iVendNext Foresight - Considerations & Current Limitations
This is honest, professional framing for the consultant. Share the relevant points with customers during the blueprint, so there are no surprises.
Topic | What to know | How we handle it |
|---|
Warm-up period | Forecasts need around 90 days of history to reach the quoted accuracy. | Set expectations; run alongside the current process during warm-up. |
New items | Items with no history cannot be forecast and are marked Critical. | Manage them manually for the first 90 days. |
Movement thresholds | Sales movement classification is derived from predicted quantity and is not customer-tunable today. | Flag in blueprint; raise an enhancement request if a customer needs custom thresholds. |
Sales forecast regeneration | A full regeneration rebuilds the live sales-forecast list; history for comparison lives in the Accuracy records. | Use the Accuracy reports for historical comparison, not the live list. |
Auto-SO | Keep auto-Sales-Order off until forecasts are proven, then pilot narrowly. | Follow the standard roll-out guidance in Section 11.3. |
Advanced models (Prophet, LSTM-class deep learning) | Some advanced models are on the roadmap; confirm availability before committing to a customer. | Position as roadmap; demo only what is live. |
Report visibility | A small number of reports may need role assignment to be visible to end users. | The consultant assigns report access during configuration. |
Sample-data views | Some reports show illustrative data on empty tenants. | Explain during demos; it is replaced by real data once forecasts run. |
None of these require customer infrastructure work. They are configuration and expectation-setting items that the consultant manages during implementation.
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