I help companies bring e-commerce, physical channels, the offer, data and local execution into one growth model — before they invest in another platform, marketplace or country.
I don't implement technology for its own sake. First we establish where the business will create value, for whom, in which channel and on what terms.
Selected results
01 / Problem
Another sales channel, marketplace or market looks like a natural direction for growth. Often, though, it exposes problems that were not visible before.
The offer differs between channels. The online store competes with the physical network. Every country builds its own processes. Data does not add up to a single view of the customer. Costs grow faster than revenue.
At that point the company is scaling not only sales, but also exceptions, conflicts and manual work.
02 / Diagnosis
After deducting acquisition cost, discounts, payments, service, returns and logistics.
Based on market potential, offer fit, economics and organisational readiness — not just the size of the country.
What should stay common, and what must change in the offer, price, payments, communication and service?
Can customers move between the website, app, physical location, sales and service without starting everything again?
Technology, data, product availability, the decision process, customer service or the team's capabilities?
If the answer to three of these questions is “we don't know”, the problem is not the pace of expansion. The problem is readiness for it.
03 / How I help
I define the role of the channel, its offer, customers and economics. I connect decisions on range, pricing, conversion, acquisition, service and retention.
The result is not a list of shop features. It is a model showing where and how e-commerce should generate growth and margin.
I design the customer journey and the rules of cooperation between digital, sales, the physical network and service.
Among other things, we sort out pricing, promotions, lead and order handover, returns, product availability, ownership of the customer and how results are measured.
I assess market potential, offer fit, competition, barriers to entry and the company's readiness. I help choose the entry model: direct, partner, marketplace, franchise or hybrid.
The output is a sequence of actions, a business case and the conditions that must be met before the investment goes ahead.
I define the elements of the model that are not worth renegotiating in every market, and the areas that require local adaptation.
This covers the offer, communication, pricing, processes, technology, data, customer service and team accountability.
I translate business strategy into requirements for the platform, CRM, analytics, automation and technology partners.
I don't sell systems or start by choosing a tool. I help define what the company needs, what it already has and where technology genuinely limits scaling.
04 / How I work
01Readiness diagnosis
I analyse the economics, offer, channels, customers, data, technology, processes and organisational capabilities.
02Strategic choices
We agree where the company should grow, in what order, and what it will consciously not pursue.
03Target model design
We define how channels operate, the operating model, the decision architecture and the split between the shared standard and local adaptations.
04Pilot
We test the model in one market, channel or part of the customer journey, and measure the result before full rollout.
05Scaling
We create a rollout plan, measures, owners and a playbook for taking the proven model further.
AI / Scale layer
AI can accelerate expansion, but only once it has a clearly defined process, the right data and a business owner.
Practical applications include:
I assess every use case by its impact on revenue, cost, time or customer experience. If the data is not ready, that is exactly where we start.
AI connected to chaos scales chaos.
05 / Project outcome
Depending on the scope, you receive:
I don't leave the company with a presentation about possibilities. I leave it with choices, a model and a plan for execution.
06 / Ways of working
Recommended starting point
2–3 weeks
For a company considering a new channel, platform or market that wants to check whether its assumptions are strong enough.
OutcomeDiagnosis, the key barriers, a business case, a “go / no-go / fix this first” recommendation and a plan for the next steps.
02
For a company with a specific problem: low conversion, channel conflict, an inconsistent customer journey or a model that needs rebuilding before further growth.
OutcomeA designed solution, a pilot, measures and a ready rollout plan.
03
For a board preparing to enter new markets, launch further channels or unify a model already operating in several countries.
I can work as an adviser to the board, as programme lead, or temporarily take responsibility for a chosen area of the transformation.
Case study · Retail chain · four markets in Central and Eastern Europe
Outcome+45%year-on-year online sales growth
07 / Who it is for
I am not a software house or an e-commerce agency. I can define the model, prepare requirements, help choose partners and lead the implementation on the business side.
Not as a technology contractor. I design the business model, requirements, customer journey and the way the organisation works. I can then help choose a technology partner and lead the implementation on the company's side.
No. The safest approach is to start with a market or channel that allows you to validate the key assumptions quickly. Only a proven model is worth repeating.
I combine demand potential with competition, the economics of entry, offer fit and organisational readiness. A large market is not always the best first market.
You need to design a shared customer journey, rules for attributing sales, responsibility for service and measures of the shared commercial outcome. Simply connecting systems does not create omnichannel.
Yes. My role is to bring partners together around one business goal, define requirements and make sure technology and marketing support the agreed model.
I usually start with sales, margin, acquisition costs, conversion, customer behaviour, returns, availability, retention and operating costs. Missing some data does not block the diagnosis — it is important information in itself.
Wherever it saves time, lowers cost, improves decisions or the customer experience. I don't start with the question “where can we use AI?”, but with the business problem, data quality and a measurable effect.
If you are considering a new platform, channel, marketplace or market, let's first establish what has to be true for that investment to deliver growth.
