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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

js
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

html
<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>

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