# Google releases TimesFM-3 forecasting model that predicts future from sales and weather data

> Google Research has released TimesFM-3, a compact forecasting model built to predict what happens next from messy real-world data. Rather than just extrapolating a single line, it takes in a time series alongside related signals and known future events, things like scheduled sales promotions or upcoming weather, and folds them into the prediction. The design choice worth noting is speed. At 330 million parameters it is small by today's standards, and instead of forecasting step by step it fills in all future time points in a single pass. That cuts compute time and, importantly, reduces the compounding errors that pile up when a model feeds its own guesses back into itself. Forecasting is one of the least glamorous but most useful corners of machine learning, quietly powering inventory planning, staffing, and energy grids. A capable, efficient, general-purpose model here is the kind of applied advance that shows up in ordinary businesses long before it makes headlines, and it is a reminder that not all progress looks like a chatbot.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: The Decoder · Published Sunday, September 13, 2026_

## Wortins' read

Google Research has released TimesFM-3, a compact forecasting model built to predict what happens next from messy real-world data. Rather than just extrapolating a single line, it takes in a time series alongside related signals and known future events, things like scheduled sales promotions or upcoming weather, and folds them into the prediction. The design choice worth noting is speed. At 330 million parameters it is small by today's standards, and instead of forecasting step by step it fills in all future time points in a single pass. That cuts compute time and, importantly, reduces the compounding errors that pile up when a model feeds its own guesses back into itself. Forecasting is one of the least glamorous but most useful corners of machine learning, quietly powering inventory planning, staffing, and energy grids. A capable, efficient, general-purpose model here is the kind of applied advance that shows up in ordinary businesses long before it makes headlines, and it is a reminder that not all progress looks like a chatbot.

## Source

[Read the full story at The Decoder](https://the-decoder.com/googles-new-ai-model-predicts-the-future-from-sales-data-weather-and-discount-schedules/)

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