Accurate inventory forecasting and demand planning are essential for any store that work with its own warehouses. The precise forecast allows for preventing out-of-stock for trending products, reduces overstocks, and in time identity dead inventory.

Opposite to inventory value report, inventory forecasting - also known as demand planning - asks questions for all three time periods:

• Past: How many products were sold and how fast?
• Current: What is the actual stock status?
• Future: How many products do we need and when?

What is eCommerce product analysis?​

eCommerce product analysis is an analysis performed on data, that is directly related to your store products. The various sets of data collected for the same products allow you to get a clear and precise picture of the actual state and determine trends.

Why and when do you need product analysis?​

The key tasks of product analysis are:

• Get an actual picture of the current state
• Determine trends
• And most important - split products into two categories "good" and "bad" products

Determining what products are good, allows concentrating efforts on the right products and forgetting about bad products.

We've significantly improved the reports grid with the recent update and added the ability to select any cell range and copy it to the clipboard. It adds new abilities to quickly transfer your data to Google/Excel spreadsheets without exporting.

How reporting is done in Shopify​

Analytics to boost sales and revenue​

There are several types of how a store can depict the statistics available in its Shopify database. These summary papers in at large can be divided on general and subtle that include specifics.

In admin panel a manager can obtain reporting functionality based on classes presented inthe embedded Shopify reports app . Any of the aforementioned sections are established according to the type of the result being depicted. For example, the summary paper "Sales Over Time" serves as a tool for understanding how sales are going in a general picture.

The rundown of accessible statistics depiction tools is widespread for any store, but the specific reports that can be utilized by a storekeeper rely upon the membership plan empowered in the company.

With the recent Mipler release, we’ve added column description menu.

You can now find more information about a column in the Info menu.

With the recent platform release, we’ve added the ability to share reports. Sharing available for most popular formats: HTML, PDF, CSV, XLSX

Using new filters, now it’s possible to build more complicated filters (like select orders with a delivery date next Wednesday)

📑 With the recent update, we’ve updated the grid component on the reports page. The new grid supports to display of a large amount of data (even reports with 100 columns and 10000 rows won’t slow down the browser anymore) ✊

We’ve updated the data model for Shopify and added 2 brand new reports by Shopify Payouts and Payout Transactions.