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US Foods Says AI Is Generating $75 Million in Benefits, Slows Sales Hiring as Productivity Rises

Why This Matters to Distributors: US Foods is reporting measurable financial results from artificial intelligence rather than simply outlining potential applications. Its AI tools are helping sales representatives identify additional customer purchases, improve sales productivity, and reduce administrative work. The company is also adjusting its hiring plans as a result, illustrating how AI investments can change distributor sales operations without necessarily reducing existing staffing levels.

US Foods Holding Corp. says artificial intelligence is generating more than $75 million in annual financial benefits across its sales, supply chain, and corporate operations, prompting the foodservice distributor to slow planned sales force hiring as productivity improves.

The company expects the annual contribution from AI to exceed $110 million in 2027, an increase of at least $35 million, as it expands automated sales recommendations, customer service tools, and other technology across its operations.

CEO Dave Flitman outlined the results during the company’s Nov. 5 third-quarter earnings call, saying AI applications introduced over the past two years are producing measurable improvements in sales and operating performance.

US Foods is also lowering its annual sales force hiring growth target from a mid-single-digit rate to a low-single-digit rate. The company expects AI and other digital tools to help existing representatives handle more business without adding employees as quickly as previously planned.

The revised target does not represent an announced reduction in the existing sales force.

The company said the largest share of its AI-related financial benefits comes from additional sales and improved profit margins, rather than lower operating expenses.

US Foods has expanded Visit Assistant Insights, an AI-powered application that analyzes customer purchasing histories and menus to identify additional sales opportunities.

The technology helps sales representatives identify products customers previously purchased but have stopped ordering. It also recommends products that restaurants and other foodservice customers have not bought from US Foods.

The company generated more than 2.5 million customer-specific sales insights during the third quarter, up from approximately 700,000 in the second quarter.

Flitman said accounts supported by those recommendations are recording case sales growth 10% faster than accounts without them.

The company did not disclose the underlying growth rates, the number of accounts involved or how much of the difference could be attributed directly to AI.

The increase in recommendations reflects a broader deployment of the technology across the sales organization. US Foods is using purchasing data to help representatives identify additional business with existing customers rather than relying solely on traditional sales calls and manual account reviews.

The initiative is part of a larger effort to use technology to improve sales productivity and increase the number of products customers purchase.

The distributor also recently introduced Scout AI, an assistant integrated into its MOXē digital platform and customer relationship management system.

Scout combines US Foods’ proprietary AI models with large language models to help representatives retrieve information, resolve customer issues, and complete administrative tasks.

The company is developing the assistant to move beyond answering questions and begin taking actions on behalf of employees.

The goal is to reduce the time representatives spend researching information and handling routine work, allowing them to concentrate on customers and new business.

Flitman said Scout and Visit Assistant are becoming part of the tools sales representatives use throughout their workday.

US Foods has not disclosed how many employees are using Scout or quantified the financial contribution of the application separately from its other AI investments.

The company has also introduced AI-powered search, automated ordering tools, and digital prospecting capabilities over the past several years.

Together, those applications are intended to improve customer service and allow representatives to handle more business.

The clearest operational consequence of US Foods’ AI investments is its decision to reduce the planned rate of sales force hiring.

The company previously expected sales representative headcount to increase at a mid-single-digit annual rate. It now expects low-single-digit growth as technology improves the productivity of existing employees.

During the earnings call, analysts questioned whether US Foods could maintain its sales growth targets while adding fewer representatives.

Flitman attributed the decision to a combination of AI applications, digital sales capabilities, and changes to the company’s sales compensation program.

He said the company has spent years developing its digital platform and is now seeing the benefits of integrating AI into the tools representatives use.

The company is also transitioning sales representatives to a commission-based compensation structure intended to reward additional sales.

Flitman said the combination of technology and compensation changes is improving sales effectiveness and supporting the decision to reduce planned hiring growth.

US Foods has not disclosed how much of the productivity improvement comes specifically from AI compared with its other sales initiatives.

Chief financial officer Dirk Locascio provided further details when analysts asked how the company’s AI-related financial benefits were divided among sales growth, profit improvements, and cost savings.

Locascio said the largest contribution comes from additional sales and improved margins. Productivity improvements account for a smaller share.

The distinction is significant because US Foods is not primarily describing AI as a labor-reduction program.

Instead, the company is using the technology to identify additional customer purchases, improve product recommendations and make sales employees more effective.

Locascio also said the AI benefits are separate from US Foods’ strategic vendor management program, which focuses on improving purchasing terms and supplier relationships.

The company expects future AI gains to come from both higher sales and more efficient operations.

Management also described a shift from deploying individual AI applications toward redesigning broader business processes around the technology.

That approach could extend AI beyond individual sales tasks into more comprehensive changes in how US Foods manages customer orders, purchasing and internal operations.

The company has not provided a detailed financial breakdown of its AI investments or disclosed the total cost of developing and deploying the applications.

US Foods is also expanding tests of inventory-scanning robots in its distribution network.

Flitman said the company began evaluating the technology at one location and is adding several more pilot sites.

The robots can count inventory within 24 hours at a cost that management compared with employing one person, he said.

The company is separately evaluating warehouse automation following work at its Aurora facility. Flitman said those operations have stabilized and that US Foods is applying lessons from Aurora to an expansion project in Texas.

US Foods did not provide a companywide deployment schedule or disclose the financial contribution from the inventory-scanning robots.

The warehouse projects are part of the company’s broader automation strategy, although management did not identify the robots’ financial benefits as part of its reported AI contribution.

US Foods reported third-quarter sales of $10.4 billion, up 2.1% from a year earlier. Net income increased 42.5% to $218 million from $153 million.

Total case volume increased by 1.3%, including a 5% increase among independent restaurants, a 3.3% increase in health care and a 3.7% increase in hospitality. Chain restaurant volume declined 1.5%.

The company reported $555 million in adjusted earnings before interest, taxes, depreciation, and amortization, up 9.9% from $505 million a year earlier.

The $75 million annual AI contribution is included in the company’s broader operating performance measure. It is not a separately reported increase in net income or cash savings.

US Foods also narrowed its full-year sales growth forecast to 4% to 5%, compared with its previous outlook of 4% to 6%, citing a more challenging operating environment.

The distributor serves approximately 250,000 customer locations through more than 70 broadline distribution facilities and more than 90 cash-and-carry stores.

US Foods is moving from individual AI applications toward redesigning business processes around the technology.

Locascio said the company sees additional opportunities to improve how employees perform tasks across sales, supply chain, and corporate operations.

The next phase could place greater emphasis on productivity improvements as US Foods gains experience with large language models and identifies additional processes suitable for automation.

The company’s immediate financial returns, however, remain concentrated in sales growth and improved margins.

That approach differs from AI strategies focused primarily on reducing labor costs. US Foods is using technology to increase customer purchases while slowing the rate at which it adds sales representatives.

The company expects its AI-related annual financial contribution to exceed $110 million in 2027, although it has not disclosed how much additional spending will be required to achieve that target.

For distributors evaluating similar investments, US Foods offers measurable operating results: more than 2.5 million AI-generated customer recommendations in one quarter, faster case sales growth among accounts receiving those recommendations and a lower sales force hiring target.

The next test will be whether those gains continue as the company expands AI into more complex business processes and warehouse operations.

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