[{"data":1,"prerenderedAt":457},["ShallowReactive",2],{"uc-hub-pattern-recommendation-and-personalization":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":24,"benchmarks":380,"topIndustries":394,"topFunctions":411,"topPatterns":430,"stageMix":431,"regionMix":444,"organizations":456,"other":84},"pattern","AI pattern",{"id":7,"label":8,"description":9},"recommendation-and-personalization","Recommendation and personalization","Choosing the next best product, offer, message or action for an individual.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":16,"countries":17,"outcomeDisclosureRate":18,"gradeMix":19},20,75,13,70,21,65,{"A":20,"B":21,"C":22,"D":23},0,41,33,1,[25,58,86,107,119,139,158,178,194,208,221,240,257,273,293,312,324,337,353,370],{"slug":26,"title":27,"shortTitle":28,"definition":29,"status":30,"industries":31,"functions":33,"patterns":35,"audience":39,"autonomy":40,"adoptionStage":41,"segment":42,"evidenceCount":43,"publicEvidenceCount":43,"organizations":44,"bestGrade":48,"headline":49,"lastVerified":57,"indexable":11},"freight-dispatch-and-load-matching-agent","AI agent for freight dispatch and load matching","Freight dispatch and load matching","An AI agent that does the coordination work behind moving a truckload: reading an emailed quote request and replying with a price, ranking which loads to show which carriers, matching pickup and delivery details to an open dock appointment slot, and chasing the exceptions, so a broker's or carrier's own staff plan lanes and handle disputes instead of typing quotes and making appointment calls.","published",[32],"logistics-and-transportation",[34],"operations",[36,7,37,38],"agentic-workflow","document-processing","prediction-and-scoring","employee-facing","supervised-agent","early-adopters","freight-brokerage",3,[45,46,47],"C.H. Robinson","J.B. Hunt Transport Services","Uber Freight","B",{"kpi":50,"label":51,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":54,"qualifier":55,"claimant":56,"organization":47,"vendorReported":10},"conversion-rate-uplift","Conversion uplift","percent","reported",12,"exact","organization","2026-09-28",{"slug":59,"title":60,"shortTitle":61,"definition":62,"status":30,"industries":63,"functions":67,"patterns":70,"audience":39,"autonomy":72,"adoptionStage":41,"evidenceCount":73,"publicEvidenceCount":74,"organizations":75,"bestGrade":83,"headline":84,"lastVerified":85,"indexable":11},"outbound-sales-prospecting-agent","AI agent for outbound sales prospecting and personalized outreach","Outbound sales prospecting","An AI agent that researches target accounts and contacts, drafts personalized outbound outreach (emails, LinkedIn messages and call scripts) from the campaign, the prospect's context and the sales goals, and sequences the follow ups, with a sales development rep approving or sending every message.",[64,65,66],"cross-industry","technology","professional-services",[68,69],"sales","marketing",[71,36,7,38],"content-generation","copilot",9,7,[76,77,78,79,80,81,82],"A-LIGN","ANS","Dun & Bradstreet","Lumen Technologies","Merge","Oyster","Unifonic","C",null,"2026-09-27",{"slug":87,"title":88,"shortTitle":89,"definition":90,"status":30,"industries":91,"functions":94,"patterns":96,"audience":98,"autonomy":99,"adoptionStage":100,"segment":101,"evidenceCount":102,"publicEvidenceCount":43,"organizations":103,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"offers-and-rewards-agent","AI agent for personalized offers and rewards","Offers and rewards","A customer facing AI agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment from their transactions and context, delivers it in the app, in messaging or through a colleague, and helps the customer understand, track and redeem rewards in conversation. Unlike campaign personalization, it works inside the customer's own account and loyalty relationship, one moment at a time.",[92,93],"banking","payments",[69,68,95],"customer-service",[7,38,97],"conversational-agent","customer-facing","autonomous","mainstream","front-office",8,[104,105,106],"Bank of America","Commonwealth Bank of Australia","DBS Bank",{"slug":108,"title":109,"shortTitle":110,"definition":111,"status":30,"industries":112,"functions":113,"patterns":114,"audience":98,"autonomy":40,"adoptionStage":116,"segment":101,"evidenceCount":43,"publicEvidenceCount":43,"organizations":117,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"proactive-outbound-engagement-agent","AI agent for proactive customer outreach, activation and retention","Proactive outreach and activation","An AI agent that holds the conversation when a bank reaches out first to change something about the customer's account or products, triggered