In short: EBROTECH assesses the platform, version, extensions, permissions and consent before confirming a connection. The assistant can answer approved questions from authorised data and prepare cart, post-purchase or review follow-up; a person reviews and sends emails.
01
AI for ecommerce: 24/7 support that scales without growing a support team
An online store generates questions around the clock, and most of them are the same handful: where is my order, can I return this, does it come in another size, when will it restock. Answering those by hand does not scale, and slow replies cost sales. AI for ecommerce is, at its core, a support agent that handles that volume instantly, in your brand's voice, pulling the real answer from your store and order data. It deflects the routine questions and hands the genuinely tricky ones to a human with full context. You get faster replies and happier customers without growing a support team in step with your traffic.
02
AI agents for online stores vs a basic chatbot: what the AI employee actually does
A basic ecommerce chatbot reads from a list of canned answers and gives up the moment a customer asks something real. An AI agent connects to your store: it knows this customer's order is out for delivery, that the item they want is low on stock, and that they bought trainers last month so the new laces are a sensible suggestion. It can check an order, start a return, recommend a product and escalate a complaint, all with context. That is the difference between a widget that frustrates customers and an agent that actually closes the loop and, quietly, sells more.
03
Connecting Shopify, WooCommerce or BigCommerce to the AI layer
We assess the platform, version, extensions, plan and permissions before proposing a connection. Controlled tests confirm which order, product, stock or customer fields can be read or written. If there is no safe maintained route, the diagnosis records the limitation and compares a controlled export with other options.
04
Recovering abandoned carts and turning buyers into regulars
A store can test follow-up for an abandoned cart and post-purchase support when the event, consent and permitted data are clear. The system prepares emails for a person to review and send. Review invitations use one eligibility rule, and any effect on repeat purchase is measured from the store's baseline.
05
Claude Code, ChatGPT and the tech under the store
We build your ecommerce automations with Claude Code from Anthropic, which keeps a bespoke system affordable instead of enterprise-priced. ChatGPT from OpenAI is useful on the content side, drafting product descriptions, summarising reviews, writing email copy, always with a human checking it. The distinction matters: ChatGPT is a content assistant for your team, while the support and recovery agents are connected to your store data and talk to customers in real time. You do not need to understand the plumbing; you need it to answer questions and recover sales, and it does.
06
AI for ecommerce: return on investment measured in recovered orders and support hours
The business case is measured from the store's own baseline: eligible carts, delivered follow-ups, support requests handled, accepted resolutions, errors and staff time. Attribution rules are agreed before the pilot so a later order is not automatically credited to the system, and no payback period is promised.
What we build and how we check it
Hours
call coverage configured for each line and service
Your software
stays the source of truth, with no forced migration
Measurement
goal and baseline defined before work starts
Control
human handoff and limits agreed for each task
Scope, baseline and metrics are agreed for each project.
Real use cases
Agreed baseline and target
AI support within agreed coverage
The support agent handles the recurring questions (order status, returns, sizing, restocks) instantly in your brand voice, pulling answers from your store data. The setup is validated in discovery and measured against an agreed baseline.
Agreed baseline and target
Abandoned cart recovery
Carts that get abandoned trigger a timely, helpful follow-up that addresses the real hesitation rather than just throwing a discount. The setup is validated in discovery and measured against an agreed baseline.
Higher repeat-purchase rate
Post-purchase follow-up
After a verified delivery event, the system can prepare support, a uniform review invitation and an optional product suggestion under the store's rules. A person reviews and sends emails; repeat purchase is an outcome to measure, not a promise.
Agreed recommendation and error measures
Product recommendations in chat
When a customer asks for help, the assistant can suggest products from authorised catalogue data and approved rules. Availability, suitability and errors are tested; any effect on order value is measured rather than promised.
Agreed baseline and target
Review collection
Review invitations use the same criteria for every eligible customer; private feedback and issue handling run separately. Invitation, delivery and response are measured without promising rating, ranking or conversion.
Faster resolution, fewer escalations
Returns and order triage
The system can gather the order reference and prepare the correct return step from approved policy. A person handles approval and exceptions; the pilot measures response and error rates without promising full automation.
Connection validation
We assess AI on top of your current software
We check the connection, permissions and scope before deciding whether a layer is enough or any migration is needed.
Yes. Shopify and BigCommerce have excellent APIs, so the AI layer connects directly to orders, products and stock. WooCommerce connects through its REST API or a small plugin. You do not replatform or rebuild your store, the AI sits on top of what you already run.
Will the support agent answer in my brand's voice?
Yes. We tune the tone, the policies (returns, shipping, restocks) and the escalation rules to your brand before going live. The agent answers like your best support person, consistently, around the clock.
How much of my support can it really handle on its own?
The genuinely tricky cases are handed to a human with full context, so nothing important slips through. The setup is validated in discovery and measured against an agreed baseline.
Is abandoned cart recovery just spam discounts?
No. The best-performing flows address the real hesitation (a sizing question, a shipping worry) with a helpful message, and only use a discount where it makes sense. The setup is validated in discovery and measured against an agreed baseline.
Is my customer and order data secure under GDPR?
Compliance depends on the roles, lawful basis, consent, suppliers, location, retention and safeguards in the agreed setup. Discovery maps the permitted events and fields, minimises access and records the agreements for the store and its adviser to review.
Is there a long contract?
Engagements are structured month to month. Commercial terms and any applicable guarantee are set out in the written proposal.
How long until it is live?
Tier 1 Bridge: ~7 days. Tier 2 Augment: ~14 days. Tier 3 Migrate: 3-4 weeks with full setup, flows and data migration.
Do I have to replatform or rebuild my store to use AI on it?
No. The AI layer connects to Shopify, WooCommerce or BigCommerce through their APIs and works on top of your existing store. Your product listings, theme, checkout and order management stay exactly as they are. Connection, permissions, migration needs and training are confirmed before implementation. The AI handles the customer-facing gaps (24/7 support, cart recovery, post-purchase flows) without touching your store setup.
How is this different from the basic chatbot my platform already offers?
A platform chatbot reads from a fixed FAQ list and fails the moment a customer asks something specific. An AI agent connects to your live order data, customer history and product catalogue, so it can tell a customer exactly where their parcel is, start a return, or suggest the right next product based on what they bought before. It has context and takes actions; a basic chatbot just returns pre-written answers.
Tell us about your case and we'll say if it fits
Start with the form. We review what is holding you back and, if it makes sense, arrange a short call afterwards to define what we would build.