Marketing
Use Cases
Showing 117 use cases in Marketing
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NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Analyse Social Media Voice Data for Brand Intelligence
Marketing
Analyse and predict shrinkage
Monitoring and predicting shrinkage enables retailers and consumer product companies to crack down on potential value loss.
Retail generalMarketing
Analyse credit worthiness of under-banked individuals to provide banking services
Analyse credit worthiness of under-banked individuals to provide banking services. Typically this involves understanding and monitoring behavioural patterns.
BankingMarketing
Analyse market basket information to optimise cross-selling and upsell
Analysing the basket of products that consumers purchase - typically in one go but also on a broader timeline - provides ample data to enable predictions on potential cross-selling and repeat purchases.
Retail generalMarketing
Analyse social media communication through sentiment tracking
Understand customer sentiment and prioritise social media messages for response. Potentially suggest automated responses to help increase agent productivity.
Marketing
Analyse warranty data to signal quality issues, measure risk and optimise pricing
Customer response to warranties generates a lot of data that can be mined to predict potential specific quality issues and to predict risk across the product portfolio.
Retail generalMarketing
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Automate Digital Marketing Data Analysis and Campaign Intelligence
Marketing
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Automate Performance Marketing Campaign Management with AI
Marketing
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Automate Podcast Show Notes and Episode Chapters with AI
Media and publishingMarketing
Automate analysis of customer surveys and reviews
Use Natural Langugage Processing to analyse text fields in surveys and reviews to generate insights in to customer views, responses and sentiment.
Marketing
Automate content generation for video and image based marketing materials
Automatically generate content for marketing materials
Marketing
Automate content generation for written based marketing materials
Automatically generate content for marketing materials
Marketing
Automate customer data capture
Automating the collection of customer data including product preferences, demographics, and personal information. This data may be collected under the guise of a loyalty program or app, with AI being used to extract the relevant information.
Food, beverage and drugsMarketing
Automate image tagging to improve product discovery
Leverage machine vision to tag brand-related and product images taking into account users'' preferences and relevant media channels.
Marketing
Automate inventory management for products
Inventory Management - helping company calculate how many units are required where and when. This is precisely the sort of complex, data-rich, prediction-heavy closed loop where AI can potentially excel if the data tracking is accurate - so long as the unexpected does not intervene.
Retail generalMarketingSupply Chain
Automate life event marketing
Capturing data on key life state events - from ageing or birthdays to more profound events such as house moving or bereavement - enables companies to target specific products or services. This data can be uncovered from multiple sources (within relevant legal constraints) and then the running of specific campaigns can be automated.
MarketingSales
Automate logo creation
Using scripted data capture to generate company logos for start-ups and similar smaller players. Typically married to support from human graphic designers.
Marketing
Automate media and brand content management and tagging
Automatically tag content for library and customers: using automated image and video recognition, along with text analysis automatically recognise, classify and tag content assets and media (e.g. find all images of the product. Or tag major activities in videos).
Marketing
Automate personalised content marketing
Content marketing is distributing appropriate content (not necessarily advertising or sales focused) to potential consumers to ensure that they build a relationship with a brand or organisation before a sales pitch is made. Tools to automate and personalise the distribution of appropriate content to appropriate audience during their customer journey is potentially a powerful tool in the marketer''s toolbox.
Marketing
Automate presentation (for example of news reading) on TV and other media
Being a news anchor involves the single task of reporting - essentially reading out a script. Therefore, AI can work for automating news presentation on TV and other media, using natural language generation and processing.
Media and publishingMarketing
Automate sales conversations through a conversational agent
Automate sales voice conversations through a conversational agent enabling potential for simplified, high-volume sales. If inbound this can be a valuable consumer experience reducing waiting time but outbound and unsolicited it can be legally questionable (and a most unpleasant experience).