by an event or a campaign: low balance and fee avoidance alerts, payment and renewal reminders, card activation, dormant account reactivation and offers the customer already qualifies for, over messaging or voice, while the bank's own systems decide who is contacted and why. Reminders about appointments and deliveries the customer booked, and the in app coach the customer opens, are separate use cases.",[92,93],[69,68,95],[97,115,36,7],"voice-agent","emerging",[104,118,105],"Capital One",{"slug":120,"title":121,"shortTitle":122,"definition":123,"status":30,"industries":124,"functions":126,"patterns":128,"audience":98,"autonomy":40,"adoptionStage":41,"segment":101,"evidenceCount":130,"publicEvidenceCount":130,"organizations":131,"bestGrade":48,"headline":136,"lastVerified":85,"indexable":11},"business-connectivity-quoting-and-service-assistant","AI assistant for B2B telecom quoting, sales and service","B2B quoting and service","An AI assistant that serves business customers of a telecom operator and the sellers who look after them: it answers product, pricing and contract questions, prepares configurations and quotes for connectivity, mobile fleets and devices, drafts responses to tenders, and handles routine service requests and fault tickets, with a sales or service specialist approving anything binding.",[125],"telecommunications",[68,95,127],"product-and-pricing",[97,129,36,7,71],"rag-knowledge-assistant",5,[79,132,133,134,135],"SoftBank Corp.","Telefónica España","Verizon","Vodafone Business",{"kpi":137,"label":138,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":16,"qualifier":55,"claimant":56,"organization":132,"vendorReported":10},"containment-rate","Containment rate",{"slug":140,"title":141,"shortTitle":142,"definition":143,"status":30,"industries":144,"functions":146,"patterns":148,"audience":39,"autonomy":150,"adoptionStage":41,"segment":151,"evidenceCount":130,"publicEvidenceCount":130,"organizations":152,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"insurance-broker-and-agent-assistant","AI assistant for insurance brokers and agents","Broker and agent assistant","An AI assistant for tied agents, independent brokers, advisors and the insurer's own distribution staff that answers product, underwriting and process questions from approved sources, prepares personalized customer engagement and follow ups, validates and prioritizes leads, and drafts meeting notes and emails, so producers spend more time with customers.",[145],"insurance",[68,147],"knowledge-management",[129,7,71,149],"summarization","assist","distribution",[153,154,155,156,157],"Manulife","Prudential plc","Sun Life","Waterdrop","Zurich Insurance Group",{"slug":159,"title":160,"shortTitle":161,"definition":162,"status":30,"industries":163,"functions":164,"patterns":165,"audience":98,"autonomy":40,"adoptionStage":41,"segment":101,"evidenceCount":73,"publicEvidenceCount":73,"organizations":166,"bestGrade":48,"headline":175,"lastVerified":177,"indexable":11},"plan-upgrade-and-sales-assistant","AI assistant for telecom plan upgrades, add ons and sales","Plan upgrade and sales assistant","An AI assistant that helps existing and prospective customers choose, compare and buy the right mobile, broadband or TV plan, device or extra, in the app, in messaging, on the phone or through a human advisor, using the customer's usage and eligibility and the operator's current offers, and that completes the order or passes a ready quote to a person.",[125],[68,95,69],[7,97,129,115,36],[167,168,169,170,171,172,134,173,174],"Reliance Jio","Mobily","Orange France","Singtel","T-Mobile","Telenet","Virgin Media O2","Vodafone",{"kpi":50,"label":51,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":14,"qualifier":55,"claimant":176,"organization":172,"vendorReported":11},"vendor","2026-09-26",{"slug":179,"title":180,"shortTitle":181,"definition":182,"status":30,"industries":183,"functions":184,"patterns":185,"audience":39,"autonomy":150,"adoptionStage":41,"segment":101,"evidenceCount":43,"publicEvidenceCount":43,"organizations":187,"bestGrade":83,"headline":190,"lastVerified":85,"indexable":11},"retail-store-and-kiosk-assistant","AI assistant for telecom retail stores, from associate copilot to digital human kiosk","Retail store and kiosk assistant","An AI assistant for telecom shops that gives store associates quick, sourced answers on plans, promotions, devices and the customer's account during the conversation, and that can also greet and serve customers directly on an in store screen or kiosk, sometimes as a digital human, handing them to an associate when they are ready to buy or need help.",[125],[68,95,147],[129,186,97,7],"digital-human",[188,189,171],"Bouygues