Zainab Hussain is a seasoned e-commerce strategist who specializes in turning complex operational hurdles into streamlined customer experiences. With years of experience managing customer engagement and operational workflows, she has watched the manufacturing sector struggle to leave behind the “pen and paper” era of legacy logistics. Today, she joins us to discuss the radical transformation of Kawasaki Engines USA, a brand synonymous with high-performance engines for everything from motorcycles to aerospace robotics. This conversation explores how moving from fragmented legacy systems to a unified AI-powered platform can drive massive growth, including a staggering 500% increase in average order value. We dive into the technical patience required to wait for software maturity and the critical importance of reducing friction for thousands of B2B dealers who rely on seamless digital interactions to maintain their own profitability.
The move from fragmented legacy systems to a unified cloud platform often unearths deep-seated data issues that had been ignored for years. How did this initial lack of centralization impact business processes before the digital overhaul?
Before the shift began in earnest around 2019, data was scattered across various divisions, creating a chaotic environment where vital information lived in silos. This lack of centralization meant there was no real way to properly maintain or administer customer details, leading to a landscape filled with human error and “unusable” data that couldn’t support modern business processes. It was more than just a technical headache; it was a barrier to service because there was no unified way to gather essential customer information across motorcycles, jet skis, and aerospace divisions. The manual effort required to piece together this disjointed information was immense, often resulting in “junk” data that failed to provide the insights needed for a 21st-century sales strategy. By the time they fully embraced the Manufacturing Cloud, the team realized that clearing out this “scattered” legacy data was the only way to finally enable accurate demand and forecast planning.
Redesigning a B2B portal is often seen as a cosmetic upgrade, yet Kawasaki saw its average order value skyrocket by 500% shortly after. What specific shifts in buyer behavior or system functionality drove such a massive spike in revenue?
Following the portal redesign that was completed in November 2025, the company didn’t just see a slight uptick; they experienced a 5x increase in average order value. This wasn’t just about a prettier interface; the new system allowed customers to order more frequently and, more importantly, in significantly larger quantities than ever before. By moving from clunky, manual interactions to a platform that supports real-time data exchange, the platform gave buyers the confidence to commit to larger transactions without the fear of inventory errors. The emotional relief of having an intuitive, streamlined entry and payment process meant that dealers could focus on their own business growth rather than fighting with a frustrating ordering system. It proved that when you make the buying process easier, customers naturally gravitate toward larger, more comprehensive orders.
Integration is frequently the “make or break” moment for manufacturing digital transformations, particularly when connecting to an ERP. Why was it necessary to delay the commerce rollout initially, and what did that waiting period allow the team to accomplish?
Back in 2020, the team realized that the B2B technology available at the time simply wasn’t mature enough to bridge the gap with their existing ERP and system of record. Instead of forcing a broken solution that would have led to more friction, they stepped back and provided specific recommendations to their technology partners about what a manufacturer actually needed to succeed. This period of strategic patience was vital, allowing the technology to catch up to their vision of a fully integrated “commerce transformation” which finally took place between 2024 and 2025. During those years, they transitioned from “disjointed” systems into a unified platform that could handle the heavy lifting of real-time visibility. Waiting allowed them to move past simple file exchanges and adopt advanced tools like Agentforce AI Pilots, ensuring the backend was truly ready for the demands of a global scale.
With 40 different global divisions and thousands of dealers, the logistics of data exchange can be a nightmare. How did the shift away from manual CSV files toward automated tools like MuleSoft change the day-to-day operations for the various OEMs?
For a long time, the company faced a difficult choice: they could either stick with archaic, manual CSV file exchanges or embrace a 24/7 automated solution to move data around. By implementing tools like MuleSoft, Heroku, and Salesforce Flow, they were finally able to tap into the diverse EDI systems used by various OEMs with incredible ease. This transition reduced human error significantly and moved the business away from slow, batch-oriented processing toward high-visibility, near-real-time data flows. For the senior managers involved, this meant seeing the pulse of the business in the moment, rather than waiting for yesterday’s data to be manually processed and cleaned. This automation didn’t just save time; it fundamentally changed how the company interacts with its global divisions, making the entire supply chain more responsive and less prone to the delays of the past.
B2B relationships are built on trust, and any delay in a manufacturer’s system directly affects a dealer’s bottom line. In what ways did the new portal specifically target “friction” to ensure these partners stayed profitable?
The core driving factor behind the redesign was the realization that any pain or delay caused to the 7,700 B2B dealership customers across the U.S. was a direct hit to their revenue streams and profit margins. To combat this, the team focused heavily on streamlining order entry and simplifying the payment systems to make the environment as intuitive as possible for those who aren’t technical experts. When a dealer can trust the environment they are operating in, the friction of the transaction disappears, and they can provide better service to their own end-users. By removing these roadblocks, Kawasaki ensured that their dealers—who serve as the backbone of the brand’s retail presence—remained fast and efficient in a competitive market. It was a win-win scenario: reducing the effort required to place an order directly translated into a more loyal and profitable dealer network.
What is your forecast for the role of AI in B2B manufacturing commerce over the next few years?
We are entering an era where AI pilots will move from being experimental novelties to essential tools for predictive demand forecasting and personalized customer interaction. As manufacturers continue to unify their data, AI will be able to predict customer needs before the dealer even realizes they are low on stock, potentially pushing AOVs even higher than the 500% growth we’ve already observed. The future of manufacturing isn’t just about making high-quality engines; it’s about using intelligent, real-time data to create a seamless ecosystem where technology handles the heavy lifting of logistics and planning. Companies that fail to transition away from disjointed legacy systems right now will find it nearly impossible to compete with the speed and precision of an AI-powered supply chain in the coming decade.
