Fastenal is actively using artificial intelligence to analyze customer data to optimize parts recommendations and prevent stock-outs, a core part of its value proposition.
Filing excerpt
Other applications are assisted by artificial intelligence (AI) to analyze customer usage data to recommend optimized parts and quantity for specific devices, which improves customer inventories while reducing the risk of stock-outs.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
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This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/1b996e29-487e-4d8c-b9bd-c3ffd0a983eb returns this record as JSON. POST /v1/companies/enrich returns every signal for fastenal.com.
{
"signal_id": "1b996e29-487e-4d8c-b9bd-c3ffd0a983eb",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-02-10T07:49:41.216+00:00",
"company": {
"name": "Fastenal",
"domain": "fastenal.com"
},
"data": {
"detail": "Fastenal is actively using artificial intelligence to analyze customer data to optimize parts recommendations and prevent stock-outs, a core part of its value proposition. This indicates a strategic focus and budget for AI, creating opportunities for vendors offering more advanced AI/ML capabilities, data infrastructure support, or specialized predictive algorithms.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Deploying AI to analyze customer usage data and optimize inventory recommendations.",
"excerpts": "Other applications are assisted by artificial intelligence (AI) to analyze customer usage data to recommend optimized parts and quantity for specific devices, which improves customer inventories while reducing the risk of stock-outs.",
"relevance": 0.8,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/815556/000081555626000009/fast-20251231.htm",
"filing_date": "2026-02-05",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI",
"artificial intelligence"
]
}
}
curl https://signals.autobound.ai/v1/signals/1b996e29-487e-4d8c-b9bd-c3ffd0a983eb \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"fastenal.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.