For the third year in a row, Rootstock Software has claimed the Gold Stevie® Award for Best Cloud ERP, a hat trick that solidifies its reputation as one of the most agile and forward-thinking players in the manufacturing ERP space. Built natively on the Salesforce platform, Rootstock’s cloud-native solution stands out for its fusion of AI, automation, and timely innovations like Tariff Management Central.
“Winning Gold three years in a row is a tremendous honor—and a reflection of our team’s relentless innovation and focus on customer success,” said Rick Berger, CEO of Rootstock Software. “This Gold Stevie Award is also a tribute to the results our customers have achieved,” added Berger.
At the heart of Rootstock’s platform is what it calls the “Signal Chain”—a connected framework across demand, supply, and production capacity. It’s a digital nervous system for manufacturers, enabling them to forecast demand, simulate sourcing changes, and fine-tune production with speed and clarity. In an era of trade tension, supply chain disruption, and economic whiplash, that kind of intelligence isn’t just nice to have—it’s survival gear.
Award judges and industry analysts alike praised Rootstock for its rapid release cycles, tight customer feedback loops, and embedded AI. “Rootstock’s financial and transactional enhancements equip finance and operations teams with precise tools to optimize decision-making in complex manufacturing environments,” one judge noted.
With global manufacturing on track to reach $16.6 trillion in 2025 (World Bank and Statista data) and digital transformation spend expected to top $3.4 trillion by 2026 (International Data Corporation), companies are under pressure to modernize fast. Rootstock’s momentum suggests it’s not just keeping up—it’s helping lead the charge.
Modernization is no longer optional: The triple Gold win underscores a broader shift: legacy ERP systems are increasingly seen as liabilities. Rootstock’s continued recognition reflects a market shift towards AI-native, cloud-first architectures that minimize technical debt and accelerate deployment timelines. That said, the prevailing direction isn’t necessarily full cloud migration for everyone. The most forward-looking organizations are adopting situationally adaptive hybrid models—balancing public cloud, private cloud, and on-prem infrastructure to meet performance, regulatory, and business continuity needs. ERP leaders still managing fully on-prem or heavily customized systems should reevaluate whether their architectures can support dynamic forecasting, scenario planning, or intelligent automation—all of which are quickly becoming essential capabilities.
AI: from hype to business muscle: Rootstock’s customers are translating AI from buzzword to bottom-line results—specifically through predictive AI used in forecasting and inventory simulation. These capabilities power intelligent workflows that support real-time decision-making across production and supply chain functions. In a world where businesses must respond within hours—not weeks—this form of operational AI is becoming the backbone of agility. According to a Rootstock customer case study shared in 2025, a mid-market electronics manufacturer achieved a 40% reduction in demand planning time and a 15% boost in on-time delivery by leveraging Rootstock’s predictive AI tools to flag sourcing risks before they triggered delays.
Velocity is the new differentiator: Rootstock’s focus on customer success isn’t just anecdotal; it’s operationalized. The company has built an ERP solution that allows manufacturers to pivot rapidly in response to tariffs, labor fluctuations, or global disruptions. For ERP decision-makers, the lesson is clear: speed, adaptability, and user empowerment are today’s true differentiators. Rootstock’s modular, cloud-native design enables faster implementation and continuous configuration—qualities that leading manufacturers now consider essential to staying competitive in a volatile market. Companies embracing this kind of composable, business-led approach are seeing measurable gains in deployment speed and cost efficiency—not in theory, but in practice.
