AIworker AI drafts 10 food quotes in 130 seconds

AIworker's report focuses on a structural pain point in food manufacturing: quotes for standard commercial products, retailer private labels and OEM goods are each priced differently, and requests arrive through email, fax, Excel templates and PDFs. The report cites a Ministry of Agriculture, Forestry and Fisheries survey (October 2025) in which 68.0% of respondents named large price volatility as a challenge in stable procurement of domestic agricultural and marine products. It also notes that the effective job-opening ratio for food manufacturing was 2.73 in 2025, more than double the 1.12 all-industry average, suggesting quoting workloads are rising while staffing is not.

The test case uses a fictional seasoning maker and six quote requests. The AI's 130-second draft for 10 products included an unprompted revision for sesame oil, while it held an egg-free request rather than substituting the standard product, and left pricing for changed volumes or recipes pending quality assurance confirmation. AIworker says it previously built a quoting AI for a major domestic industrial machinery maker that reduced a 150-minute quote to 30 minutes, and argues the structure of building up costs and having people judge exceptions carries over to food makers.

The report includes an assessment table for the test material, an effect-estimation table, prepared answers to likely internal questions and three actions for the week, with statistics drawn from the agriculture ministry survey and IPA's DX Trends 2025. Company names in the case study are withheld.