We analyse the current commerce structure: technically, organizationally, economically - and evaluate which systems really fit your business model, regardless of the manufacturer.

With a focus on:

• Maturity level & system landscape

• Value chains & bottlenecks

• Concrete ROI levers

• Vendor lock-in risks & exit options

👉 Result: clear findings - without glossing over, but with an independent solution perspective.

We harmonize platforms, systems and data flows - relying on best-of-breed instead of vendor lock-in.

With a focus on:

• Omnichannel architecture (manufacturer-agnostic)

• API strategy for maximum flexibility

• Data basis for automation and AI

• Vendor-independent integrations

👉 Result: technical backbone for scalable growth.

In this phase, we don't think in visions - but in implementation paths.
We design the Target Operating Model (TOM): roles, processes, decision-making logic - and the AI capability that supports the whole thing.

Focus:

• Innovation roadmap (AI, robotics, automation)

• AI governance: prompt strategies, human-in-the-loop, use case fit

• Target operating model: teams, skills, tech, processes

• RACI clarity: Who bears responsibility? Who decides? Who needs context?

👉 Result: a manageable model for the future - in which AI works, but people decide.

We implement - together, iteratively, controllably.
With a focus on:

• Sprint control

• Stakeholder communication

• Go-live management

👉 Result: tangible progress instead of theoretical plans.

Commerce is not a project - it's a system with feedback.
That's why we build mechanisms to permanently anchor impact.

Focus:

• KPI tracking & business impact

• AI further development in the company

• TOM fine adjustment & scaling control

• Ongoing RACI reviews

• Lean Management & Kaizen: Improvement becomes a habit - not an exception.

👉 Result: not a flash in the pan - but scalable controllability with a built-in learning effect.