In July 2026 Stitch Fix patented machine-learning technology for generating personalized recommendations across shopping and customer-engagement applications.
Abstract
Events are captured from a plurality of source domains by a plurality of entities for a plurality of different physical items. The events are captured as time series data to generate a unified machine learning embedding. The unified machine learning embedding is used for predictions in different domains of a plurality of prediction target domains.
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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
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{
"signal_id": "40b61f8f-dbd7-5c37-ab54-e4d7159df00a",
"signal_type": "patents-company",
"signal_subtype": "patentGrant",
"detected_at": "2026-09-17T21:48:02+00:00",
"company": {
"name": "Stitch Fix",
"domain": "stitchfix.com"
},
"data": {
"cpc": [
{
"code": "G06Q 30/0631",
"label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
},
{
"code": "G06N 20/00",
"label": "Computing arrangements based on specific computational models"
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"label": "Electric digital data processing"
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"label": "Computing arrangements based on specific computational models"
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{
"code": "G06N 5/022",
"label": "Computing arrangements based on specific computational models"
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],
"tags": [
"Intellectual Property",
"Research & Development",
"Machine Learning",
"Customer Experience"
],
"detail": "In July 2026 Stitch Fix patented machine-learning technology for generating personalized recommendations across shopping and customer-engagement applications.",
"summary": "Stitch Fix was granted a patent for cross-domain recommendation technology.",
"event_at": "2026-07-21",
"inventors": [
{
"name": "Kevin J. Zielnicki",
"status": "unresolved",
"is_primary": true
},
{
"name": "Dirk D. Sierag",
"status": "resolved",
"is_primary": false,
"linkedin_url": "https://www.linkedin.com/in/dirk-sierag-46923882"
}
],
"tech_area": "business methods / CRM / fintech",
"event_kind": "grant_date",
"grant_date": "2026-07-21",
"source_url": "https://patents.google.com/patent/US12688523",
"cpc_primary": {
"code": "G06Q 30/0631",
"label": "Data processing systems for administrative, commercial, financial, managerial or supervisory purposes"
},
"patent_title": "Multidomain time series recommendation",
"patent_number": "US12688523",
"uspto_assignee": "Stitch Fix, Inc.",
"patent_abstract": "Events are captured from a plurality of source domains by a plurality of entities for a plurality of different physical items. The events are captured as time series data to generate a unified machine learning embedding. The unified machine learning embedding is used for predictions in different domains of a plurality of prediction target domains.",
"precision_class": "structural",
"invention_explanation": "A method that combines activity over time from different sources into one customer-and-item profile, then uses it to predict what should be recommended in multiple settings.",
"technologies_mentioned": [
"recommendation engines",
"time-series data",
"machine learning",
"customer analytics"
]
}
}
curl https://signals.autobound.ai/v1/signals/40b61f8f-dbd7-5c37-ab54-e4d7159df00a \
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-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
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