AI pattern

Recommendation and personalization use cases

The most documented recommendation and personalization use cases are conversational shopping assistant, travel and hotel booking concierge and plan upgrade and sales assistant, across 167 public deployments by 157 organizations. Choosing the next best product, offer, message or action for an individual.

Use cases
30
Deployments
167
Organizations
157
Outcome disclosed
64%

The 10 most common recommendation and personalization use cases

Ranked by the number of organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI shopping assistant for product discovery and recommendations

    An AI conversational shopping assistant answers product questions and recommends items from a retailer's own catalog, for a need, project or occasion a shopper describes.

    13 organizations
    100% median conversion uplift
    3 deployments
  2. 2
    AI travel and hotel booking concierge

    A travel and hotel booking concierge is an AI assistant that turns an open travel question into a concrete trip for travelers.

    13 organizations
    88% median automation rate
    3 deployments
  3. 3
    AI assistant for telecom plan upgrades, add ons and sales

    A plan upgrade and sales assistant is an AI assistant that helps telecom customers choose, compare and buy the right mobile, broadband or TV plan, device or extra.

    11 organizations
    75% conversion uplift
    one deployment, vendor claim
  4. 4
    AI financial wellbeing coach in the banking app

    A financial wellbeing coach is an in app AI assistant that customers open to understand their own money.

    10 organizations
  5. 5
    AI for mobile network planning and capacity optimization

    AI network planning and capacity optimization is machine learning that forecasts where and when a mobile network will run out of capacity, for network planners.

    9 organizations
    at least 95% cycle time reduction
    one deployment, organization claim
  6. 6
    AI marketing personalization at scale

    AI marketing personalization at scale is AI that decides, for each customer, which product, offer, message or content to show next, for a marketing team running many campaigns.

    9 organizations
    30% conversion uplift
    one deployment, vendor claim
  7. 7
    AI agent for outbound sales prospecting and personalized outreach

    An AI agent for outbound sales prospecting researches target accounts and contacts, and drafts personalized outbound outreach for a sales team.

    7 organizations
  8. 8
    AI conversational property search assistant for real estate portals

    A property search assistant is a conversational AI on a real estate portal that lets buyers and renters search, compare and narrow down homes in plain language instead of filters.

    7 organizations
  9. 9
    AI for clinical trial site selection and feasibility

    AI that scores and ranks candidate investigator sites and countries for a planned clinical trial, so clinical operations teams choose sites more likely to meet enrollment targets on time.

    7 organizations
    53% cycle time reduction
    one deployment, organization claim
  10. 10
    AI assistant for telecom retail stores, from associate copilot to digital human kiosk

    A retail store and kiosk assistant is AI for telecom shops that gives store associates quick, sourced answers on plans, promotions, devices and the customer's account during the conversation.

    6 organizations
    95% accuracy
    one deployment, vendor claim

30 Recommendation and personalization use cases

157 organizations in 34 countries run these use cases in public. 64% of those 167 deployments disclose a measurable outcome.

Cross industryManufacturing

AI agent for candidate sourcing and talent rediscovery

AI candidate sourcing and talent rediscovery is AI that builds and works the candidate pipeline before an application arrives, for recruiters filling open roles. It matches open roles against a company's own past applicants sitting unused in the applicant tracking system, ranks and surfaces the best fits for a recruiter to approach, and optimizes career site content and outreach to attract more of the right applicants, instead of a recruiter starting each search from an empty external search or a job board.

Deployments
5 public, best grade C
Reported cycle time reduction
30%
AtkinsRéalis, vendor claim
Logistics and transportation

AI agent for freight dispatch and load matching

An AI freight dispatch and load matching agent coordinates moving a truckload for freight brokers and carriers. It reads an emailed quote request and replies with a price, ranks which loads to show which carriers, matches pickup and delivery details to an open dock appointment slot, and chases exceptions, so staff plan lanes and handle disputes instead of manual quoting and appointment calls.

Deployments
3 public, best grade B
Reported conversion uplift
12%
Uber Freight, organization claim
Cross industryTechnology and software

AI agent for outbound sales prospecting and personalized outreach

An AI agent for outbound sales prospecting researches target accounts and contacts, and drafts personalized outbound outreach for a sales team. It writes the 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.

Deployments
7 public, best grade C
Autonomy
Copilot
BankingPayments and cards

AI agent for personalized offers and rewards

AI offers and rewards is a customer facing agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment. It draws on the customer's transactions and context, delivers the offer in the app, in messaging or through a colleague, helps the customer understand, track and redeem rewards in conversation, and works inside their own account and loyalty relationship, unlike campaign personalization.

