United StatesFood and restaurants2026 – ongoingUS Foods
Automated Order Guide for sales proposals
US Foods saved over 32,000 hours of sales preparation with generative AI
Problem
Sellers manually reviewed menus, spreadsheets, and handwritten notes to prepare personalized proposals. Inputs included multiple languages.
Approach
US Foods built its Automated Order Guide using Claude on Amazon Bedrock for recommendations and Amazon Textract for document extraction. Sellers helped refine the application during a regional pilot. The company subsequently deployed it in production.
Results
Takeaway
US Foods combined document extraction with recommendations to reduce manual preparation across its sales team.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
AWS described a sales application that moved from pilot to production. It reported over 32,000 hours of manual work saved within 6 months. The page carries no date; the Internet Archive first saved it on May 8, 2026.
Full details are in the original sources.