Getting started
i6Previsio
Projection of future demand, volume and capacity behavior across different horizons and aggregation levels.
1 min read
Decision family: Forecasting, Demand Modeling & Sales Planning
Models the historical series of sales, inventory, capacity and external variables to anticipate what is likely to happen in each combination of product, channel and location. Supports replenishment, sales planning, capacity allocation and target-setting decisions, with a reading of the factors that push each projection up or down.
Output types
- Demand forecast by period, product, channel and location.
- Confidence intervals and optimistic/pessimistic scenarios.
- Stockout and overstock risk per item.
- Replenishment suggestion and coverage in days.
- Sales plan and targets by commercial hierarchy.
- Drivers of each projection (seasonality, trend, price, events).
How to call
await sdk.previsio().forecast({ dataset, table, horizon, granularity })| Name | Type | Required | Description |
|---|---|---|---|
dataset |
string |
Yes | Source dataset. |
table |
string |
Yes | Source table. |
horizon |
string |
Yes | Forecast horizon, for example "30d". |
granularity |
string |
Yes | Granularity, for example "daily". |
Returns: a Promise with an array of forecast points (timestamp, value, lowerBound, upperBound).
Minimal example
<script src="https://cdn.infinity6.ai/releases/sdkweb/latest/bundle/i6sdk-web.js"></script>
<script type="module">
async function main() {
const sdk = new window.I6Sdk();
const user = await sdk.auth().requireUser();
if (!user) return;
const result = await sdk.previsio().forecast({
dataset: "<your-dataset>",
table: "<your-table>",
horizon: "30d",
granularity: "daily",
});
console.log(result);
}
main();
</script>Support
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