Deployments
4 public, best grade B
Autonomy
Autonomous
BankingPayments and cards

AI agent for proactive customer outreach, activation and retention

Proactive outreach and activation is an AI agent that holds the conversation when a bank reaches out first to change something about a customer's account or products. It is 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.

Deployments
4 public, best grade B
Reported conversion uplift
at least 40%
Monee, vendor claim
Telecommunications

AI assistant for B2B telecom quoting, sales and service

A B2B telecom quoting and service assistant is an AI that answers business customers' product, pricing and contract questions and prepares configurations and quotes for connectivity, mobile fleets and devices. It also serves the sellers who look after these accounts, drafts responses to tenders, and handles routine service requests and fault tickets, with a sales or service specialist approving anything binding.

Deployments
5 public, best grade B
Reported containment rate
70%
SoftBank Corp., organization claim
Insurance

AI assistant for insurance brokers and agents

An insurance broker and agent assistant is AI that answers product, underwriting and process questions for tied agents, independent brokers, advisors and insurers' own distribution staff from approved sources. It also prepares personalized customer engagement and follow ups, validates and prioritizes leads, and drafts meeting notes and emails, so producers spend more time with customers.

Deployments
5 public, best grade B
Autonomy
Assist
Telecommunications

AI assistant for telecom plan upgrades, add ons and sales

A plan upgrade and sales assistant is an AI assistant that helps telecom customers choose, compare and buy the right mobile, broadband or TV plan, device or extra. It serves existing and prospective customers in the app, in messaging, on the phone or through a human advisor, using their usage and eligibility and the operator's current offers, and it completes the order or passes a ready quote to a person.

Deployments
11 public, best grade B
Reported conversion uplift
75%
Telenet, vendor claim
Telecommunications

AI assistant for telecom retail stores, from associate copilot to digital human kiosk

A retail store and kiosk assistant is AI for telecom shops that gives store associates quick, sourced answers on plans, promotions, devices and the customer's account during the conversation. It 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.

Deployments
6 public, best grade B
Reported accuracy
95%
Bouygues Telecom, vendor claim
Real estate

AI conversational property search assistant for real estate portals

A property search assistant is a conversational AI on a real estate portal that lets buyers and renters search, compare and narrow down homes in plain language instead of filters. It also answers affordability and neighborhood questions from the portal's own listing and market data, and hands the shopper to a tour booking or a local agent.

Deployments
7 public, best grade B
Autonomy
Supervised agent
Media and entertainment

AI dynamic paywall and subscription propensity scoring

An AI dynamic paywall scores how likely each reader is to subscribe and uses the score to choose whether to show a paywall, which offer and which message. News publishers use it to grow subscriptions while keeping the advertising revenue of readers who are unlikely to pay, where a classic paywall applies one fixed rule to everyone.

Deployments
4 public, best grade B
Reported conversion uplift
92%
Financial Times, organization claim
Banking

AI financial wellbeing coach in the banking app

A financial wellbeing coach is an in app AI assistant that customers open 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.

Deployments
10 public, best grade B
Autonomy
Supervised agent
Travel and hospitality

AI for airline fuel efficiency optimization

Airline fuel efficiency optimization is an AI system that analyzes flight data to coach pilots and flight operations engineers on fuel performance against a baseline. It analyzes fuel burn, routing, taxi procedure and auxiliary power unit use fleet wide, flags the highest value savings opportunities by route and procedure, and tracks the savings over time.

Deployments
4 public, best grade C
Autonomy
Assist
Pharma and life sciences

AI for clinical trial site selection and feasibility

AI that scores and ranks candidate investigator sites and countries for a planned clinical trial, so clinical operations teams choose sites more likely to meet enrollment targets on time. It ranks them by predicted enrollment speed, access to the eligible patient population and historical performance, and teams use the shortlist to activate sites instead of relying on which ones a study team happens to know.

Deployments
7 public, best grade B
Reported cycle time reduction
53%
ICON plc, organization claim
Insurance

AI for insurance renewal processing and customer retention

Renewal and retention AI prepares and runs the insurance renewal cycle, digitizing renewal submissions and changes in risk for underwriters and flagging policies at risk of lapsing or leaving. It also prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.

Deployments
5 public, best grade B
Reported automation rate
100%
JAGADIRI, vendor claim
Telecommunications

AI for mobile network planning and capacity optimization

AI network planning and capacity optimization is machine learning that forecasts where and when a mobile network will run out of capacity, for network planners. It 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.