MarketingSales
Automate sales conversations through a text chatbot
Automate sales text conversations through a chatbot enabling potential for simplified, high-volume sales
MarketingSales
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI Tools for Creative Ideation and Agency Collaboration
Consultancy and business servicesMarketing
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI for Personalised Customer Churn Recovery and Win-Back
Retail generalMarketing
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI for Personalised Loyalty Programme Engagement
Retail generalMarketing
All Marketing AI Use Cases
Marketing Case Studies
''Rooms to go'' uses Machine Learning to offer tailored add-on options to customers1-800 Flowers deploys chatbots to offer a personalised gift buying experience that will increase customer engagement and sales20th Century Fox and IBM Research reduce movie marketing production time by using machine learning to select scenes for a movie trailer7-Eleven improved customer marketing and in-store capacity planning in Indonesia and Mexico using machine learning to predict demand variationsA UK registered charity predicts visitor flow to its building with Markov chain algorithmsA large european bank identifies issues in post-trade operations by analysing mailboxes with the use of machine learningAccenture redeploys after automating tasks with RPA systemAdidas improves online outfit recommendations with the use of machine learningAdidas learns from its consumers'' design creation to better anticipate future demand trends using machine learningAdidas tests an interactive and virtual retail display wall for footwear optimising inventory displayed with machine learning that results in a smaller foot print storeAdmiral automobile insurance planned to offer discounts to drivers based on data in their Facebook profiles but were prevented by FacebookAdore Me generates product insights by determining customer sentiment with a 92% accuracy based on natural language processing analysis of thousands of reviewsAegon monitors spokespeople, competitors and industry topics using machine learningAirBnB achieves gains in bookings using machine learning models to improve property search resultsAirbnb improves search results ranking with the use of deep learningAirbnb increased similar property listing recommendations click-through rates by 21% with machine learning embeddingsAlibaba Group''s LuBan platform automatically designs 400M online advertising banners using image processing and reinforcement learningAlibaba improves online ad performance by 45% using reinforcement learning to optimise real time biddingAlibaba''s marketing arm is producing 20,000 lines of copywriting per second with machine learning and natural language processingAllen & Overy monitors legal press and media with machine learningAllstate is offering pay-as-you-drive plans based on measurement and analysis of customer real-time driving behaviour resulting in up to 30% reduction in premiumsAmazon makes personalised product recommendations to customers with machine learningAmazon provides customers with product suggestions according to its recommendation algorithm which improves upon machine learning techniques to scale with its large product catalogueAmerican Express increased new online customer acquisition by 40% through machine learning targeted marketing savings significant direct mail costsAn anonymous global insurance company analysed customer contact recordings and claims data to drive sales yields using natural language processingAtolla identifies skin health issues and recommends skin care products using machine learningAucnet, a Japanese car auction service, automatically classifies cars and uploads images to an online auction site saving over 50,000 man hours annuallyAudi increases dealership visits by 31% following targeted marketing using AIAuto Trader improves second-hand vehicle valuation accuracy using machine learningAviva offers up to 30% discounts on insurance premiums based on actual driving behaviour that is monitored and analysed through machine learningBaidu improves ad targeting for its online users resulting in increased advertising revenue through deep learningBelgian political party sp.a creates deepfake video of US President Donald TrumpBevMo automates store inventory and stocking management using autonomous robotsBlue Cross Blue Shield predicts individual propensity for opioid abuse with 85% accuracy to modify insurance pricing and support appropriate interventions using machine learning analyticsBodybuilding.com improves app engagement through personalized narratives about user’s weekly workouts using NLG and machine learning.BookIt achieves a 20% revenue increase by driving new traffic into the website using machine learningBranch grants loans to app users based on alternative data including contacts, social media, and call history and machine learning to assess credit riskBurberry launches a new feature for mobile app allowing users to add “Burberry-inspired” drawings using ARBytedance ranks web content according to the preference of each user by analysing their behaviour using machine learningCadillac Fairview suspends usage of facial recognition software to predict demographic information of customers in shopping centresCaesar Entertainment drives revenue by optimising floor layouts, pricing and even restaurant menus to better match customer segmentsCaesars Entertainment improves email open rates by 12% and click-throughs by 24% by personalising content using deep learningCaesars Entertainment improves promotional targeting having increased customer individual spend tracking from 58 to 85 percent with loyalty programs and machine learningCaesars Entertainment offers customers on the casino floor real-time incentives to bet more by identifying their behaviour and emotions through machine visionCambridge Analytica claims to have targeted voters by modelling voter propensity to persuasion through a variety of emotional state approachesCardlytics drives 15-20% response rates to personalised promotions by machine learning analysis of the purchase history of over 100m consumersCarrefour increased online sales by targeting customers on multiple devicesCenturyLink uses email based conversational agents to automatically contact, nurture, qualify and assign hot leads to sales reps with a 2000% ROIChoosy plans to design and sell apparel according to popular social media