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Most B2B AI platforms automate the easy decision and stop there. See the four-quadrant Decision Model, why confidence alone is not enough, and what changes when a platform solves all four.
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Known for email orders and quotes? That’s a fraction of what an autonomous execution layer can run. See why any channel and any request type need to unify into one flow.
Børsen, Denmark’s leading business daily, has featured how Danfoss is using Go Autonomous to cut B2B customer interaction time by approximately 90%, from about nine minutes to roughly one minute. The article highlights Autonomous Commerce as a paradigm shift for industrial B2B operations.
Columbus and Go Autonomous have entered a strategic partnership to bring AI-driven Autonomous Commerce to B2B operations. The collaboration integrates Go Autonomous’ execution platform into Columbus’ commerce and ERP ecosystem, enabling clients to make order handling, inquiries, and support fully autonomous.
Most B2B manufacturers and distributors are investing in automation when they need autonomous execution. This post explains the architectural difference — and why it determines whether your operations can scale.
Most B2B order management software makes your existing process faster. Manufacturers and distributors at scale need something different — a system that executes orders without a human in the loop. Here is what that looks like in 2026.
Friction debt is the accumulated operational cost created by manual touchpoints and process workarounds in B2B commercial workflows. This post defines the concept, shows how manufacturers and distributors build it up, and explains what it takes to pay it off through autonomous execution.
Agentic Commerce changes where customers place orders. Autonomous Commerce changes how enterprises execute them. For B2B manufacturers and distributors, only one of them solves the underlying operational constraint — and understanding the difference determines where to invest first.