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In production

Stale models, drift, serving, alerts, what-ifs, and handing the loop to agents.

8 min

Why forecasts go stale in production

A forecast starts dying the moment the world moves and the model does not. New promotions, a competitor, a warehouse fire, a quiet change in how you record demand — live systems need a refresh cadence, drift checks, and a way to re-score the champion.

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8 min

Anomaly detection for business metrics

A fixed threshold treats every Tuesday like every Saturday. A forecast band asks whether today is weird given what the series usually does at this clock. That is the difference between an on-call fire drill and a useful alert.

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7 min

What-if analysis for forecasts

A what-if is a second forecast under a change you control — price up 8%, a promo pulled, a plant offline. You compare paths, not opinions. The point is not a perfect simulation; it is catching the decision that only looks cheap this week.

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8 min

Forecasting with AI agents

An agent can create a forecast, ask why it moved, and push the number into the tools you already run — if the platform exposes those jobs as tools, not as a chat box glued to a screenshot. The forecast still has to be a real model with a score.

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8 min

Serving forecasts through an API

A forecast that lives in a slide is a report. A forecast that answers a request — grain, horizon, quantiles — can staff a roster, bid a market, or fill a warehouse system. The hard part is the contract: version, pin, and what happens when the model changes.

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8 min

S&OP and the forecast

Sales and operations planning wants a number the company can staff, buy, and book against. It fails when each function brings a private forecast. The work is not a prettier chart. It is one grain, one horizon per decision, and a cadence that matches the meeting.

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12 min

Predict.ai vs SageMaker, BigQuery ML, and Databricks

SageMaker and Databricks are workshops. BigQuery is a warehouse that can run a model. Predict.ai is a prediction OS: you name a metric, it finds drivers, races models, and keeps a live forecast with bands, scenarios, and alerts. Pick SageMaker if you need vision or a custom GPU job. That is a different product.

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Glossary in this topic

Anomaly detection Data drift What-if analysis

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Connect an outcome and its history. Predict.ai finds the drivers, races the models, and keeps the forecast live — in the workspace, over the API, and through agents.

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