There’s a big chance your issue isn’t traffic, but your conversion architecture
Your platform was built for the launch, not for scale. Catalogue updates take days, and your B2B buyers get a B2C checkout experience that doesn't understand their pricing, their approval chains, or their reorder patterns. Marketing wants to personalise but the tech stack can't segment fast enough. And every new market, currency, or channel means another round of custom development that takes months and breaks something else.
These aren't growing pains you optimise your way out of; they're architecture decisions that were made too early, or never made at all. You need a partner that can (re)build and run commerce platforms that are designed for the complexity they actually operate in, not the complexity they had at launch. A partner that starts with your commercial model and works back to the technology.
The full commerce stack, with no gaps between teams
E-commerce doesn't fail at the platform level. It fails in the seams: between strategy and build, between front-end and back-end, between launch and ongoing ops. Here’s how we cover all of that.
Strategy
E-Commerce assessment & roadmap
An evaluation of your current commerce maturity, benchmarked against your vertical, with a phased plan that connects commercial goals to platform decisions — not the other way around.
Architecture
Platform selection & architecture
Composable vs. monolithic, best-of-breed vs. suite, build vs. buy. We’ll run structured evaluations against your requirements, integration landscape, and total cost of ownership, helping you defend the decision internally.
Implementation
Platform build & customisation
Full-stack B2C and B2B implementation: catalogue, pricing, checkout, account management, custom extensions, and headless/composable enablement. Delivered in sprints against a fixed scope.
AI & automation
Agentic commerce & AI-Driven CX
MCP/A2A readiness, AI-powered personalisation, intelligent product recommendations, and agent-based customer experiences designed for teams that want to move beyond rules-based merchandising.
Search & discovery
Enterprise product search
Platform evaluation, relevance tuning, and AI-powered discovery. Because the search bar is where purchase intent usually dies.
Integration
Commerce ecosystem wiring
ERP, CRM, OMS, PIM, DAM, payments, logistics — connected through an API-first architecture so orders, inventory, and customer data flow without manual handoffs or nightly batch jobs.
Personalisation
Omnichannel personalisation & marketing automation
Cross-channel targeting, behavioural segmentation, and automated campaigns that react to what shoppers actually do vs. a static rule that assumes what they'll do.
Managed services
Operations, support & continuous evolution
SLA-based operations, 24/7 monitoring, platform takeover for teams switching partners, and continuous improvement will help your commerce platform get better with each iteration.
Commerce performance measured in revenue, not story points
We’re curious about the exact same things your CFO tracks: conversion rates, average order value, operational cost per order, and time to market for new channels.
30%
faster time-to-market for digital commerce capabilities
Driven by hybrid composable architecture—decoupling frontend, search, and integration layers from core commerce systems.
40%
average increase in conversion rate
Driven by UX optimization, performance improvements, and checkout flow simplification
The monolith vs. composable debate is the wrong starting point
Every commerce replatforming conversation eventually lands on the same question: should we go headless? The honest answer is that it depends — on your team's technical maturity, your integration complexity, your content velocity, and how often your business model changes.
We've built monoliths that outperformed composable stacks because the organisation wasn't ready for the operational overhead. And we've built composable architectures that unlocked growth a monolith never could. The architecture should follow the business case, not the hype cycle.
Composable & headless enablement
MACH-based architecture, microservices orchestration, API-first integration, and front-end decoupling, for organisations with the team maturity and pace of change that justify the added complexity.
Platform takeover & replatforming
Structured transition from your current partner or platform, including codebase audit, knowledge transfer, dependency mapping, and a stabilisation period before we start evolving.
Your commerce platform should be the fastest-moving part of your business, not the bottleneck
The most common complaint we hear isn't "our platform can't do X.", it's "everything takes too long." A new market takes six months, a pricing change breaks checkout, or a campaign landing page needs developer time. That slowness isn't a platform limitation, it's an architecture and operations problem.
Our aim is to build commerce environments where marketing can move without waiting for engineering, where new channels and markets are configuration (not projects) and where the platform team spends their time on innovation instead of maintenance. That's what good architecture actually buys you: speed as a default, not speed as a special request.
Understand the commercial model and the technical reality
Before we recommend a platform or write a line of code, we need to understand how your business actually makes money online, and where the current setup is getting in the way.
Commercial model mapping
A full picture of your channels, customer segments, pricing logic, fulfilment models, and growth plans. The right platform choice depends on where you're heading, not just where you are.
Current-state technical audit
An honest assessment of your existing platform, integrations, data flows, and deployment pipeline. What works stays; what's creating drag gets flagged.
Platform recommendation & architecture
If a platform decision is still open, you get a shortlist with a scored evaluation. If it's already made, you get the target architecture: composable vs. monolithic, integration patterns, and a build plan your technical team can validate.
Build the platform around the business, not the demo
Implementation is where most commerce projects go wrong. It’s usually not because the technology fails, but because the commercial logic gets lost in translation. We’ll make sure every sprint stays anchored to business outcomes.
Core platform build
Catalogue, pricing, checkout, account management, search, and content, all configured and customised for your business rules, not the platform's assumptions.
Integration & data architecture
ERP, OMS, PIM, DAM, CRM, payments, and logistics get wired through APIs with proper error handling, retry logic, and monitoring. No batch jobs where real-time matters.
Front-end & experience layer
It can be headless, hybrid, or template-based, but a customer-facing experience must be built for performance, accessibility, and the ability for your marketing team to make changes without filing a ticket.
Launch, learn, and keep getting faster
Go-live is a milestone, not a finish line. What follows: hypercare, full operational handover, and a long-term partnership that keeps the platform improving every quarter.
Staged rollout & performance validation
Launch happens in controlled phases — by market, channel, or customer segment — with performance benchmarks that prove the platform holds up under real load before full exposure.
Team training & operational handover
Role-specific training for merchandisers, content editors, developers, and ops teams. Full documentation; no tribal knowledge walking out the door.
Continuous improvement & managed ops
SLA-based support, proactive monitoring, quarterly business reviews, and a prioritised optimisation backlog driven by real commerce data.
Composable commerce: when it's worth it and when it's not
The composable vs. monolith debate generates more conference talks than clear answers. We've implemented both, and the deciding factors are almost never the ones the vendors emphasise.
The work speaks for itself
Every project here started with a conversation about a business problem, not a technology wishlist. Have a look at how we think, how we work, and what our clients walked away with.
Get in touch
We start by understanding your goals, then build a clear AI roadmap tailored to you—selecting the right tools, making your data work for you.
Alen Martinčević