French eCommerce totals €196.4 billion in 2025 (+7% year-over-year). On paper that looks healthy. Yet in B2B growth is stuck: +4% in 2025, unchanged from 2024 and 2023, while B2C accelerates (products +6%, services +11.6%).
If you’re a founder or CTO/CIO at an SME or mid-market B2B company, the question isn’t “should we go digital?” (spoiler: you already are). The real question is: how do you reclaim the growth points slipping away as customers become more demanding, compare faster, and expect immediate answers?
The Opportunity for SMEs
The striking paradox: 82% of B2B merchants already use generative AI (ChatGPT, Gemini, Copilot). AI is no longer a project — it’s a diffuse, everyday tool. And that diffusion is precisely where ROI is hiding.
Concretely, you can convert this "desk AI" into an industrialized commercial pipeline with three pragmatic levers:
- Audit AI usage (and real ROI): who is using what, for which cases (quotes, emails, product sheets, support…), and how much time/errors is it actually saving. Identify the quick wins and cut the gimmicks.
- Automate workflows (n8n / Make): a lead arrives → automated qualification → route to the right salesperson → follow-up sequence → opportunity created → pre-filled quote. Less friction, faster cycles, and crucially fewer forgotten leads.
- Specialized AI agents (RAG on your product/pricing/docs): a customer asks a technical question, requests an equivalence, or wants a product recommendation — the agent answers using your data, not a generic response. The result: higher conversion and cleaner carts (fewer back-and-forths).
Business goal: recover 2–3 percentage points of growth by streamlining prospecting, qualification, and conversion. Where B2C wins through continuous optimization, B2B wins through orchestration.
Risks to Watch
Being stuck at +4% often isn’t a market problem — it’s an execution problem hidden behind the sheen of “modern” tools.
- Vendor lock-in and data exposure: using ChatGPT/Gemini "as-is" without contractual guardrails or internal rules risks leaking sensitive information (catalog, discounts, terms, prospect data).
- Invisible complexity & technical debt: 10 un-orchestrated AI tools = 10 mini-processes. That creates a false sense of productivity until nobody can reproduce, measure, secure, or scale the flows.
- Economic uncertainty: when B2B customers hesitate to spend, your competitive edge is responsiveness — faster answers, cleaner quotes, tighter follow-up. AI must serve that operational edge, not just look impressive.
Compliance Considerations
Yes — even in B2B you process personal data: contacts, purchase histories, behavioral signals, commercial exchanges. If those data flow to non-EU providers via generative AI tools, GDPR / local data protection laws (nLPD) immediately become a governance topic.
- GDPR / nLPD: verify legal bases, cross‑border transfers, and safeguards (contract clauses, configuration, anonymization). An audit and, where applicable, a DPIA are recommended.
- AI Act: generative models are often classified as "limited risk," but once you introduce scoring or automated prospecting, plan a compliance audit — frameworks are expected from 2026 depending on use.
- EU / sovereign options: reduce dependency on non‑EU providers by using models like Mistral and/or hosting in Europe (e.g., Scaleway, OVHcloud, Exoscale, Hidora, or an appropriately configured EU region).
Conclusion & Cohesium Support
In 2025 B2B eCommerce isn’t short of tools — it’s short of governance. The companies that will regain growth aren’t the ones that "try AI," they’re the ones that put it into production inside their sales and execution processes.
Rather than patching solutions together, Cohesium AI helps with a hands‑on, enterprise‑grade approach: AI audit & strategy (governance, ROI, risk), targeted workflow automation (n8n) across your B2B pipeline, GDPR/nLPD compliance audits with recommendations for EU/sovereign alternatives, and—if needed—custom development of an AI agent (RAG) connected to your product and commercial data. If you want to accelerate growth without adding technical debt, let’s discuss a custom integration or a strategic audit.