liveBook · Manning

Business-to-business

As explained in The Art of AI Product Development

A business-to-business context is one in which products or services are provided by one business to another business.

Business-to-business (B2B) describes products or services provided by one business to another. Unlike a consumer product with one primary audience, a B2B product usually serves both the customer who approves the purchase and the end users who operate it. Their priorities can conflict: leaders may seek ROI and automation, while employees may worry about workflow disruption or job loss. section 12.3.6

Effective B2B product communication connects strategic value with practical, human concerns:

  • Address decision makers with demonstrations, ROI-focused webinars, cost reduction, productivity gains, and operational-efficiency outcomes. section 12.3.6 section 12.4
  • Address end users with empathetic explanations of daily workflow improvements, such as automating repetitive data aggregation while preserving higher-value work. section 12.3.6 section 12.4
  • Support adoption through tailored onboarding, ongoing education, pilots, phased rollouts, early wins, and feedback mechanisms. section 12.3.6 section 12.4
  • Build trust by explaining system behavior, limitations, error patterns, uncertainty, and user controls rather than presenting AI as infallible. section 12.4

A supply-chain platform

A supply-chain manager may respond to a claim that the platform reduces stockouts and operating costs. Regional planners need a different promise: automation removes repetitive aggregation work and leaves more time for inventory strategy. A pilot can demonstrate early value, gather feedback, and expose concerns before a broader rollout. section 12.3.6 section 12.3.6

Table 12.3 Communication with users and customers in B2B vs. B2C

Aspect

B2B

B2C

Target audience

Customers and users

Users

Onboarding and education

Tailored onboarding for customers and users; ongoing education (everboarding)

Quick-start tutorials, FAQs, in-app tips, and videos; minimal effort required

Communication channels

Demos, workshops, ROI-focused webinars, user training materials

Low-touch; in-app tutorials, automated support, discords, and community building

Adoption approach

Phased rollouts, starting with pilots to show early wins and gather feedback

Beta launches with early adopters; feedback-driven refinement before broader release

Compare B2B and B2C audiences, onboarding, communication channels, and adoption approaches in a single reference table. section 12.3.6

How The Art of AI Product Development covers it

How deep it goes
Distinguishes customers from end users and supplies communication and rollout practices, stopping short of implementation detail.
Examples
Uses a supply-chain platform, stockout reduction, regional planners, ROI webinars, workflow automation, pilots, and phased rollouts.
What it assumes
Assumes awareness of products and stakeholders while contrasting B2B customers and users with the simpler B2C audience model.
What you can do after
Evaluate B2B product communication by audience, strategic value, workflow impact, adoption plan, and trust requirements.
How it connects
Connects B2B with stakeholder management, user adoption, onboarding, ROI, operational efficiency, trust, and human-centered AI.

Also explained in

Compare how 2 books explain business-to-business →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.