trendsChoozle announces partnership with Oracle''s Grapeshot to determine optimal online ad placement and ensure brand safety using AICigna to identify at-risk patients from laboratory results and clinical diagnostic data, and offer early treatment options using machine learningCoca-Cola Hellenic covers 3.6X more stores by automating in-store inventory audits using image recognitionCoca-Cola achieves 6 percent additional revenue with 15 percent fewer restocking trips by identifying the right product and placement using intelligent vending machinesCosabella increased ROAS to 336% by segmenting target markets, and optimising channel selection, campaign content, and paid search using Adgorithm''s deep learningDai-ichi Life enhances customer engagement and nudgee them towards healthy habits using app and machine learningDanone increased product demand forecast accuracy to 92% with a 55% improvement in net uplift from promotional events using machine learningDanske Bank improved marketing campaign hit rate by 400% by using machine learning to identify preferred means of communicationDeepMagic offers a fully automated retail pop-up store which uses facial and image recognition to identify customers and determine what they pick up and put downDelta Faucet increases page views per person by 49% by delivering one-to-one marketing experience to 500,000 customers using AI generated or curated contentDisney enhances the search feature in online stores by adding image search and text tagging using machine learningDisney researchers identify, track and predict movie audience enjoyment using facial recognitionDomino''s Pizza uses image recognition to award customer loyalty points based on photosDorchester Collections personalises guest experience with machine learning analyticsEpson America automatically follows up on 50,000 annual leads and generates 75% more qualified leads with the use of email conversational agentsEpson America increases engagement and marketing qualified leads by 240% and 75% respectively with AI-powered sales assistantEquinix predicts customer churn with 90% accuracy using a machine learning neural network modelErnsting’s Family optimises pricing decisions while improving revenue and margins with machine learningEstée Lauder provides a superior online shopping experience to customers using augmented reality and chatbotsExpedia optimises its best fare search results using machine learningFacebook is testing a system to recommend products on Marketplace similar to photos of items people are looking forFacebook shuts down its virtual assistant chabot experiment as it proves it cannot live up to the difficulty of the tasks it is asked to performFirst Book increases repeat sales by 331% and revenue by 35% by targeting customers who are more likely to do repeat business using machine learningFlipkart achieves 95% accuracy for classifying products based on imagesFox predicts likelihood of watching movies at theatres based on trailers with machine learningFrance Telecom''s Telekomunikacja Polksa realised that certain customers have a greater or lesser influences on networks of mobile phones users. If highly connected networkers churn then this is likely to cause a large ripple effect. To improve customer churn prediction and identification of who to retain they developed social graphs and analysis based on the transaction history and network connections of customers. This allowed them to improve prediction by 47%.GoFind.AI improves shopping by finding matching products from images with 92% accuracyGodiva boosts website wide customer conversion rate by 24% by offering personalised recommendations to online visitors using machine learningGoogle YouTube drives 60% of video clicks through its machine learning recommendation system for usersGousto, a British meal kit retailer, grows customer base by 700% by using machine learning to forecast demand and personalise recommendationsHarps Food Stores, increases sales by 5% by optimising decision-making around pricing and promotions using machine learningHawaii''s tourism authority uses emotion recognition to understand customer emotions and personalise travel offers based on their likes and dislikesHeineken invests in more engaging marketing material with machine vision and machine learningHenkel uplifts its revenue by 2.1% by tracking distribution and share of shelf at granular SKU level leveraging visual recognition and sales dataHotel del Coronado adjusts pricing to achieve full capacity by predicting seasonal demand accuratelyHourglass Cosmetics debuts an interactive way to demonstrate its flagship product''s virtual skin perfection using a virtual hologram assistantIKEA launches an app that lets users see what furniture would look like in their own home using augmented realityInfluential assesses suitability of social media influencers for use in marketing campaigns by analysing social media content using natural language processingInvesting Channel increased campaign content engagement 4x by optimising target audiences with real-time data using Nielsen AIJaeger-LeCoultre offers personalised recommendations that match items in cart or those bought previously, using chatbot serviceJohn Lewis improves shopping experience by keeping track of customer purchase patterns to predict inventory and tailor offers for individual customers with machine learningKanetix increased auto insurance conversion transaction rates by 13% using a predictive platform to target usersLG maximises consumer engagement with ad video using machine learning and machine visionLendUp has built a machine learning driven platform to encourage debt holders to make payments using personalised reminders, offers and repayment plansLevi Strauss & Company achieves near 100% accuracy in tracking in-store inventory and identifies optimal product placement using sensors and visual recognitionLogojoy uses machine learning to design logos based on customer preferenceLowes introduced Lowebot, a retail robot, to help customers and scan inventory in real-time to locate product or price discrepanciesLufthansa launches interactive ads to attract new customers using natural language processingL’Oreal’s Makeup Genius app allows customers to see how the make up will look on them using augmented realityMARS Marketing improved accuracy of purchase intent in marketing research by 8% using facial analysis during ad viewingMars Inc improves ad performance with computer vision and machine learning