AI workflows for e-commerce

AI workflows for e-commerce: products, SEO, posts and customer replies

Online stores are a strong first use case: products, descriptions, inventory questions, campaigns, social posts and support repeat every week.

Workflow plan

What must be clear before building the right workflow.

Workflow for product descriptions, SEO titles and social posts.

FAQs and reply templates for orders, shipping and returns.

A later integration plan for WooCommerce, ERP or helpdesk once value is proven.

Productivity evidence

Support is one of the best documented AI use cases, while for e-commerce the first value can also come from product content.

National Bank of Greece reports that strategic AI adoption among Greek SMEs remains low, at about 6%, compared with roughly 8% across Europe.

25.4%

SEV Business Pulse reports that about 1 in 4 businesses have some exposure to AI, mainly at an early or pilot stage.

78%

The European Commission reports that Greek citizens believe digitalisation of public and private services makes daily life easier.

14%

In a study of more than 5,000 customer support agents, access to a generative AI assistant increased productivity by nearly 14% on average.

Time spent on descriptions, posts, repeated tickets, delayed answers and manual customer updates.

We start from real products and existing policies, create templates and add integrations after the process works.