Technology and Integration Framework
For AI agents to autonomously research, compare, make decisions, and take over business processes, robust technological integrations are necessary. The required framework includes structured product data, open interfaces (APIs), modular AI models, and automated payment processes. There are two levels of integration between an online store and AI.
| Aspect |
Via Structured Data (API/JSON/Feeds) |
Via MCP (Model Context Protocol) |
| Core Principle |
AI consumes data passively. It reads data from the store as an external reader. |
The store is used not as a dataset, but as a tool. |
| What data does AI get from the store? |
Product information (name, price, availability, description), attributes (size, color), categories |
Information and action capabilities |
| Formats |
JSON, XML, CSV |
JSON, XML, CSV |
| Query Language |
GraphQL |
GraphQL |
| Data Feeds / Business Systems |
Product feeds |
ERP and CRM data |
| What can AI do? |
Read and compare products; Understand prices; Check availability; Answer questions; Generate recommendations. |
Search products; Check inventory levels; Create orders; Calculate delivery times; Modify the shopping cart; Change parameters (if permitted); Retrieve customer data; Interact with ERP systems; Execute end-to-end business processes; Perform operational workflows. |
| What can AI not do? |
Execute actions; Automate processes; Interact synchronously; Understand what should be done next. |
MCP is required to expose data and services to language models. However, its existence alone does not make it a complete and unified product. |
Integration via structured data is used for simple searches, chatbots, generating recommendations, and content. In this case, AI processes the data but cannot interact with the system. For example, it can only search through the data and list products.
With MCP integration, AI becomes an intelligent agent that performs various actions on its own. MCP refers to a protocol that is compatible with any model and any service.
The AI agent searches for products, checks their availability, compares delivery times, prepares orders, and initiates checkout. For AI assistants to operate efficiently, the following integrations are required:
- with e-commerce platforms;
- with PIM, ERP, and CRM systems;
- with payment systems (PayPal, Stripe, Klarna).
The technologies and integrations listed above are essential for AI agents to operate successfully.
Use a custom AI agent to boost productivity and grow your online store!