The promise of personalisation in commerce has existed for two decades. The ability to deliver it at scale — genuinely 1:1 personalisation for every customer, on every channel, at every moment — has existed for approximately 24 months. And the revenue impact is documented with remarkable consistency across multiple research sources.

McKinsey reports that fast-growing companies generate 40% more revenue from personalisation than slower-growing peers. Companies using AI personalisation achieve up to 15% revenue uplift. (Source: McKinsey, AI Personalisation Report, 2025) For enterprise commerce operations serving hundreds of thousands or millions of customers, these percentage points represent hundreds of millions in attributable revenue.

Why Personalisation at Scale Was Impossible Until Now

Traditional commerce personalisation required one of two compromises: breadth without depth (rule-based personalisation that segments customers into groups and applies the same treatment to all members of a segment) or depth without breadth (genuine 1:1 relationship management limited to the customers that human relationship managers could maintain).

AI changes this equation completely. AI personalisation models process every customer’s individual transaction history, browsing behaviour, service interaction record, and contextual signals simultaneously — generating genuinely unique recommendations, pricing, and outreach for each customer, at machine speed, across every channel. This is not segmentation. It is true 1:1 personalisation at unlimited scale.

By 2028, organisations that leverage multi-agent AI for 80% of customer-facing processes will dominate as AI handles routine transactions while humans focus on complex interactions. (Source: Gartner, October 2025) The personalisation layer is central to this dominance.

Personalisation in B2B Commerce

In B2B enterprise commerce, personalisation carries additional complexity and additional commercial value. A B2B customer’s buying experience should be personalised not just to their individual preferences but to their account terms, their organisation’s procurement policies, their contract pricing, and their role-specific permissions.

The B2B buyer who can log into your commerce portal and immediately see: their contract-specific pricing applied to real-time inventory; their organisation’s preferred suppliers and approved product categories highlighted; their previous orders and reorder patterns surfaced intelligently; and personalised product recommendations based on their role and their organisation’s use patterns — that buyer has a commerce experience that makes switching to a competitor genuinely costly.

Novitates Cloud Commerce’s B2B personalisation layer delivers exactly this capability: account-level personalisation that combines individual user preferences with organisational contract terms and procurement policies.

The Agentic Personalisation Frontier

As agentic commerce AI agents begin acting on behalf of customers, personalisation evolves in a new direction: personalisation for agents. An AI procurement agent has programmed preferences — budget constraints, quality thresholds, sustainability criteria, delivery requirements. The commerce enterprises that can expose their personalisation capabilities via API — allowing agents to receive personalised product recommendations, pricing, and availability information programmatically — will capture disproportionate agent-mediated share.

McKinsey identifies the emergence of an “agentic AI mesh” — a software architecture designed to coordinate agent memory, orchestration, and governance at scale. (Source: McKinsey, October 2025) In commerce terms, this means personalisation infrastructure that serves not just human buyers but AI agents with defined preferences and constraints — a new frontier for commerce personalisation that Novitates Cloud Commerce is designed to support.

Measuring and Attributing Personalisation Value

Novitates’ Personalisation ROI Framework helps commerce leaders measure and attribute the revenue impact of AI personalisation investments — establishing clear causality between personalisation improvements and revenue outcomes, and providing the business case for continued investment. Book a personalisation strategy session at novitatestech.com/contact-us.