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To use a Target time series dataset , you need the historical time-series demand data for the retail items (timestamp , item_id , and the target field demand )
example: you want to forecast the demand for shoes and socks based on a store's previous sales. In the following target time series dataset, store is a time-series forecast dimension, while demand is the target field.
| timestamp | item_id | store | demand |
|---|---|---|---|
| 2019-01-01 | socks | NYC | 25 |
| 2019-01-05 | socks | SFO | 45 |
| 2019-02-01 | shoes | ORD | 10 |
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