Telecom","Deutsche Telekom",{"kpi":191,"label":192,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":193,"qualifier":55,"claimant":176,"organization":188,"vendorReported":11},"accuracy","Accuracy",95,{"slug":195,"title":196,"shortTitle":197,"definition":198,"status":30,"industries":199,"functions":200,"patterns":201,"audience":98,"autonomy":40,"adoptionStage":41,"segment":101,"evidenceCount":102,"publicEvidenceCount":202,"organizations":203,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"financial-wellbeing-coach","AI financial wellbeing coach in the banking app","Financial wellbeing coach","An in app AI assistant that the customer opens to understand their own money: it uses the customer's transaction data to explain their spending, forecast upcoming bills and cash flow, set and track savings goals and answer money questions in plain language, staying on the guidance side of the line between guidance and regulated financial advice.",[92],[95,69],[97,7,38,36],6,[104,105,204,205,206,207],"Hyundai Card","Royal Bank of Canada","Starling Bank","Westpac",{"slug":209,"title":210,"shortTitle":211,"definition":212,"status":30,"industries":213,"functions":214,"patterns":216,"audience":217,"autonomy":72,"adoptionStage":116,"segment":151,"evidenceCount":43,"publicEvidenceCount":43,"organizations":218,"bestGrade":48,"headline":84,"lastVerified":177,"indexable":11},"insurance-renewal-and-retention","AI for insurance renewal processing and customer retention","Renewal and retention","AI that prepares and runs the renewal cycle: it digitizes renewal submissions and changes in risk for underwriters, flags policies at risk of lapsing or leaving, prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.",[145],[215,95,68],"underwriting",[38,37,97,7],"back-office",[219,220,157],"Hiscox","Nsure.com",{"slug":222,"title":223,"shortTitle":224,"definition":225,"status":30,"industries":226,"functions":227,"patterns":230,"audience":39,"autonomy":40,"adoptionStage":41,"segment":232,"evidenceCount":130,"publicEvidenceCount":130,"organizations":233,"bestGrade":48,"headline":236,"lastVerified":85,"indexable":11},"network-planning-and-capacity-optimization","AI for mobile network planning and capacity optimization","Network planning and capacity","Machine learning that forecasts where and when a mobile network will run out of capacity, recommends where to add cells, spectrum or hardware, and continuously tunes radio parameters so existing capacity carries more traffic, with planners approving investments and major changes.",[125],[228,229],"network-operations","analytics-and-reporting",[38,7,231,36],"anomaly-detection","network",[189,234,235,133,174],"NTT DOCOMO","stc Group",{"kpi":237,"label":238,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":193,"qualifier":239,"claimant":56,"organization":189,"vendorReported":10},"processing-time-reduction","Cycle time reduction","at-least",{"slug":241,"title":242,"shortTitle":243,"definition":244,"status":30,"industries":245,"functions":246,"patterns":247,"audience":217,"autonomy":40,"adoptionStage":100,"segment":248,"evidenceCount":249,"publicEvidenceCount":249,"organizations":250,"bestGrade":48,"headline":253,"lastVerified":85,"indexable":11},"churn-prediction-and-retention-offers","AI for telecom churn prediction and retention offers","Churn prediction and retention","AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals, explains the likely reason, and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.",[125],[69,95,68,229],[38,7,97],"middle-office",4,[251,172,173,252],"Etisalat","Vodafone UK",{"kpi":254,"label":255,"unit":52,"n":256,"nUpTo":20,"kind":53,"value":13,"qualifier":55,"claimant":176,"organization":172,"vendorReported":11},"churn-reduction","Churn reduction",2,{"slug":258,"title":259,"shortTitle":260,"definition":261,"status":30,"industries":262,"functions":265,"patterns":267,"audience":39,"autonomy":150,"adoptionStage":41,"evidenceCount":249,"publicEvidenceCount":249,"organizations":268,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"internal-talent-marketplace-matching","AI internal talent marketplace for matching employees to projects, roles and mentors","Internal talent marketplace","An internal platform that uses AI to infer employees' skills and interests and recommend short term projects, open roles, mentors and learning to them, while showing managers which employees fit an opportunity, so that work is staffed from inside before hiring or contracting externally.",[64,263,93,264],"manufacturing","government",[266],"human-resources",[7,38],[269,270,271,272],"Federal Bureau of Prisons","Mastercard","Schneider