US Foods Achieves Productivity Boost and Delivery Efficiency with AI

US Foods has made significant strides in leveraging artificial intelligence (AI) to enhance operational efficiency and sales performance. The company, which serves approximately 250,000 customer locations and reported $39.4 billion in sales for fiscal 2025, has introduced several AI-driven tools that aim to optimize seller productivity and delivery logistics. This strategic shift is crucial as it positions US Foods to better compete in a challenging market where efficiency and customer engagement are paramount.

One of the key innovations is the Automated Order Guide, which has saved sellers over 32,000 hours in its initial six months of deployment. This tool streamlines the proposal process by analyzing customer menus and generating product recommendations, significantly reducing onboarding time from three to four hours to just 20 to 30 minutes. CEO Dave Flitman emphasized that by automating routine tasks, sellers can focus on acquiring new customers and increasing sales to existing ones. Although US Foods has not quantified the exact impact of this tool on sales growth, the company has noted a rise in lines sold per customer, suggesting that AI is contributing to enhanced seller performance.

In addition to the Automated Order Guide, US Foods has developed the Visit Assistant Insights tool, which produced over 700,000 sales prompts within the first six weeks of its launch. This tool analyzes customer data to prioritize accounts and suggests topics for sales visits. While the company has not disclosed how many of these prompts resulted in actual sales, the focus on recurring revenue from existing customers is a strategic advantage. The increasing reliance on generative AI to drive revenue is reflected in a recent survey where 56.7% of CFOs indicated that they now evaluate AI returns based on revenue per customer, a significant increase from earlier assessments.

Another notable development is the implementation of Descartes routing software, which has improved the efficiency of deliveries by increasing cases delivered per mile by 2% from the previous year. This enhancement is part of a broader strategy to utilize AI for demand forecasting and labor planning, which Flitman claims is leading to improved service levels and productivity while reducing working capital needs. The company has also reported a 3% increase in cart conversion rates through AI-driven search capabilities on its MOXe ordering platform.

The competitive landscape for large enterprises is evolving as companies increasingly adopt AI technologies. A recent survey indicated that a significant majority of senior technology executives believe that generative AI tools have exceeded expectations in enhancing competitive positioning. However, the path to full payback remains lengthy, with many executives anticipating a five to six-year timeline for complete return on investment. This reflects a broader trend in the industry where companies are investing heavily in AI without plans to reduce overall spending.

Looking ahead, US Foods' ongoing investment in AI signals a commitment to transforming its operational model and enhancing customer engagement. As the company continues to refine its AI tools and measure their impact on sales and productivity, it may set new benchmarks for efficiency in the food distribution sector. The strategic use of AI not only positions US Foods to capture greater market share but also highlights the importance of data-driven decision-making in driving future growth. Competitors will need to respond to this shift, either by enhancing their own AI capabilities or by finding alternative strategies to maintain their market positions.