Unilever Achieves 90-Second Order Processing with AI Efficiency

Unilever has successfully implemented an advanced AI-driven order processing system, NOVA, which has significantly reduced the time required for order processing to just 90 seconds. This development is crucial as it enhances operational efficiency and customer satisfaction for a company that serves approximately 300,000 direct customers, including major supermarket chains and local distributors. By automating 95% of orders in pilot markets, Unilever has not only expedited order fulfillment but also improved the speed of refund claims and reduced new customer onboarding time by 90%.

The NOVA system employs five AI agents built on Microsoft Foundry. Four of these agents analyze incoming emails, extract order details, and prepare them for entry into Unilever’s SAP system, while a fifth agent conducts a final check. This design allows Unilever to accommodate the diverse formats in which customers submit orders, thereby minimizing the need for customers to adapt to the company’s technology. This flexibility is particularly beneficial for retailers managing multiple suppliers, as it streamlines the ordering process and reduces friction.

Unilever's initiative reflects a broader trend among consumer goods companies embracing AI to enhance operational efficiency. Nestlé is also leveraging AI agents, specifically for managing overdue invoices, which indicates a growing reliance on automation in the accounts receivable sector. According to a recent PYMNTS Intelligence report, the average company now automates 73% of its accounts receivable processes, a notable increase from 55% the previous year. This trend suggests that companies are increasingly recognizing the value of AI in managing financial workflows, although integration challenges remain a significant barrier for many CFOs.

Unilever's expansion of the NOVA system to over 50 markets, with North America as the next target, signals its commitment to leveraging technology to navigate rising input costs. The company anticipates approximately €900 million in commodity inflation for 2026, a revision from an earlier estimate of €850 million. In response, Unilever is focusing on productivity initiatives across its profit and loss statements rather than relying solely on price increases to manage margins. This strategic pivot underscores the importance of operational efficiency in maintaining profitability amid rising costs.

As Unilever and its competitors continue to integrate AI into their operations, the competitive landscape is likely to shift. Companies that successfully implement these technologies may gain a significant advantage in speed and efficiency, positioning themselves as leaders in customer service. The expectation among CFOs is that AI will deliver high-impact results, especially when it can coordinate workflows across various systems, including enterprise resource planning and treasury platforms.

Looking ahead, the successful deployment of NOVA may encourage other companies in the consumer goods sector to adopt similar AI-driven solutions. This could lead to a more standardized approach to order processing and financial management across the industry. As automation becomes increasingly prevalent, businesses that fail to adapt may find themselves at a competitive disadvantage, underscoring the need for strategic investment in technology to enhance operational resilience and customer engagement.