Electric","Unilever",{"slug":274,"title":275,"shortTitle":276,"definition":277,"status":30,"industries":278,"functions":282,"patterns":283,"audience":217,"autonomy":40,"adoptionStage":100,"evidenceCount":102,"publicEvidenceCount":74,"organizations":284,"bestGrade":48,"headline":291,"lastVerified":85,"indexable":11},"personalized-marketing-at-scale","AI marketing personalization at scale","Marketing personalization at scale","AI that runs marketing campaigns at the level of the individual: it decides for each customer which product, offer, message or content to show next across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the marketing team's engine across many campaigns and channels, not an agent that converses with the customer.",[64,279,280,281,92],"travel-and-hospitality","media-and-entertainment","retail-and-ecommerce",[69,68],[7,38,71],[285,286,105,287,288,289,290],"Amazon","Catchtable","Radisson Hotel Group","Square Enix","Swarovski","Virgin Voyages",{"kpi":50,"label":51,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":292,"qualifier":55,"claimant":176,"organization":286,"vendorReported":11},30,{"slug":294,"title":295,"shortTitle":296,"definition":297,"status":30,"industries":298,"functions":300,"patterns":301,"audience":39,"autonomy":150,"adoptionStage":41,"segment":101,"evidenceCount":130,"publicEvidenceCount":130,"organizations":302,"bestGrade":48,"headline":308,"lastVerified":85,"indexable":11},"next-best-action-for-advisors","AI next best action prompts for wealth advisors","Advisor next best action","An AI engine for wealth advisors, not customers, that scans an advisor's whole book and surfaces a short, ranked list of client specific prompts, such as idle cash, a maturing deposit, a concentration to review, a life event or an early sign of attrition, each with the reasoning and data behind it, for the advisor to act on or dismiss.",[299,92],"wealth-and-asset-management",[68,69,229],[7,38,71],[303,304,305,306,307],"CIMB Niaga","Citi","JPMorgan Chase","Morgan Stanley","UBS",{"kpi":309,"label":310,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":311,"qualifier":55,"claimant":56,"organization":307,"vendorReported":10},"employee-adoption","Employee adoption",80,{"slug":313,"title":314,"shortTitle":315,"definition":316,"status":30,"industries":317,"functions":318,"patterns":319,"audience":217,"autonomy":99,"adoptionStage":100,"segment":320,"evidenceCount":256,"publicEvidenceCount":256,"organizations":321,"bestGrade":48,"headline":84,"lastVerified":57,"indexable":11},"content-recommendation-and-personalization","AI recommendation and personalization engine for streaming and media","Content recommendation and personalization","A recommendation system that decides, for each individual viewer or listener, what to show next on a home page, in search or in a personalized playlist, learned from that person's own viewing or listening history, ratings and context, and continuously updated as new content is added and behavior changes. It ranks the catalog's own content; it is not the marketing engine that decides which offers or campaigns to send, which is a separate use case in this library.",[280],[69,229],[7,38],"content discovery",[322,323],"Netflix, Inc.","Spotify",{"slug":325,"title":326,"shortTitle":327,"definition":328,"status":30,"industries":329,"functions":330,"patterns":334,"audience":39,"autonomy":72,"adoptionStage":116,"segment":335,"evidenceCount":256,"publicEvidenceCount":23,"organizations":336,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"loan-restructuring-recommendations","AI recommendations for loan restructuring and hardship arrangements","Restructuring recommendations","An assistant that assembles a stressed borrower's position, tests restructuring options such as a term extension, rate relief, payment holiday or due date change against policy and affordability, and recommends the best fit with a written rationale for a person to approve.",[92],[331,332,333],"collections-and-recovery","lending-and-credit","risk-management",[36,129,37,7],"lending",[105],{"slug":338,"title":339,"shortTitle":340,"definition":341,"status":30,"industries":342,"functions":343,"patterns":344,"audience":98,"autonomy":99,"adoptionStage":41,"evidenceCount":345,"publicEvidenceCount":130,"organizations":346,"bestGrade":48,"headline":351,"lastVerified":85,"indexable":11},"conversational-shopping-assistant","AI shopping assistant for product discovery and recommendations","Conversational shopping assistant","A conversational assistant on a retailer's site or app that answers product questions, compares items and recommends products from the retailer's own catalog for a need, project or occasion described in the shopper's own