Make the forecast explainable before making it official.
Build an explainable approved demand forecast with AI-assisted model guidance, anomaly detection and confidence context across historical quantity, value, events, Hijri seasons, discounts and governed adjustments.
Separate the statistical baseline from business judgment.
Planners can see what the model predicted, what the business changed and why the final approved demand is different.
Correct demand history
Handle no-sales periods, stock-outs and anomalies without changing operational sales records.
Bring calendar context
Use holidays, events, seasons, Hijri calendar periods and discounts as forecasting inputs.
Run and compare
Execute production or test runs, compare model quality and retain versioned inputs.
Capture business knowledge
Apply scoped quantity or percentage changes with owner, evidence, reason and validity.
Govern final demand
Route the forecast version for approval and lock the approved result.
Feed the Sales Plan
Release only the approved demand series as the starting point for planning.
Every number keeps its origin.
Turn demand signals into a trusted planning input.
Preserve model transparency, commercial judgment and approval evidence.