Case study: a B2B e-shop ready in weeks, not months
An illustrative example of how context gathering and AI execution shortened a wholesale e-shop build — without cutting quality.
The example below is illustrative and generalises the typical course of our projects. Specific figures depend on the scope and context of the brief.
A wholesale distributor of technical goods needed to replace an ageing ordering system with a modern B2B e-shop. The challenge was not nice templates but individual pricing for hundreds of partners, multi-step order approval, and integration with an existing ERP.
Context first, code second
We started on site with the client. We mapped how an order actually flows, who approves a purchase above a certain amount, and how individual price lists are calculated. That context became the foundation of the solution — rather than something we discovered during testing.
A step-oriented architecture
We built the solution on the ShopSys framework and Symfony, with logic split into clearly defined steps within UseCases and a focus on SOLID, DRY and KISS. AI helped produce the repetitive parts — data models, integration adapters, test scenarios — while the team concentrated on the business rules that required judgement.
- Individual price lists and discount tiers for partners.
- Multi-step order approval.
- Two-way ERP synchronisation over an API.
The result
Because the context was understood, we avoided the most expensive line item in any project — reworking a misread brief. The client received a working system in a matter of weeks rather than months, and maintenance stayed cheap because the architecture was clean and modular from the start.
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