Sell more. Type less.
Margins are thin and the manual work is everywhere: listings, stock, support tickets, follow-ups. We automate the repetitive layer so your team works on range, pricing, and growth instead.
What we keep hearing
If any of these sound familiar, they are exactly the problems this practice was built around.
Product data lives everywhere
The e-shop, the marketplaces, the ERP and a dozen spreadsheets all disagree. Every new product means re-typing the same data five times.
Support drowns in the same questions
"Where is my order?", returns, sizing: the same twenty questions consume hours daily, and customers expect answers at 23:00.
Ordering by gut feeling
Stockouts on the products that sell, capital locked in the ones that don't. Forecasting happens in someone's head.
Follow-ups fall through
Abandoned carts, restock alerts, win-back emails: everyone knows they pay off, nobody has time to run them consistently.
The right tech, per problem
Not one tool for everything. Each problem gets the technology that actually solves it. Nothing more.
One catalog, synced everywhere
A data pipeline connects your ERP, e-shop, and marketplaces into a single source of truth. LLMs enrich raw supplier data into clean titles, descriptions, and attributes, in Greek and English, reviewed before publishing.
A support assistant that knows your store
A chatbot trained on your policies, product data, and live order status. It resolves the repetitive majority (order tracking, returns, sizing) and hands the rest to a human with full context.
Forecasting on your real sales data
Demand models on your sales history, seasonality, and promotions produce reorder proposals your buyer approves. Not a black box, a second opinion with numbers.
An agent on your team
Think of an ops agent that watches your store all day: it monitors orders and stock across channels, spots anomalies (a listing that stopped selling, a delivery SLA slipping, a price mismatch between channels) and acts: drafts the supplier reorder, flags the courier issue, proposes the price fix.
07:00 · reconciles yesterday's orders across channels. 09:30 · notices bestseller stock will run out in 6 days at current velocity, drafts a reorder for approval. 14:00 · detects a marketplace listing rejected over a missing attribute, fixes and resubmits it. 18:00 · sends the team a one-page summary of the day.
Every agent runs with defined permissions, full action logs, and human approval on anything consequential.
Ready to automate the busywork in your store?
A free discovery call: we map your highest-value opportunity and tell you honestly whether it's worth building.