FedEx explicitly discusses the operational impact and risks associated with emerging technologies like artificial intelligence and machine learning. This focus indicates active evaluation or implementation of AI/ML, creating potential needs for specialized platforms, data infrastructure, and consulting services to improve operations and service offerings.
Filing excerpt
our ability to mitigate the technological, operational, legal and regulatory, and reputational risks related to emerging technologies such as autonomous technology and artificial intelligence;
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10qplatformStrategyGet every 10-Q signal for FedEx and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at FedEx this week?”
The Signal API returns 10-Q signals for any list of companies as JSON, for your CRM, warehouse or app.
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This page shows a preview. The full sec-10q 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/479f02aa-cd79-4965-95a0-ac8ed59c0520 returns this record as JSON. POST /v1/companies/enrich returns every signal for fedex.com.
{
"signal_id": "479f02aa-cd79-4965-95a0-ac8ed59c0520",
"signal_type": "sec-10q",
"signal_subtype": "platformStrategy",
"detected_at": "2026-03-24T05:41:00.495+00:00",
"company": {
"name": "FedEx",
"domain": "fedex.com"
},
"data": {
"detail": "FedEx explicitly discusses the operational impact and risks associated with emerging technologies like artificial intelligence and machine learning. This focus indicates active evaluation or implementation of AI/ML, creating potential needs for specialized platforms, data infrastructure, and consulting services to improve operations and service offerings.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Company highlights focus on AI and machine learning for operations",
"excerpts": "our ability to mitigate the technological, operational, legal and regulatory, and reputational risks related to emerging technologies such as autonomous technology and artificial intelligence;",
"relevance": 0.7,
"sentiment": "neutral",
"confidence": "medium",
"source_url": "https://www.sec.gov/Archives/edgar/data/1048911/000104891126000011/fdx-20260228.htm",
"filing_date": "2026-03-19",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "02/28",
"sales_relevance": "Platform tools needed",
"signal_category": "strategic",
"technologies_mentioned": [
"artificial intelligence",
"machine learning",
"autonomous technology"
]
}
}
curl https://signals.autobound.ai/v1/signals/479f02aa-cd79-4965-95a0-ac8ed59c0520 \
-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":"fedex.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.