Delta Air Lines was granted a patent for AI-powered baggage handling.

{
  "signal_id": "552f89dc-b026-5140-9a40-771bc0a3894f",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-07T15:06:41+00:00",
  "company": {
    "name": "Delta",
    "domain": "delta.com"
  },
  "data": {
    "cpc": [
      {
        "code": "B64F 1/368"
      },
      {
        "code": "G06Q 10/063112",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 10/06312",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      },
      {
        "code": "G06Q 10/08",
        "label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Logistics / Supply Chain"
    ],
    "detail": "In October 2026 Delta Air Lines patented machine-learning technology for optimizing baggage movement at airports, with potential use in cabin cleaning, fueling, and cargo operations.",
    "summary": "Delta Air Lines was granted a patent for AI-powered baggage handling.",
    "event_at": "2026-10-06",
    "inventors": [
      {
        "name": "Saurabh Rajole",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Matthew DeGenova",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/matthewdegenova"
      },
      {
        "name": "Mallikarjuna Y. Bachu",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Thayumanav Jayadevan",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Nathaniel P. Helms",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "event_kind": "grant_date",
    "grant_date": "2026-10-06",
    "source_url": "https://patents.google.com/patent/US12752932",
    "cpc_primary": {
      "code": "B64F 1/368"
    },
    "patent_title": "Baggage handling system and method using artificial intelligence",
    "patent_number": "US12752932",
    "uspto_assignee": "Delta Air Lines, Inc.",
    "patent_abstract": "A system and methods that leverage artificial intelligence (AI) techniques by which one or more machine learning models are trained to improve baggage handling operations. The system and methods are applicable to other uses within airport operations such as aircraft cabin cleaning and aircraft fueling, as well as other operations, such as cargo handling, package delivery, etc. The system optimizes operations by fine tuning and tracking drive time per bag-run by allowing for nearby pickups/drops to minimize time and distance between baggage handler assignments. The system also manages all baggage handlers and tasks, adjusts baggage handler routing as flights depart and arrive an airport and identifies so-called hopeless baggage runs.",
    "precision_class": "structural",
    "invention_explanation": "A system that learns how to sequence nearby baggage pickups and drop-offs, reducing vehicle travel time for each baggage run.",
    "technologies_mentioned": [
      "machine learning",
      "artificial intelligence",
      "airport operations",
      "baggage handling"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/552f89dc-b026-5140-9a40-771bc0a3894f \
  -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":"delta.com","limit":20}'