AI Commerce
Edit on GitHubAI Commerce brings AI-powered capabilities to your Spryker storefront and back office, reducing manual effort for buyers and shop operators, accelerating commerce workflows. Features are built on the AiFoundation abstraction layer, so the underlying AI model can be swapped or configured per feature without changing application code.
Features
| FEATURE | DESCRIPTION |
|---|---|
| Smart PIM | Help catalog managers enrich product information directly in the Backoffice PIM. Get guided suggestions to speed up day-to-day catalog work, improve consistency across markets and languages, and keep full control through human review and auditability. |
| Visual Add to Cart | Lets buyers upload a product image on the Quick Order page. AI recognizes the products in the image and pre-fills the order form with matching SKUs and quantities — enabling rapid bulk ordering without manual entry. |
| Back Office Assistant | An AI-powered chat widget embedded in the Back Office. Admin users can ask natural language questions to navigate the Back Office, diagnose order issues, and create or update discounts. |
| Search by Image | Lets customers upload a photo to search for products. AI analyzes the image, identifies a search term, and redirects to search results or the first matching product page. |
| Smart CMS Content Assistant | An AI-powered panel in the Back Office CMS Page and CMS Block glossary editors. Back Office users can generate and refine placeholder content per locale through a conversational AI interface. |

Configure AI providers
All AI Commerce features are provider-agnostic. You can configure OpenAI, AWS Bedrock, Anthropic, or any other supported provider independently per feature — swapping the underlying model without changing application code. For instructions, see Configure multiple AI providers for AI Commerce.

Who benefits
| ROLE | BENEFIT |
|---|---|
| B2B buyers | Faster reordering from photos of shelves, product lists, or packaging. Find products by uploading a photo instead of searching by name. |
| Store operators | Reduced support requests caused by manual order entry errors. Faster Back Office workflows through conversational AI assistance. |
| Developers | AI provider-agnostic integration — swap or configure models per feature via configuration. |
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