From digital maturity to intelligent & agentic commerce

B2B Ecommerce Compass 2026

B2B ecommerce faces mounting pressure in 2026. Digital channels are fully established, yet many B2B organizations still struggle with fragmented system landscapes, inconsistent data, and high manual effort. At the same time, B2B customers expect transparent pricing, reliable delivery timelines, and seamless buying and ordering processes across all channels.

The B2B Ecommerce Compass 2026 makes one thing clear: intelligent B2B commerce is built on digital maturity – and on a robust, scalable ecommerce foundation that enables automation, long-term growth, and agentic commerce.

Download the report to discover the six critical action areas companies must address now to build a resilient, high-performing B2B ecommerce business for the future.

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Sneak Peek

What to expect in the B2B Ecommerce Compass 2026

B2B ecommerce status quo 2026

A reality check that shows why having a digital presence is not the same as digital maturity – and where B2B companies will truly stand operationally in 2026.

Market developments in 2026 & structural drivers

Key market, buyer, and technology developments that will shape decision-making in B2B ecommerce in 2026 and require strategic action.

6 action areas for B2B commerce in 2026

Operating model, industry logic, hybrid buying, real-time data, embedded AI, and agentic commerce – as a clear framework for prioritization and execution.

Case studies from complex B2B environments

Selected case studies – including BlueAlly, Eagle Crusher, Beijer Ref, and more – highlight how migrations, integrations, and scaling initiatives delivered measurable results across key KPIs.

Concise checklists for each action area

Short, practical checklists show, for each action area, which fundamentals are required and where the concrete next steps lie.

Outlook for 2027 and beyond

An outlook for 2027 and beyond that shows how reliable data, integrated systems, and clearly defined rules enable the shift from digital automation to semi-autonomous, agentic-driven processes.