Kawasaki Engines USA Grows B2B Ecommerce AOV by 500%

How Kawasaki Engines USA Achieved a 500% Increase in B2B Ecommerce AOV

In the competitive world of industrial manufacturing, growing B2B ecommerce sales requires more than simply listing products online. It demands a strategic, technology-driven approach that connects data, streamlines the buyer experience, and leverages artificial intelligence to anticipate customer needs. Kawasaki Engines USA has done exactly that — and the results speak for themselves. Over the past decade, the manufacturer has grown its B2B ecommerce average order value (AOV) by an extraordinary 500%, a milestone that offers a powerful blueprint for other manufacturers looking to modernize their digital sales channels.

Who Is Kawasaki Engines USA?

Kawasaki Engines USA is the manufacturing arm behind a diverse and high-performance portfolio of products. From powering motorcycles and jet skis to supporting robotics systems and aerospace applications, the company operates across some of the most demanding industries in the world. This complexity means its B2B ecommerce platform must serve a wide range of customers — dealers, distributors, and industrial buyers — each with unique purchasing needs, product configurations, and order volumes.

Managing that complexity at scale is no small task. For years, like many manufacturers of its size, Kawasaki Engines USA relied on legacy systems that stored data in disconnected silos. That fragmentation made it difficult to deliver a seamless, intelligent buying experience. Solving that foundational challenge became the first critical step in their ecommerce transformation.

The Starting Point: Unifying Data from Legacy Systems

Anthony Gondick, Senior Manager of IT Business Strategy at Kawasaki Engines USA, shared the company's journey at Salesforce Connections 2026 in Chicago during a session titled "Drive Manufacturing Growth with AI-Powered B2B Commerce." According to Gondick, the transformation began not with flashy new features, but with the unglamorous but essential work of data unification.

Legacy ERP systems, CRM platforms, and product catalogs were all operating independently, creating inconsistent product data, pricing discrepancies, and friction throughout the ordering process. Before Kawasaki Engines USA could deploy intelligent tools like AI-driven recommendations or personalized pricing, it needed a single source of truth across its entire digital infrastructure.

By consolidating data into a unified commerce platform — built on Salesforce — the company created the foundation necessary to power smarter, faster, and more personalized B2B buying experiences. This data unification phase was not an overnight project; it represented years of deliberate investment in digital infrastructure that would eventually enable exponential growth in ecommerce performance.

Leveraging AI to Enhance the B2B Buying Experience

With clean, connected data in place, Kawasaki Engines USA was positioned to layer in artificial intelligence in meaningful ways. AI in B2B commerce is not just about chatbots or automated emails — it's about using machine learning and predictive analytics to help buyers find the right products faster, purchase in larger quantities, and return more frequently.

Gondick outlined several key areas where AI has made a measurable impact on the company's ecommerce outcomes:

Intelligent product recommendations: AI algorithms analyze purchase history, browsing behavior, and product compatibility to surface relevant upsell and cross-sell opportunities at the right moment in the buying journey. For industrial buyers who may not always know every compatible part or accessory they need, this guidance is both time-saving and revenue-generating.
Personalized pricing and catalog experiences: B2B buyers expect tailored experiences that reflect their contract terms, purchase volumes, and account history. AI enables Kawasaki Engines USA to dynamically present personalized catalogs and pricing tiers, reducing friction and increasing the likelihood of larger orders.
Smarter search and navigation: AI-powered search helps buyers quickly locate the exact parts or engines they need, even when using imprecise or industry-specific terminology. Reducing the time it takes to find a product directly correlates with higher conversion rates and larger basket sizes.
Proactive customer engagement: AI tools help identify accounts that may be at risk of churn or that have untapped purchasing potential, allowing the sales team to intervene with targeted outreach before revenue is lost.

The Results: 500% AOV Growth and Beyond

The cumulative impact of data unification and AI-powered commerce has been transformative for Kawasaki Engines USA. A 500% increase in B2B ecommerce AOV is a remarkable achievement by any standard, but what makes it particularly significant is that it reflects a systemic improvement in how customers engage with the platform — not just a temporary promotional spike.

Higher AOV indicates that buyers are finding more value in each session, discovering additional products they need, and trusting the platform enough to commit to larger purchases. This kind of deep buyer engagement is the hallmark of a truly mature B2B ecommerce experience, and it has a compounding effect on overall revenue growth.

Beyond AOV, Kawasaki Engines USA has also seen measurable gains in customer adoption of its ecommerce channel. Shifting buyers away from phone and email ordering toward self-service digital purchasing reduces operational costs, accelerates order processing, and frees up sales representatives to focus on higher-value relationship-building activities.

Key Lessons for B2B Manufacturers Pursuing Ecommerce Growth

The Kawasaki Engines USA story carries important lessons for any manufacturer looking to compete and grow in the digital sales landscape. Several themes emerge clearly from their experience:

Data is the foundation, not an afterthought. Investing in data unification before deploying advanced tools like AI ensures that those tools actually deliver results rather than compounding existing data problems.
AI works best when it solves real buyer friction. The most impactful AI applications at Kawasaki Engines USA were those directly tied to helping buyers find products faster, order more efficiently, and feel confident in their purchases.
Incremental, long-term investment outperforms short-term fixes. A decade of deliberate digital investment — not a single platform launch — is what produced a 500% AOV increase. Manufacturers should plan for transformation as an ongoing journey, not a one-time project.
Platform selection matters. Building on a purpose-built B2B commerce platform like Salesforce Commerce Cloud gave Kawasaki Engines USA the scalability and AI capability needed to grow without being constrained by technology limitations.

The Future of AI-Powered B2B Commerce in Manufacturing

As AI technology continues to mature, manufacturers like Kawasaki Engines USA are positioned to push their ecommerce capabilities even further. Emerging applications — including generative AI for product content, autonomous reordering systems, and predictive inventory management — promise to make the B2B buying experience even more seamless and efficient in the years ahead.

The competitive pressure on manufacturers to deliver consumer-grade digital experiences to their business customers is only going to intensify. Buyers increasingly expect the same speed, personalization, and convenience in their professional purchasing that they experience as consumers. Manufacturers that invest now in data infrastructure and AI-powered commerce will be far better positioned to meet those expectations — and to capture a larger share of digital revenue.

Kawasaki Engines USA's 500% AOV growth is not just an impressive statistic. It is a proof of concept for what is possible when a manufacturer commits to a long-term digital transformation strategy grounded in clean data and intelligent technology. For the broader manufacturing sector, it serves as both an inspiration and a roadmap.