Frequently Asked Questions (FAQ)

Intuendi provides a Demand Forecasting and Inventory replenishment software. You can upload your catalog, do the forecasts and manage your purchase orders.
Intuendi manages your data applying a hierarchy where a category contains more products which are sold through one or more locations or warehouses over multiple regions or channels. Hence, a product belongs to a unique category, but a region can belong to multiple products. Moreover, each region or channel belongs to a unique location.
At the moment, you can rearrange your own catalog only through a new importation.
At the moment, you can modify your sales history only through a new importation.
Yes, it is. In the app navigation bar, you can find the tab for the exportation.
The activity pages represents your activities done with Intuendi. You can find all your forecast and importation tasks.
You can use whatever part of your historical sales, but we recommend to use all your available history, in order to have more accurate forecasts.
Yes, it is. The system allows you to forecast new products.
It depends on your needs. You can forecast your catalog at every hierarchy level. A single category, product or region can be forecasted independently.
Yes, it does. Intuendi is able to manage promotions in both discount percentage and discounted units forms. Please check the import instruction and start enjoying your promotions.
Currently in development. Contact us in order to be notified when they will be available.
If you’re not a Shopify merchant, you have to generate the import files described in Once done, you can import via API (see the data import page) or using the application.
Yes, you can find it in the data import page where the file formats provided by Intuendi are described.
You can generate your data in CSV, XLS or XLSX formats.
The frequency of your sales history and of your forecasting data represents how your data will be aggregated during the import phase. If you choose a monthly frequency, you will find your history data organized by months and your forecasting will be monthly, consequently.
It is the number of periods to be forecasted according to the chosen frequency. If your sales history is organized by months and you’ve chosen a horizon equal to 6, then your forecast will be of 6 months length.
In the case you don’t provide the lead time info of a product, then the system will use the default lead time value in days for the inventory forecasting and purchase order functionalities. However, it is strongly recommended to set the lead time info for each product of your catalog.
In the case you don’t provide the coverage info of a product, then the system will use the default coverage value in days for the purchase order functionality. However, it is strongly recommended to set the coverage info for each product of your catalog.
The system allows you to forecast new products, i.e. products with few data points. If checked, the system will automatically detect new products and you will be able to forecast them, otherwise it will consider them as canonical products.
All your previous data (sales history, forecasts and purchase orders) will be canceled.
If the SKU limit is 20, then the system will consider the first 20 SKUs found during import.
If you need more SKUs than your subscription’s limit, try to upgrade (check the pricing plans page).
Check the accepted fields in the data import page. Every other field will not be considered in the import.
Intuendi uses a Machine Learning engine which chooses the best forecasting model given a time series. Our engine exploits several statistical methods and proprietary algorithms for catching trends and seasonal patterns.
Intuendi provides the users with two types of forecast strategies: bottom-up and top-down. The bottom-up strategy forecasts only at product-region level. On the contrary, the top-down strategy forecasts at every hierarchy level in order to improve the quality using total business, category, product trends and seasonalities.
When you launch a forecast task, you can select a quality level. A low quality level makes the forecast task more speed, but with a lower quality in terms of trend and seasonality. On the contrary, a high quality level makes the forecast more accurate, but it takes more time to execute.
Intuendi does a bottom-up forecasting strategy. We do the forecast at the lowest levels of the catalog, then we summed them up the highest considered level. For example, the aggregated forecast for a product will be a summation over all the regions considered by the product.
Yes you can. At the product-region level, you can use the override functionality for modifying your data.
Using a bottom-up strategy for the forecasting, if you modify the forecast at higher levels, there will be an inconsistency with respect to the lowest levels of the hierarchy.
It means that you have some categories, product or regions that are not forecasted yet.
When you launch a forecast at a certain hierarchy level, then the forecast button will be disabled because it will be useless launching the same task.
Often the flatness of the forecast depends on the absence of trends or seasonality pattern in the time series, so the best model will be a constant model. Often, it happens on short series.
Those intervals represent a degree of confidence of the chosen forecasting model with respect to the time series. If the interval is wide, then the forecasting model is not very confident.
For new product forecasting, Intuendi applies a similarity approach considering both the forecast and the sales of similar products.
Intuendi allows users to improve their forecasting performance by using promotions. Moreover, we are currently developing new integrations with external data sources. Contact us to learn more or ask for a specific integration.
Yes, it does. For example, if you have a product stored in two different locations, the system gives you two different reorder suggestions, one for each location.
Once the stock reaches the level indicated by the reorder point, the user should place an order. Such stock level is the combination of the lead time demand (the expected forecast demand during the lead time) and the safety stock level (a quantity based on the variability of the forecast).
The service level is the probability of not going stockout during the lead time. The larger the service level is, the larger is the the safety stock level. However, large values of the service levels may lead to extra levels of the stock.
The estimated date of the replenishment is the moment when the stock level reaches the reorder point value.
Once the system suggests an estimation date of your replenishment, then an estimation of the stock arrival will be derived consequently on the base of the lead time length. From that moment, the forecasted demand until the coverage end is considered as the quantity of stock that you will need to reorder to satisfy the coverage.
In this case, an estimation date of the replenishment can’t be found. The system assumes that you will make an order immediately. The purchase order quantity is computed considering the forecasted demand from the moment the stock reaches zero to the end of the coverage period. However, it is strongly recommended to set the lead time info for each product of your catalog.
The suggested reorder quantity is the forecasted demand during the coverage period. The reorder quantity, instead, considers the minimal order quantity and the packing unit constraints, if defined.
If a purchase order is marked as unnecessary means that the stock level will not reach the reorder point during the forecast horizon. Thus, no replenishment is needed since there is no risk of stockout.
When a purchase order is overdue, it means that there is the probability of going stockout. Check the estimated date of the replenishment suggested by Intuendi: you will notice that it is past due.
The reorder point value considers the safety stock level which reflects the uncertainty of the forecast. It may happen that the system has forecasted a very small demand during the coverage period (even equal to zero) such that the stock will never go to zero. However, the safety stock level tells you to replenish in order to deal with unexpected future peaks of the demand.
Because the coverage period ends after the forecasted horizon. Thus, you will see only a part of it. However, the purchase quantity considers the extension of the forecast beyond the horizon in order to suggest you a reasonable quantity.
When a purchase order is overdue, the system assumes that you are going to place an order immediately. If it is not the case, the day after, the purchase order quantity should be recomputed since the coverage windows will shift one day ahead.
If you don’t import a new catalog, only the overdue purchase orders will be recomputed with a daily frequency.
If you upgrade your plan, you have to pay only the difference for the remaining days. Then if you have subscribed to a yearly plan, you will pay the right fee for the next months.
Yes, you can. However, your subscription will remain active until the end of the subscription period.

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