Frequently Asked Questions (FAQ)

Intuendi provides a Demand Forecasting and Inventory replenishment software. You can upload your catalog, do the forecasts, check your inventory status and manage your purchase orders with a powerful budget optimization tool.
Intuendi manages your data applying a hierarchy where a category contains products which are stored in one or more locations (or warehouses) and sold over multiple regions (or channels). Therefore, a product belongs to a unique category, but a region can belong to multiple products. Moreover, each region is served by a unique location.
At the moment, you can rearrange your own catalog only through a new importation. However, you can choose between an update of your catalog and a full new importation. With the former, you are able to update some fields of your catalog and to add new data incrementally.
Yes, through an update of your sales data with the “Ignore sales up to …” left unchecked in the importation modal, in order to overwrite the historical data you want to modify.
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, importation and automation 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 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.
Yes, it does. Intuendi is able to handle such anomalies in order to perform a better demand forecasting. Please check the import instruction.
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 according to the format described here. Once done, you can import via application (see the data import page).
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.
If a line order is refererred to an unknown SKU, i.e., a SKU not found in the catalog file, or to an unknown SKU-location match, it is ignored. This feature could be used to filter out noisy data in the order lines or to build various versions of the catalog when you’re interested in dealing with a subset of your products by removing the others from the catalog.
Check the accepted fields in the data import page. Every other field will not be considered in the import.
All your previous data (sales history, forecasts, inventory status and budget optimization) will be canceled.
Yes, you can update your catalog by providing new data which will be added to the existing catalog.
Yes, you can update some parts of the catalog by checking the settings when updating the catalog. Check out the FAQs that follows.
If checked, some info about existing products will be updated, for example, the product name or all the inventory info.
If checked, promotions found with the same target and the same interval will be updated (discount and units), avoiding duplicates. If unchecked, these matches will be simply ignored.
If checked, purchase orders about a pair product-location found with the same issue date will be updated (ETA and quantity), avoiding duplicates. If unchecked, these matches will be simply ignored.
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.
Browsing the catalog you’ll be able to see aggregated forecast at every 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.
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.
Intuendi allows users to improve their forecasting performance by using promotions and anomalies (such as stockouts and exceptions). Moreover, we are currently developing new integrations with external data sources and new causals. Contact us to learn more or ask for a specific integration.
The forecasting engine will learn the correlation between the promotion info (discount, duration, units) and the sales behavior. Such correlation will then used in the forecasting in order to uplift the future estimated sales.
In both cases, the engine tries to repair the sales point where an anomaly occured. In case the stockout or the exception had altered significantly the sales point, the engine will replace it with an estimation of the true demand.
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.
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 reordering policy is how Intuendi should suggest you when to reorder. Two options:
  • Ideal date: the best date from an inventory optimization point of view, that allows to issue an order without risking understock.
  • Starting from today: if you use Intuendi on Monday once you arrive at work, Intuendi will bring forward to Monday the replenishment of products whose ideal dates are within the healthy window (or a given number of days), by re-optimizing quantities. In such a way, for instance, you’ll issue a complete order in one shot for the whole week and wait for the next Monday for issuing a new order.
The healthy window is a range of days in which the stock level of a product is healthy, i.e., the product is not in understock or in overstock. Usually, it is the difference between the days of coverage and the lead time.
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.
The budget environment allows you to maximize the ROI with a limited budget. You have to set a maximum budget and a time window in which you want to spend it. Once the optimization button is clicked, the system will compute for you the best purchase order list selecting the most profitable products and their optimal reorder quantity.
Yes, you can. However, your subscription will remain active until the end of the subscription period.