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Operations›Revenue Outlook
_predict
projects
Table
on_time · on_budget
Targets
% of completion
Model
_search_predict
POST /api/v2/_predict
{
"from": "projects",
"where": {
"project_type": "construction",
"manager": "M. Hakala",
"team_size": 9,
"budget_eur": 130400,
"duration_days": 136,
"priority": "high"
},
"predict": "on_time"
}
{
"from": "projects",
"where": {
"project_type": "construction",
"manager": "M. Hakala",
"team_size": 9,
"budget_eur": 130400,
"duration_days": 136,
"priority": "high"
},
"predict": "on_time"
}
How it works
The order book is arithmetic — every ERP can spread a signed project's value across its scheduled months. What no ERP has is an opinion on whether those months will hold. aito.._predict on on_time asks the delivery history: for a project of this type, this size, this duration, under this manager, how often did the schedule survive? The blue bar is the schedule. The gold bar is the schedule after that answer is applied — the same money, moved in time.
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