What does AI bring for Swiss SMEs?
AI-based applications offer Swiss SMEs enormous potential: Through the intelligent use of data, processes along the entire value chain can be optimized — from inbound logistics to customer service.
It’s not just about potential. It’s about survival. Falling automation costs enable competitors to cut prices exponentially. Those who don’t automate today lose margins tomorrow, and orders the day after.
Along the value chain.
AI experts see great potential particularly in production, logistics, sales, and procurement. Depending on the depth of value creation, the specific applications differ — but in every area implementation is possible today, even without new machinery.
AI in Swiss production.
Many manufacturing SMEs are unaware of the data assets they possess — and how AI can make them usable. At every step of industrial value creation, concrete improvements can be achieved today without having to replace the existing infrastructure.
Generative Design
AI develops hundreds of design variants in minutes. You define parameters — material, dimensions, weight — and receive optimized designs. Shorter development cycles, lower material costs.
Digital assistants
Intelligent systems learn from your most experienced specialists and pass on this knowledge — to new employees, in shift operation, in rare special cases. Knowledge stays in the company.
Intelligent Logistics
Real-time orders and cancellations. Optimized transport routes. More reliable delivery dates at lower costs — without manual planning and without empty runs.
Resource Efficiency
Systems often consume more energy than necessary. AI systems monitor consumption in real time and optimize automatically — lower costs, less CO₂, higher margin.
No SME automates alone.
Individual SMEs rarely have the necessary data, technologies and competencies to implement AI-based business models on their own. Cooperation in value creation networks provides the foundation — shared data, shared knowledge, shared infrastructure.
That is exactly the principle of the Swiss Business International Association: together building AI-ready structures — concrete, implementable, without rebuilding everything.
What works — what doesn’t.
Correct
- ✓ Transparent structure with a clear value proposition for all stakeholders
- ✓ Clear data strategy: quality, relevance, and availability of data
- ✓ Strategic collaborations for developing in-house AI competencies in the company
- ✓ Agile rollout — identify hurdles early and adapt the model
False
- ✕ Outsource AI competencies completely without continuous knowledge transfer
- ✕ Collecting data without clear criteria or defined benefit
- ✕ Rigid scheduling without adjustment options
- ✕ Holding on to classic business models while the market changes