Shopping Cart Suggestions

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Using shopping cart suggestions you can offer your customers the products which they might be interested to buy. Customers are often loyal to a particular brand or some products which they frequently buy, thus it's a good idea to build suggestions based on the customer's shopping behavior. As all customer's sales data is stored in SAP Business One, you can easily recommend certain products to a customer based on the customer's order history. SAP Business One uses specific rules to single out product suggestions for a customer.

For more information about how to enable this functionality for your web store, see Product Suggestions.

To configure shopping cart suggestions, in SAP Business One click: Web Store > Web Stores. Select the necessary web store and on the General tab, you can set up the Shopping Cart Suggestion settings.

The table below provides the description of the shopping cart suggestions fields.

Field

Description

Feature Status

Use this option to enable / disable shopping cart suggestions for a web store.

Sorting Option

This option determines which products based on the customer's order history should be shown as suggested.

  • If Count is selected, then SAP Business One will look for the products which were ordered by a customer most frequently.

  • If Revenue is selected, then SAP Business One will return the most expensive products bought by a customer.

Lookback Years

Enter the number of lookback years for SAP Business One to check the customer's order history.

Day Range

Enter the day range within which SAP Business One should check the customer's order history.

Example:

Current date: 02.15.2016
Sorting Option: Count
Lookback Years: 2
Day Range: 10

In this example, SAP Business One will look for the most frequently bought products within last 2 years, in our case from 2014 up to 2016, and within 10 days range - 10 days before the current date and after.

Thus, the customer's order history within the time period below will be checked in SAP Business One and based on this information product suggestions will be shown to a customer in the web store:

February 5 - 15, 2016, February 5 - 25, 2015, and February 5 - 25, 2014