is updated at the agreed frequency. Free quarterly check-ins are included to ensure continuing alignment on forecasting needs.
↻ Ongoing while service is activeOn-Demand Forecasting develops, delivers, and maintains client-tailored demand forecasting solutions as a managed service.
No-Cost Development Phase
Keeps Costs LowSubscription-Based Service Model
Keeps Accountability for Results HighA Cost-Effective Demand Forecasting Solution,Designed to Deliver Long-Lasting Value
How This Helps
Regularly updated demand forecasts support recurring decisions about services, production, inventory and staffing.
Some industries and examples:
Plan the volume of services or production needed in the weeks ahead.
Keep purchasing and stock levels aligned with expected demand.
Use expected workload to inform staffing levels across busy and quieter periods.
Who's Behind It
“Forecasting should be rigorous behind the scenes and simple at the point of use.”
Luka Zuric holds an M.S. in Applied Mathematics & Statistics and builds automated production forecasting systems supported by cloud data pipelines. On-Demand Forecasting brings that technical skill set and advanced statistical modeling experience to businesses in need of demand forecasting capabilities.
Start A ConversationYou'll get a straightforward answer on whether it's a sensible fit and where we go from here.