Settings and activity
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13 votes
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AdminMaximilian Forn
(Admin, shopware AG)
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34 votes
An error occurred while saving the comment Currently, a shopping basket results in only one order and one delivery. However, there are several use cases where customers need to split the items in a single basket into multiple orders or deliveries.
Goal would be:
Allow users to split a single shopping basket into multiple orders and/or deliveries before completing the checkout process in frontend.
Description:
During checkout, users should be able to assign items from one basket to different orders or deliveries.Examples:
Delivery 1: In-stock items → Ship immediately.
Delivery 2: Pre-order items → Ship when available.
Delivery 3: B2B items → Ship to a different delivery Warehouse address.All items remain in a single shopping basket until checkout, where they can be organized into separate orders or deliveries based on the customer's needs.
Use Cases
Deliver items to multiple shipping addresses within one purchase.
Separate in-stock items from backordered or pre-order items.
Schedule deliveries for different dates.
Split items by supplier or warehouse.
Allocate items to different internal cost centers or projects.Functional Requirements
A single shopping basket can be split into multiple orders and/or deliveries in frontend.
Users can assign items to different deliveries (e.g., via selection or drag & drop).
Each order/delivery has its own shipping information (shipping address, shipping method, delivery date & Tracking-Link).
Prices, discounts, taxes, and shipping costs are calculated correctly for each order.
Before checkout, users receive a clear summary of all generated orders/deliveries.
After confirmation, the system creates multiple orders, each with its own order number.AdminMaximilian Forn
(Admin, shopware AG)
supported this idea
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89 votes
Hi there! Thanks again for your input — it really helps us shape the product.
We’ve officially started the project on Product Bundles and are now developing a first blueprint! We’ll keep you updated on our progress.
An error occurred while saving the comment It would be great if, when you create a bundle, the system recognised the products and then used AI to combine all the product cover images into a collage, which would then be automatically saved as the bundle cover image. That way, you could create bundles more quickly and wouldn’t have to go to the trouble of creating a good cover image first in a image editor programm.
AdminMaximilian Forn
(Admin, shopware AG)
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24 votesAdminMaximilian Forn
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2 votesAdminMaximilian Forn
(Admin, shopware AG)
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2 votesAdminMaximilian Forn
(Admin, shopware AG)
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2 votesAdminMaximilian Forn
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16 votesAdminMaximilian Forn
(Admin, shopware AG)
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4 votesAdminMaximilian Forn
(Admin, shopware AG)
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5 votesAdminMaximilian Forn
(Admin, shopware AG)
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33 votes
An error occurred while saving the comment This feature should already be possible via the custom sorting in the Shopware category settings:
https://docs.shopware.com/en/shopware-6-en/catalogues/categories?category=shopware-6-en/catalogues#sorting -
42 votesIN RESEARCH · 9 comments · Shopware 6 - Product Feedback & Ideas » Products, Prices & Properties · Admin →AdminMaximilian Forn
(Admin, shopware AG)
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31 votesAdminMaximilian Forn
(Admin, shopware AG)
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7 votesAdminMaximilian Forn
(Admin, shopware AG)
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7 votesAdminMaximilian Forn
(Admin, shopware AG)
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2 votesAdminMaximilian Forn
(Admin, shopware AG)
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7 votesAdminMaximilian Forn
(Admin, shopware AG)
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42 votesAdminMaximilian Forn
(Admin, shopware AG)
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43 votesAdminMaximilian Forn
(Admin, shopware AG)
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4 votesAdminMaximilian Forn
(Admin, shopware AG)
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Shopware currently provides basic product recommendations such as manual cross-selling and product groups. However, there is no centralized recommendation engine that dynamically generates personalized product recommendations based on customer behavior, business rules, or contextual data. AI influence is also welcome.
Goal
Introduce a Recommendation Engine that automatically suggests relevant products across the storefront based on customer behavior, predefined business rules, product relationships, and contextual factors.
Description
The Recommendation Engine should analyze customer interactions (e.g., viewed products, purchases, cart contents, browsing history, buying history) together with configurable business rules to generate personalized recommendations in real time.
Recommendations should be reusable throughout the storefront and configurable for different placements, such as Product Detail Pages (PDP), category pages, CMS pages, the shopping cart, checkout, and landing pages.
Example Recommendation Types:
Behavioral Recommendations
Customers also bought
Frequently bought together
Recently viewed products
Trending products
Customers with similar interests also purchased
Context-Aware Recommendations
Weather-based recommendations (e.g., umbrellas on rainy days, sunscreen during sunny weather).
Seasonal recommendations (Summer, Winter, Christmas, Easter, Black Friday, etc.).
Time-based recommendations (morning, evening, weekends).
Region-specific recommendations.
Campaign-specific recommendations.
Functional Requirements:
Configurable recommendation strategies.
Rule builder integration to define recommendation logic.
Personalized recommendations based on customer behavior.
Anonymous visitor support using session-based behavior.
AI-ready architecture for future machine learning integrations.
Performance optimized through caching and indexing.
API support for headless storefronts.
Analytics to measure recommendation performance (CTR, conversions, revenue generated).
CMS Block
The block should allow merchants to:
Select one or multiple recommendation strategies.
Configure the number of displayed products.
Define fallback behavior if no recommendations are available.
Customize the layout (slider, grid, carousel).
Reuse the block on landing pages, shopping experiences, and CMS pages.
PDP Integration
The Product Detail Page should support configurable recommendation sections, for example:
Customers also bought
Frequently bought together
Complete the look
Similar products
Accessories
You may also like
Each section should be individually configurable and enabled or disabled.
It should be possible to manage this globally, by category or by product, rather than manually as is the case with the current cross-selling module.