Turnkey AI automation for Amazon and Allegro sellers

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.

Your AI team 6 AI agents · full-time · 24/7
Agent 1
Listings & buy box
Agent 2
Prices & promos
Agent 3
Research
Agent 4
Stock & supply
Agent 5
Ads & PPC
Agent 6
Reviews & messages

Start with the role that hurts most. Add agents when the value is obvious.

The main tracks we work in

Track 1 · AI agents inside your processes

Routine goes to the agents and decisions stay with people — inside the rules and limits you set.

Data sources

Seller Central
Keepa
Helium 10
Amazon Ads
YSELL
Prep center

SellerUp AI agents

Listings & buy box Suppressed alerts, listing changes
Prices & promos Price and promo monitoring — yours and competitors’
Research Niches, competitors, keywords
Stock & supply Inventory, reorder points, out-of-stock risk
Ads & PPC Campaigns, bids, spend anomalies
Reviews & messages Auto-collection, reply drafts, escalations

Who gets the reports

Seller Central admin Listing and price alerts
Owner Unified dashboard and reports
Marketing manager Reviews, messages, content

Track 2 · Custom development

Internal platforms, integrations and dashboards built for how you actually work. One source of truth instead of seven scattered spreadsheets.

/01

Internal systems

Platforms unifying stock, orders, suppliers, and resource planning in one place.

/02

Integrations

Connectors for Amazon, Allegro, Kaufland, and other platforms, plus ERP, spreadsheets, and delivery services.

/03

Dashboards

Operational and financial dashboards: sales, margin, ads, stock — in real time.

/04

Server-side pipelines

Scheduled data collection and processing: marketplace reports, competitor prices, delivery statuses.

Track 3 · Analytics and unit economics

Each layer builds on the previous one: from scattered exports to decisions made on numbers that reconcile with your accounting.

Stage 01

Data aggregation

Connectors to marketplaces and services: sales, ads, fees, logistics — into one database.

Stage 02

Unit economics

Profitability down to SKU level, factoring fees, ads, logistics, and returns.

Stage 03

Dashboards

Operational and management dashboards built for your decisions — not “charts for charts’ sake”.

Stage 04

Regular reporting

Automated reports to email or messenger: daily, weekly, monthly.

Ways to work with us

A solution sized to your business.

From a single process to a new operating model.

Targeted task

One specific automation — custom analytics and dashboards, for instance

from $1,000

Discuss the task

Working loop

A custom CRM with AI agents covering a set of tasks

$3,000–7,000

Start the loop

AI-native transformation

Several working loops plus team training — a six-month-plus format

from $7,000

quoted after an audit

Discuss the transformation

Founder

How this differs from other agencies

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.

  • 14 years in e-commerce, since 2012
  • 50+ people in the teams I ran
  • 2 products of my own: FOKS and SellerUp
  • From online stores for small specialist companies to setting up, launching and growing large national DIY-format retail operators.
  • Online stores built from zero — first version through to a working sales channel.
  • Ran e-commerce teams of 50+ people, working in the segment full time.
  • Omnichannel integrations, and retail and e-commerce work for large national and European brands.
  • Co-founder of the SaaS product FOKS (foks.biz).
  • Founder of the SellerUp agency.
  • Specialisation: marketplaces — Amazon above all — and e-commerce as a whole.
Vladislav Mykhailenko
Vladislav Mykhailenko Founder SellerUp · Co-founder SaaS foks.biz

My channels on AI and automation

FAQ: AI automation, custom development and analytics

Is this one service or three?

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.

Is this a subscription to your product?

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.

Why not an off-the-shelf SaaS?

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.

What do you actually build?

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.

What can an agent actually take over?

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.

How autonomous are the agents?

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.

How do the agents connect to our systems?

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.

Why does an agent poll on a schedule instead of watching live?

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.

Isn’t the analytics track what Sellerboard or Helium 10 already does?

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.

Which marketplaces do you work with?

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.

Can it work with the tools we already have?

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.

Who owns the code and the data, and where does it live?

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.

Who maintains the system after launch?

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.

How long does it take to launch?

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.

What does it cost?

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.

Request

Tell us what you’d automate, build, or finally measure.

A short brief is enough. We reply within one business day with a clear yes/no and next steps.

  • Reply within 1 business day
  • Honest go / no-go answer
  • No “boilerplate proposal”

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