The bustling tech community in Lagos converged at a stakeholders event to explore how artificial intelligence (AI) is reshaping enterprise resource planning (ERP) systems—especially when it comes to transforming sales operations. Tunde Ogunyankinnu, an SAP Solutions Expert known for his work in artificial intelligence and machine learning applications, delivered a passionate keynote that got everyone talking about the future of sales and technology.

“Integrating AI into ERP systems—especially within the sales domain—presents both immense opportunities and significant hurdles,” Ogunyankinnu shared with an audience of industry experts, technology enthusiasts, and corporate stakeholders. “While AI promises automation, enhanced decision-making, and improved customer satisfaction, the path to successful integration is riddled with data quality challenges, legacy system complexities, and the need for robust governance frameworks.”

He spoke candidly about the importance of getting data right. “Data quality is paramount,” he emphasized. “Inaccurate or inconsistent data can derail even the most advanced AI models, leading to flawed sales forecasts and operational inefficiencies. Organizations must implement strong data governance frameworks and leverage predictive analytics to overcome these barriers.”

From his years in the field, Ogunyankinnu shared some real-world successes that have already reshaped how companies approach sales. “Predictive analytics empowers organizations to analyze historical data, uncover patterns, and make proactive decisions,” he said, his tone reflecting both expertise and enthusiasm. “In the SAP HANA environment, this means more precise demand planning and better inventory management—both critical in today’s fast-paced markets.”

One of his favorite examples came from a major retail company that integrated AI-driven analytics into its SAP ERP system. “They achieved a 30% reduction in order processing time,” he recounted, clearly proud of the outcome. “By automating repetitive tasks and improving inventory accuracy, they not only boosted operational efficiency but also saved significantly on costs. It’s a powerful reminder that AI integration isn’t just a theory—it’s a real-world driver of business transformation.”

Of course, he didn’t shy away from addressing the elephant in the room: legacy systems. “Legacy infrastructures often lack the flexibility required for modern AI applications,” he admitted. “Organizations have to be willing to invest in system upgrades and ensure that data governance aligns seamlessly across both old and new platforms. It’s crucial for minimizing risks and building a sustainable AI-ERP ecosystem.”

Looking ahead, Ogunyankinnu was optimistic about where AI is headed. “We’re on the brink of an era where generative AI and advanced machine learning models will automate even more complex tasks, enhance sales forecasting, and personalize customer experiences at an unprecedented scale,” he said, his eyes lighting up. “Companies that embrace these technologies and build bridges between IT and business teams will really stand out in the market.”

He wrapped up with a reminder that measuring success is just as important as achieving it. “Metrics like sales order accuracy, process cycle time, and customer satisfaction are essential for assessing how well AI is working,” he said. “With the right KPIs and a commitment to data-driven decision-making, organizations can unlock the full potential of AI in ERP systems.”

As the event came to a close, Ogunyankinnu’s words resonated with many in the room. “AI is not a silver bullet,” he reminded everyone. “But with strategic implementation, it holds the key to transforming how businesses operate, compete, and thrive in the digital age.”