Internal systems
Platforms unifying stock, orders, suppliers, and resource planning in one place.
One service with three tracks: AI agents run listings, prices, inventory and ads on rules you define; custom development gives you the platforms, integrations and dashboards your processes need; analytics pulls every platform into one data layer with unit economics down to SKU. Not “another tool”, but part of your process.
Start with the role that hurts most. Add agents when the value is obvious.
Routine goes to the agents and decisions stay with people — inside the rules and limits you set.
Data sources
SellerUp AI agents
Who gets the reports
Internal platforms, integrations and dashboards built for how you actually work. One source of truth instead of seven scattered spreadsheets.
Platforms unifying stock, orders, suppliers, and resource planning in one place.
Connectors for Amazon, Allegro, Kaufland, and other platforms, plus ERP, spreadsheets, and delivery services.
Operational and financial dashboards: sales, margin, ads, stock — in real time.
Scheduled data collection and processing: marketplace reports, competitor prices, delivery statuses.
Each layer builds on the previous one: from scattered exports to decisions made on numbers that reconcile with your accounting.
Connectors to marketplaces and services: sales, ads, fees, logistics — into one database.
Profitability down to SKU level, factoring fees, ads, logistics, and returns.
Operational and management dashboards built for your decisions — not “charts for charts’ sake”.
Automated reports to email or messenger: daily, weekly, monthly.
Ways to work with us
From a single process to a new operating model.
One specific automation — custom analytics and dashboards, for instance
from $1,000
Discuss the taskSeveral working loops plus team training — a six-month-plus format
from $7,000
quoted after an audit
Discuss the transformationFounder
Vladislav Mykhailenko · Founder SellerUp · Co-founder SaaS foks.biz
Since 2012 I have specialised in e-commerce and retail: we launched national-scale e-commerce divisions from zero. On top of that an engineering background — I co-founded a SaaS product. Now I want to teach you to build the same kind of thing with AI.
One. AI agents, custom development and analytics are three tracks of a single project rather than three separate contracts: they are quoted together and run by one team. You choose the scope — take one track or all three.
No — you are buying a build, not a licence. We design the system around your business, it runs on your infrastructure, and the code and data belong to you. There is no per-seat fee and no dependency on a SellerUp product staying alive. After launch you either keep us on support or take the system over with documentation and training.
Because ready-made tools cover roughly 70% of the task, and the remaining 30% is exactly what makes your business different. We build for that 30% and integrate the off-the-shelf part wherever it already works. If a subscription genuinely covers your process end to end, we will tell you to buy it — the side-by-side comparison on the services page sets out when each option wins.
Four kinds of thing, usually in combination. Internal platforms that unify stock, orders, suppliers and resource planning in one database. Connectors to Amazon, Allegro, Kaufland and other platforms, plus ERP, spreadsheets and delivery services. Operational and financial dashboards. And server-side pipelines that collect marketplace reports, competitor prices and delivery statuses on a schedule.
The repetitive parts of marketplace operations. In practice that means listing and buy-box monitoring, repricing on your own margin and competitor logic, stock control with reorder points and out-of-stock risk, daily ad checks with stop-rules for money-losing targets, and review requests with drafted replies. Anything that is a judgement call stays with your team.
Exactly as autonomous as you make them. Every agent runs between two poles you choose: “notify only”, where it watches and reports, and “act within limits”, where it changes prices, budgets or listings inside boundaries you define. Critical decisions can always stay with a person, and the limits are settings you can tighten at any point.
Through the marketplaces’ own documented APIs and the tools you already run. On Amazon that is the Selling Partner API; on Allegro the Allegro REST API. Agents reach your internal tools through the Model Context Protocol, which gives them scoped access rather than a blanket key.
Because marketplace APIs enforce rate limits. Amazon’s SP-API publishes usage plans that cap how often an application may call each endpoint, so an agent that hammered the API continuously would simply be throttled. We set polling frequency per task — prices and stock more often, settlement data less — so the important signals arrive early without burning your quota.
Those tools read one seller account well, on their own model of your costs. We aggregate Amazon, Allegro, Kaufland and your own cost data — landed cost, freight, warehousing, salaries — into one model.
The point is that unit economics are comparable across platforms and reconcile with your accounting, not with the marketplace’s view of it. If one of those tools already covers your whole picture, the comparison table on the services page shows where a subscription beats a custom build.
Amazon is the core, and Allegro is the second line, with a dedicated service track for the Polish market. Beyond those we build integrations for Kaufland, Castorama, Leroy Merlin, eMAG, Bol and other European platforms. If a platform publishes a usable API, an agent can read and write against it; if it does not, we will say so before you commit.
Yes, and that is usually cheaper than replacing them. We integrate what already earns its place — spreadsheets your team trusts, an ERP, delivery services, BI tools you hold licences for — and build only the part that is missing. Replacing a working tool for the sake of tidiness is not something we will bill you for.
You do, without qualification, and all of it runs on your infrastructure. The code, the database, the pipelines, the warehouse and the dashboards are your property — you are never renting access to your own numbers. That is also what makes a handover possible: nothing sits behind a SellerUp account we could switch off, so if you decide to take the system in-house, there is nothing to unpick.
Whichever you prefer, agreed before we start. Either we stay on support and keep the integrations current as marketplace APIs change, or we hand the system over to your team with documentation and training until they run it confidently without us. There is no arrangement where you are locked in because only we understand the code.
It starts with a strategy session or a process and data audit, which ends in a written plan you can execute with us or without us. A first working piece usually lands in weeks: one agent on one process, or the first connector with a dashboard for one platform — we ship that early on purpose.
A full build takes two to four months, depending on how many platforms, internal systems and cost sources are in scope, and how quickly your side can supply access.
Everything is quoted per project; there is no price list. The figure moves with how many processes and platforms are in scope, how many internal systems and cost sources have to be reached, how much of your process is genuinely bespoke, and whether we stay on support. Describe the task and we come back with a range within one business day, along with what we would build first.
If you are still weighing a custom build against a subscription, an agency or a hire, we put the four options side by side. Compare a custom build with SaaS, an agency and an in-house hire
Request
A short brief is enough. We reply within one business day with a clear yes/no and next steps.