words, grounded in product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.",[64,281],[68,69,95],[97,7,129,36],10,[285,347,348,349,350],"Lowe's","Sun & Ski Sports","Walmart","Zalando",{"kpi":50,"label":51,"unit":352,"n":23,"nUpTo":20,"kind":53,"value":43,"qualifier":55,"claimant":176,"organization":348,"vendorReported":11},"multiplier",{"slug":354,"title":355,"shortTitle":356,"definition":357,"status":30,"industries":358,"functions":359,"patterns":360,"audience":98,"autonomy":40,"adoptionStage":41,"evidenceCount":202,"publicEvidenceCount":130,"organizations":361,"bestGrade":48,"headline":367,"lastVerified":177,"indexable":11},"travel-and-hotel-booking-concierge","AI travel and hotel booking concierge","Travel and hotel booking concierge","A customer facing AI assistant that turns an open travel question into a concrete trip by searching live inventory for flights, hotels, rentals, cruises and activities, comparing options and answering questions about the property and the booking, then completes or hands off the booking and supports the traveller with changes and questions before and during the stay.",[279],[68,95],[97,7,129,36],[362,363,364,365,366],"Airbnb","Booking.com","Holland America Line","Priceline","Trip.com",{"kpi":368,"label":369,"unit":52,"n":23,"nUpTo":20,"kind":53,"value":292,"qualifier":55,"claimant":56,"organization":363,"vendorReported":10},"automation-rate","Automation rate",{"slug":371,"title":372,"shortTitle":373,"definition":374,"status":30,"industries":375,"functions":376,"patterns":377,"audience":98,"autonomy":40,"adoptionStage":41,"segment":151,"evidenceCount":23,"publicEvidenceCount":23,"organizations":378,"bestGrade":48,"headline":84,"lastVerified":85,"indexable":11},"conversational-insurance-quote-and-buy","Conversational AI for insurance quote and buy","Conversational quote and buy","A customer facing AI agent that sells insurance directly in a conversation: it asks the rating questions in plain language, explains cover options, returns a price from the insurer's rating engine, handles objections and takes payment to bind the policy, with a licensed human available for advice and anything outside its limits.",[145],[68,95],[97,36,7,115],[379],"Lemonade",[381],{"kpi":50,"label":51,"unit":52,"aggregate":11,"higherIsBetter":11,"n":249,"nUpTo":20,"median":382,"min":54,"max":14,"byClaimant":383,"vendorOnly":10,"points":384},22.5,{"organization":23,"vendor":43,"regulator":20,"independent":20},[385,387,389,392],{"evidenceId":386,"organization":172,"value":14,"qualifier":55,"claimant":176,"grade":83,"pooled":11},"telenet-next-best-action-decisioning",{"evidenceId":388,"organization":286,"value":292,"qualifier":55,"claimant":176,"grade":83,"pooled":11},"catchtable-personalized-recommendations",{"evidenceId":390,"organization":134,"value":391,"qualifier":55,"claimant":176,"grade":83,"pooled":11},"verizon-business-next-best-x-engine",15,{"evidenceId":393,"organization":47,"value":54,"qualifier":55,"claimant":56,"grade":48,"pooled":11},"uber-freight-ai-load-recommendations",[395,397,399,401,403,405,407,409],{"id":92,"label":396,"count":202},"Banking",{"id":125,"label":398,"count":130},"Telecommunications",{"id":64,"label":400,"count":249},"Cross industry",{"id":145,"label":402,"count":43},"Insurance",{"id":93,"label":404,"count":43},"Payments and cards",{"id":280,"label":406,"count":256},"Media and entertainment",{"id":281,"label":408,"count":256},"Retail and ecommerce",{"id":279,"label":410,"count":256},"Travel and hospitality",[412,415,418,420,422,424,426,428],{"id":68,"label":413,"count":414},"Sales",14,{"id":95,"label":416,"count":417},"Customer service",11,{"id":69,"label":419,"count":345},"Marketing",{"id":229,"label":421,"count":249},"Analytics and reporting",{"id":147,"label":423,"count":256},"Knowledge management",{"id":331,"label":425,"count":23},"Collections and recovery",{"id":266,"label":427,"count":23},"Human resources",{"id":332,"label":429,"count":23},"Lending and credit",[],[432,434,436,439,442],{"stage":433,"count":20},"announced",{"stage":435,"count":249},"pilot",{"stage":437,"count":438},"production",42,{"stage":440,"count":441},"scaled",29,{"stage":443,"count":20},"paused",[445,448,450,452,454],{"region":446,"count":447},"north-america",28,{"region":449,"count":13},"europe",{"region":451,"count":414},"asia-pacific",{"region":453,"count":73},"global",{"region":455,"count":249},"middle-east",[76,77,362,285,104,363,188,45,303,118,286,304,105,106,189,78,251,269,219,364,204,46,305,379,347,79,153,270,80,168,306,234,322,220,169,81,365,154,287,167,205,271,170,132,323,288,206,348,155,289,171,133,172,366,307,47,82,272,134,173,290,174,135,252,349,156,207,350,157,235],1790598309612]