Seven types of AI agents, each targeting a specific e-commerce workflow
All agents are custom-built per client. We don't deploy templates — your product catalogue, customer base, and support patterns shape how each agent is configured. Integrations depend on your platform and existing tools.
AI customer support agents
Handles the category of queries that account for most of an e-commerce support team's inbound volume: order status, shipping questions, return and exchange requests, product information, and standard FAQs.
The agent is trained on your product catalogue, return policy, and historical ticket data. It understands context — so a customer asking "where is it?" after mentioning their order number gets a specific answer, not a generic one.
Escalation logic is configurable. Complaints, complex issues, and anything the agent can't answer with high confidence are routed to your team, with context attached so they don't have to ask the customer to repeat themselves.
Automated product recommendation systems
Product recommendation engines that surface relevant items based on a combination of signals: current browsing session, purchase history, inventory status, and product relationships you define.
Unlike generic recommendation plugins, these systems can be configured to reflect your merchandising logic — for example, prioritising certain brands, avoiding recommending items from the same category as one the customer just bought, or weighting towards higher-margin products.
Deployable as a sidebar widget, post-purchase module, abandoned cart email component, or all three.
Order tracking & post-purchase workflows
Automated shipping notifications, delivery confirmations, and post-purchase follow-up sequences — triggered by order status changes in your platform, not by a timer.
This removes a significant portion of inbound "where is my order?" queries before they happen. Customers receive accurate status updates at the right moments rather than having to actively check.
Post-purchase sequences can include delivery confirmation, review requests (timed based on estimated delivery), and follow-up for returns — all handled without manual intervention from your team.
Abandoned cart recovery agents
Recovery sequences triggered when a cart is abandoned — with personalisation based on what's in the cart, the customer's purchase history, and configurable timing logic.
The difference from a basic email reminder is context. The agent can reference specific items, factor in whether the customer has bought from you before, and adjust the message accordingly. Timing, channel, and content are all configurable per your existing email or on-site tooling.
Upsell & cross-sell automation
Identifies upsell and cross-sell opportunities at checkout and post-purchase, based on actual purchase data rather than generic product associations.
Configured to respect your margins and inventory constraints — you define which products to promote, at what price points, and in which contexts. Not an automated "people also bought" widget, but a system that reflects deliberate merchandising decisions.
E-commerce AI consulting
A structured assessment of where AI automation makes practical sense for your specific operation. Not a generic AI strategy presentation — a workflow-level review of what's currently taking your team's time and what's actually automatable.
We document current processes, identify high-volume repetitive tasks, map them to automation options, and produce a prioritised recommendation. The output is a written report you can use to make decisions, whether you work with us or not.
Agent integration & ongoing maintenance
After launch, agents need monitoring and occasional updates — especially when your product catalogue changes, your return policy updates, or your platform receives a major update.
Monthly maintenance retainers cover monitoring, performance review, content updates, and priority support. Retainers start from €350/month and are cancellable with 30-day written notice.
Pricing shown is indicative. Final pricing depends on integration complexity, your existing tech stack, and project scope. All projects begin with a free discovery call. We do not guarantee specific performance outcomes from AI implementation.
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