Intershop just published a report that advances a bold — and realistic — thesis: by 2026 product discovery in B2B won't be driven by a filter-based search bar but by generative AI that understands intent, context, and operational constraints, and serves the right selection directly. Add agents that can execute purchases (almost) autonomously, and B2B e‑commerce starts to look less like a website and more like a purchasing co‑pilot.
This matters for industrial SMEs, distributors, wholesalers and CIOs/CTOs who manage complex catalogs, recurring customers, contractual pricing and buying cycles that are often procedural rather than glamorous.
The Opportunity for SMEs
1) Large-scale operational delegation. The report highlights digital assistants “everywhere.” Business impact: fewer hours wasted on repetitive e‑commerce tasks (templated email replies, follow-ups, reporting, request qualification) and more time on margin-generating work: assortment strategy, pricing, negotiation and premium service. In some organizations, this lets you manage multiple countries/sites without proportionally increasing headcount.
2) Product discovery that converts better (with less friction). Where a classic search engine forces the buyer to “speak catalog,” generative AI lets them “speak the business”: “I need a part compatible with X, delivered by Friday, equivalent to Y.” Expected outcomes: fewer cart abandonments, fewer inbound calls, and higher average order value through relevant alternatives and upsells.
3) Faster multi‑market expansion. Multilingual AI agents lower market entry costs: content adaptation, sales assistance, first‑line support. For an SME, that’s a lever to test a country without building a full local team on day one.
4) Your data becomes a monetizable asset. Intershop underscores the role of data lakes: personalized recommendations, predictive maintenance, high‑margin services built on transactional history. In short: you stop selling only products; you sell usage value.
Where to Be Careful
The sharp warning: Gartner estimates that over 40% of agentic AI projects could be abandoned by the end of 2027. Why? An autonomous agent is not a toy: it needs a clear scope, rock‑solid business rules, clean data and measurable ROI. Without those, the agent generates noise—and the bill keeps arriving.
Three common risks to anticipate:
- Unclear ROI / fad-driven initiatives: “We want agents” is not a business case.
- Integration complexity: without well-structured product and customer reference data, AI amplifies inconsistencies.
- Vendor lock‑in: a platform and its ecosystem can accelerate results—but also reduce future flexibility and margins.
Compliance Considerations
Once you personalize and profile users (purchase history, behavior, preferences), you’re processing customer data. For SMEs operating in the EU/CH, you must address:
- Consent and transparency around profiling (GDPR / nLPD depending on your jurisdiction).
- Data residency and hosting and data flows (e.g., AWS Zurich, Exoscale, OVHcloud, Infomaniak depending on requirements and strategy).
- Automated decisions: if an agent “decides” (placing orders, substituting products, setting terms), you need traceability and guardrails. In the EU, the AI Act can require specific documentation depending on the use case.
Conclusion & Cohesium Support
Yes — generative AI will transform product discovery. Yes — agentic commerce can automate parts of the back office and unlock new markets. But the difference between a margin accelerator and an abandoned project comes down to three pillars: ROI, data quality, and governance.
Instead of cobbling a solution together, Cohesium AI supports you with focused, enterprise‑grade services:
- AI Strategy Audit: prioritized use cases, rigorous business cases, and a realistic roadmap (ROI vs. hype).
- Compliance & Data: GDPR/nLPD/AI Act audits, architecture design, and hosting choices aligned with sovereignty and business constraints.
- Automation Audit: workflow optimization (n8n, Make, APIs) before deploying costly AI agents.
Contact us to discuss custom integration, strategic audits and how to turn generative AI into measurable business value.