Scale the store, not the support team.
Online retail lives and dies on response time, reviews and a steady stream of content. We build AI agents that read the order context, resolve the repetitive tickets and keep your channels full, so your team stops firefighting and gets back to growth. The result is faster replies, higher review volume and a content calendar that no longer slips when sales hit.
Online retail · D2C · Marketplaces
Volume scales faster than your team can.
Support buckles at peak
Order status, returns and where-is-my-package questions swamp the inbox, and queues blow up over sales and holidays. Each one is quick to answer but the sheer count is what burns your team out, and response times slip exactly when customers are most likely to buy.
Reviews go unanswered
Ratings shape conversion, but replying to every review across Google, Trustpilot and the marketplaces never makes the top of the list. Unanswered reviews, good or bad, signal that nobody is paying attention, and the negative ones keep ranking for new shoppers to read.
Content never keeps up
Product launches and promotions need copy for every channel, and the calendar slips the moment things get busy. Listings go live with thin descriptions, email and social fall behind, and the catalogue you worked hard to build is underselling itself.
The work that scales with orders, automated.
Resolve the support queue
An agent reads each ticket, looks up the order in your shop and helpdesk and sends an on-brand reply or processes the return, in any language. It handles the repetitive 70 to 80 percent end to end and escalates the genuinely tricky cases to a human with the full context attached.
See the solutionReply to every review
It monitors your review platforms, drafts a fitting response that matches your tone and posts it after your approval. Positive reviews get a warm thank-you and unhappy ones get a measured, on-brand reply that protects your rating instead of leaving it to fester.
See the solutionKeep content flowing
One brief becomes channel-ready posts and product copy for email, social and the storefront. It works from your existing voice and product data, so launches ship with full descriptions and your calendar stays full even in the busiest weeks.
See the solutionBook and recover slots
For appointment-led retail, it books fittings or consults over chat and fills cancellations from the waitlist automatically. Customers self-serve a time that works, reminders cut no-shows, and empty slots get backfilled without anyone picking up the phone.
See the solution
Live in weeks, not quarters.
- 01
DiscoveryWeek 1
We map your workflow on your real data and pick the highest-ROI use case to ship first.
- 02
DesignWeek 1–2
We design the agent around your tools and guardrails, and prove it on a working prototype.
- 03
BuildWeek 2–4
We build it as real engineering: integrated, tested, with logging and human escalation.
- 04
Launch & ownOngoing
We deploy into your stack, hand over the code and docs, and tune it live with your team.
Frequently asked questions
How is this different from the chatbot our webshop platform already has?
A Shopify or WooCommerce chatbot mostly matches keywords to canned answers and hands off the rest to your team. Our agents read the actual ticket, look up the live order, and take action, drafting a reply, processing the return or updating the customer, in their language. The difference is resolution: it closes tickets rather than collecting them.
Will it answer in the wrong tone or get an order detail wrong?
It is trained on your real macros, past tickets and brand voice, and it reads order data directly from your shop and helpdesk rather than guessing. For the first weeks it runs in draft or approval mode so your team sees every reply before it goes out, then you widen its autonomy as trust builds. Anything it is unsure about is escalated to a human with full context instead of being answered badly.
How long until something is live?
A focused first use case, usually the support queue, is typically live in 2 to 4 weeks. We start with a scoped pilot on your highest-volume ticket types, prove the resolution rate on real conversations, then expand to reviews and content. You see working output on your own data early rather than waiting months for a big-bang launch.
What does a typical project cost?
Most stores start with one use case in the low thousands of euros to build, plus a monthly fee that covers hosting, model usage and ongoing tuning. The economics are simple to check: weigh the cost against the support hours, agent seats and lost reviews it replaces. We size the first project so it pays for itself well before peak season.
How do you handle our customer data and GDPR?
We process data on EU infrastructure, sign a data-processing agreement, and only connect the systems a given use case actually needs. Customer data is used to answer the ticket in front of it, not to train shared public models. You keep full control over retention and access, and we document exactly what flows where.
Do we own what you build?
Yes. The prompts, workflows, integrations and configuration we build for you are yours, and we document them so you are never locked in. If you ever part ways with us, you keep the system and the knowledge of how it works. We would rather earn the renewal than trap you in it.
What happens at Black Friday or a sales spike?
That is exactly where this earns its keep. The agent scales to thousands of simultaneous conversations without a hiring scramble or a blown SLA, and it keeps response times flat while volume triples. Your human team is freed up for the high-value and edge cases that genuinely need them.
Put AI to work in your store.
See what AI clears from your support queue and content backlog, in a free 30-minute call.