Deployments
9 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
Telecommunications

AI for telecom churn prediction and retention offers

AI churn prediction and retention is AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals. It 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.

Deployments
5 public, best grade B
Reported churn reduction
20%
Telenet, vendor claim
Cross industryManufacturing

AI internal talent marketplace for matching employees to projects, roles and mentors

An internal talent marketplace is an AI platform that infers employees' skills and interests and recommends short term projects, open roles, mentors and learning to them. It also shows managers which employees fit an opportunity, so that work is staffed from inside before hiring or contracting externally.

Deployments
6 public, best grade B
Autonomy
Assist
Retail and ecommerceTravel and hospitality

AI loyalty and rewards program personalization

AI loyalty personalization is AI that picks the offer, reward or message for each member of a retail, restaurant or travel loyalty program, inside the program's published rules. It unifies a member's profile across channels and predicts who is about to lapse, so each member gets a tailored action instead of the same blanket discount or point multiplier, and what a member has earned stays unchanged.

Deployments
4 public, best grade B
Reported conversion uplift
2x
Panera Bread, vendor claim
Cross industryTravel and hospitality

AI marketing personalization at scale

AI marketing personalization at scale is AI that decides, for each customer, which product, offer, message or content to show next, for a marketing team running many campaigns. It works across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the team's engine across many campaigns and channels, not an agent that converses with the customer.

Deployments
9 public, best grade B
Reported conversion uplift
30%
Catchtable, vendor claim
Wealth and asset managementBanking

AI next best action prompts for wealth advisors

AI next best action for advisors is an engine for wealth advisors, not customers, that scans an advisor's whole book and surfaces a short, ranked list of client specific prompts. Prompts include 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.

Deployments
5 public, best grade B
Reported employee adoption
at least 90%
Morgan Stanley, organization claim
Media and entertainment

AI recommendation and personalization engine for streaming and media

AI content recommendation and personalization decides what to show each viewer or listener next on a home page, in search or in a personalized playlist. It learns from that person's own viewing or listening history, ratings and context, updates continuously as new content is added and behavior changes, and ranks only the catalog's own content, not marketing offers or campaigns.

Deployments
5 public, best grade B
Autonomy
Autonomous
Banking

AI recommendations for loan restructuring and hardship arrangements

AI loan restructuring recommendations are an assistant that proposes the best hardship arrangement for a stressed borrower, for a person to approve. It assembles the borrower's position and tests options such as a term extension, rate relief, payment holiday or due date change against policy and affordability, then recommends the best fit with a written rationale.

Deployments
1 public, best grade B
Autonomy
Copilot
Cross industryRetail and ecommerce

AI shopping assistant for product discovery and recommendations

An AI conversational shopping assistant answers product questions and recommends items from a retailer's own catalog, for a need, project or occasion a shopper describes. It works on the retailer's site or app, compares items grounded in the retailer's product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.

Deployments
13 public, best grade B
Median conversion uplift
100%
3 deployments

What the evidence says

Computed from the 167 public deployments behind these use cases. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Recommendation and personalization use cases
KPIMedianReported rangeData pointsClaimed by
Conversion uplift35%
1% to 100%
125 organization, 7 vendor
Containment rate87%
45% to 95%
64 organization, 2 vendor
Conversion uplift2.8x
2x to 5x
62 organization, 4 vendor
Cycle time reduction35%
10% to 95%
64 organization, 2 vendor
Automation rate88.5%
30% to 100%
41 organization, 3 vendor
Employee adoption85%
66% to 100%
42 organization, 2 vendor
Deployments by stage
  • Announced
    4
  • Pilot
    15
  • Production
    98
  • Scaled
    50
Public deployments by region
  • North America
    66
  • Europe
    47
  • Asia Pacific
    28
  • Middle East
    12
  • Global
    9
  • Latin America
    3
  • Africa
    2

Organizations with a public deployment

  • A-LIGN
  • A1 Telekom Austria Group
  • ALDO Group
  • AMARO
  • ANS
  • ASICS
  • Activision Blizzard
  • Airbnb
  • Albertsons Companies
  • Amazon
  • American Society of Clinical Oncology (ASCO)
  • Americana Restaurants
  • Amgen
  • AtkinsRéalis
  • AutoCamp
  • Aviva
  • BT Business
  • Bank of America
  • Batelco
  • Bojangles
  • Booking.com
  • Bouygues Telecom
  • Box
  • C.H. Robinson
  • CIMB Niaga
  • Capital One
  • Carrefour
  • Catchtable
  • Cebu Pacific
  • Checkers Drive-In Restaurants
  • China Mobile
  • Citi
  • CoStar Group
  • Commonwealth Bank of Australia
  • DBS Bank
  • Deutsche Telekom
  • Dun & Bradstreet
  • Emirates NBD
  • Etisalat
  • Federal Bureau of Prisons
  • Financial Times
  • Forvia
  • GHT Hotels
  • Globo
  • Golden State Warriors
  • HSBC
  • Helzberg Diamonds
  • Henkel
  • Hiscox
  • Holland America Line
  • Hyundai Card
  • ICON plc
  • IHG Hotels & Resorts
  • Icelandair
  • Indian Railway Catering and Tourism Corporation (IRCTC)
  • Instacart
  • J.B. Hunt Transport Services
  • JAGADIRI
  • JPMorgan Chase
  • JetBlue
  • Jumia Egypt
  • KBC
  • KDDI
  • Kendra Scott
  • Kwik Trip, Inc.
  • La Liga
  • Lemonade
  • Lowe's
  • Lumen Technologies
  • Manulife
  • Marriott International
  • Mastercard
  • Merge
  • Michaels
  • Mobily
  • Monee
  • Morgan Stanley
  • NTT DOCOMO
  • Natura
  • Netflix, Inc.
  • Neue Zürcher Zeitung
  • Novartis
  • Nsure.com
  • Omoda
  • Ooredoo Qatar
  • Orange France
  • Orange Slovakia
  • Oyster
  • PSI CRO
  • Panera Bread
  • Pegasus Airlines
  • PepsiCo
  • Pick n Pay
  • Plymouth Rock Assurance
  • Priceline
  • Prudential plc
  • REA Group
  • Radisson Hotel Group
  • Realtor.com
  • Redfin
  • Reliance Jio
  • Reuters
  • Rightmove
  • Royal Bank of Canada
  • SMCP North America
  • Sanofi
  • Saudia
  • Schneider Electric
  • Seagate
  • Singtel
  • SoftBank Corp.
  • Spotify
  • Square Enix
  • Standard Chartered Bank
  • Starbucks
  • Starling Bank
  • Sukoon Insurance
  • Sun & Ski Sports
  • Sun Life
  • Swarovski
  • Syneos Health
  • T-Mobile
  • THE ICONIC
  • Taco Bell
  • Techcombank
  • Telefónica España
  • Telenet
  • The Home Depot
  • The Wall Street Journal
  • The Wendy's Company
  • Trainline
  • Trip.com
  • Truist Financial Corporation
  • Tuio
  • UBS
  • Uber Freight
  • Unifonic
  • Unilever
  • Verizon
  • Virgin Media O2
  • Virgin Voyages
  • Vodafone
  • Vodafone Business
  • Vodafone New Zealand
  • Vodafone UK
  • Walmart
  • Warba Bank
  • Waterdrop
  • Wells Fargo
  • Westpac
  • White Castle
  • Wyndham Hotels & Resorts
  • Zalando
  • Zillow Group
  • Zurich Insurance Group
  • idealista
  • stc Group

Frequently asked questions

What are the most common recommendation and personalization use cases?
Counted by organizations with a public deployment, the most common are AI shopping assistant for product discovery and recommendations (13 organizations), AI travel and hotel booking concierge (13 organizations), AI assistant for telecom plan upgrades, add ons and sales (11 organizations), AI financial wellbeing coach in the banking app (10 organizations) and AI for mobile network planning and capacity optimization (9 organizations). The library documents 30 recommendation and personalization use cases, 30 of them with a public deployment: 167 deployments by 157 organizations in 34 countries.
Which recommendation and personalization use cases have proven results?
These use cases have a median result across at least 3 organizations, not counting vendor only claims: AI shopping assistant for product discovery and recommendations: median conversion uplift 100% across 3 deployments; AI size and fit recommendation for online fashion: median error reduction 4% across 3 deployments; AI travel and hotel booking concierge: median automation rate 88% across 3 deployments; AI voice agent for drive through and phone order taking: median containment rate 90% across 3 deployments.
How many of these AI deployments are live in production?
148 of the 167 public deployments are live: 98 in production and 50 scaled across the organization. 15 are pilots and 4 are announced.
Which recommendation and personalization use cases are high risk under the EU AI Act?
One use case falls in the high risk tier: AI agent for candidate sourcing and talent rediscovery. For 21 other use cases the tier depends on design, for example whether the system decides on access to an essential service. Each use case page explains its tier and what it requires. This is not legal advice.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.