Finance
Use Cases
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All Finance AI Use Cases
Accelerate claims processing by automating processesAccelerate data integration from multiple sourcesAccelerate identification and protection of intellectual propertyAllocate access to public goods such as healthcare for individualsAnalyse credit risk of individual customersAutomate and manage electronic billing of legal hours workedAutomate and simplify ID process involved in Know Your Customer (KYC) process for banksAutomate building systems to reduce energy costs through AI powered adaptive temperature and energy controlAutomate collection of banking data from non-standard documentationAutomate contract due diligenceAutomate credit risk profiling to support fundraising by small businesses through crowdfunding platformAutomate financial planning and other back-office functionsAutomate generation of expense report from photographed receiptsAutomate inventory management for productsAutomate key workflow steps in the M&A processAutomate payroll and related employee remuneration processesAutomate personal finance management such as sending loan payments automaticallyAutomate reconciliation of financial statements of related legal entitiesAutomate review of contracts such as NDAsAutomate syncing of sales process data such as calendars and contact reportsAutomate through a robo-advisor client portfolio investments and rebalancing recommendations based on defined investment strategiesAutomate warehouseDeliver anticipatory logistics through demand forecastDetect potentially fraudulent or nefarious usersDetermine optimal moment to bill accounts for missed paymentsDetermine treasury or currency risk situationDigitise and automate processes using Robotic Process Automation (RPA)Ensure inventory availability by predicting demand and triggering appropriate actionEvaluate customer credit risk using application and other relevant data for faster and more efficient decisionsEvaluate investment opportunities in early stage companiesForecast asset pricing based on market patternsForecast new product demandForecast product / service demand levelsIdentify fraudulent activity using unusual payment transaction patterns and other dataIdentify fraudulent customer claims for transportation delaysIdentify potential fraud from utility consumersIdentify risk of disease via real time sensorsIdentify with satellite imagery areas of need for targeted supportImprove administrative productivity with Robotic Process AutomationMeasure value of earned social media of event brand and product sponsorshipOptimise agricultural production process often in real timeOptimise greenhouse climate environment to maximise production outputOptimise merchandising product mixOptimise product pricing to improve yield managementOptimise release dates and location targeting for film launch rolloutsOptimise routing in real timeOptimise supply chainOptimise supply chain including logistics, procurement timing and inventory distribution across warehouses and storesPredict and optimise pricing based on future market, weather, crop yield and other forecastsPredict and support mitigation of unplanned downtimePredict asset price movements based on greater quantities of data to inform trading strategiesPredict commodity price patterns based on satellite (or similar visual) dataPredict energy demand trends based on data sources ranging from sensors to social mediaPredict farming yields from data sets including site images and IoT sensor scansPredict migration patterns based on a variety of indicatorsPredict organisational cash flow situationPredict potential risks in financial audit processPredict product demand trends to inform production decisionsPredict risk from natural disasters such as wildfiresPredict risk of bankruptcy and corporate distressPredict risk of loan delinquency for existing customers and recommend proactive handling strategiesScore and compile aggregate analyst sentiment report based on the balance of positive to negative wordsSupport consolidation or propagation of financial reportsSupport optimisation of accounts payableSupport review and design of supplier contractsTailor debt collection processes by identifying which practices are most effective for different segments of customersTrack and predict disease vector in general populationTrack and predict risk of likely criminal activity by individualsTrack risk exposures to ensure capital requirements monitoredTracking, monitoring and analysing livestock behaviour to optimise production
Finance Case Studies
ANZ bank identifies high risk loans and predicts customer defaults with deep learningASOS eliminates the risk of inaccurate data entering finance systems by implementing a machine learning solution for invoice handlingAccenture redeploys after automating tasks with RPA systemAlibaba Group detects pigs'' pregnancy seven times quicker using facial recognition technologyAmerican Express identifies $2 billion in potential annual incremental fraud incidents with machine learningBaltimore Gas and Electric generated $2.8 million in economic benefit from identifying fraud and unbilled energy usage with machine learningBank of NY Mellon reduces processing and trade entry turn around time by 88% and 66% respectively using robotic process automation.Big River Steel is predicting the availability of scrap steel using a predictive AI engineBlueDot identified Wuhan pneumonia outbreak from social media posts before WHO made public announcement on COVID-19Bonanza Creek Energy avoids production shutdown and fines by anticipating when certain emissions are going to occur using a machine learning systemBritish Telecom saves an estimated £100M a year using the automated contract analysis platform RAVNCargoMetrics analyses satellite shipping imagery and plans to to identify investment opportunities based on the data with machine learningCastle Ridge Asset Management identifies and rebalances portfolio investments among diverse asset classes using machine learningCircle Up helps startups raise funds via crowd funding by evaluating their potential and risk using machine learningDXC Technology has increased new business wins by 20% by automating with a contract management platformDanone increased product demand forecast accuracy to 92% with a 55% improvement in net uplift from promotional events using machine learningDanone reduces forecast error and lost sales by 20 and 30 percent respectively and achieves a 10 point ROI improvement in promotions with machine learningDanske Bank plans to determine liquidity risk using Bloomberg''s machine learning product LQADell reduces costs while ensuring contractual obligations are met with contract analysis automationDeutsche Bank automates 30 to 70 percent of back- and mid-office processes using robotics process automationDeutsche Bank implements AI trading platform for predicting equity prices and volumeEY develops embedded audit analytics system, Helix, to automate auditing complex transactionsFICO reduces bank''s losses on delinquent customers by up to 25% with machine learning that predicts consumer credit riskFSB saves loan application time for b2b lending using algorithms to match borrowers with lendersFox predicts likelihood of watching movies at theatres based on trailers with machine learningFunding Circle provides the only access to finance for 21% of its SME users SMEs by using machine learning in loan underwritingGoogle predicts river floods and their severity using AI based forecasting modelsGranarolo reduces inventory levels by more than 50% and cuts capital and lead time in half using machine learningGullivers Travel Associates reduces average transaction costs and invoice processing time by 74% and 86% respectively with machine learningH&M improve single store sales by improving inventory planning through machine learning to discover trends on social mediaHSBC tests automated information extraction system for global trade contractsHitachi conducted an on-site demonstration of a warehouse management system equipped with its AI technology where results showed efficiency improvement in logistics tasksIBM Research build machine learning model to analyse migration factors for prediction with low error ratesIdeo.org improves employee and bookkeeping efficiency using automated expense reportingJCPenney saves $45K in energy costs in one year by implementing smart energy storage battery StemLennox improves service levels by 16% and increases inventory turns by 25% with machine learning powered demand predictionsLeroy-Merlin forecasts sales and suggests orders to department managers to optimise supply chain with machine learningLineage is boosting warehouse efficiency by 20% with AI powered smart placementMan Group extends AI models to four large funds for predicting financial market pricing and riskMylo''s app users can round up their purchases to the nearest dollar to save or invest the spare change triggered by predictive softwareNASA automates 86% of HR transactions through Robotic Process Automation, RPA, of administrative tasksNew York State increased its collections from delinquent revenue by 8% using reinforcement learningOtto predicts with 90% accuracy what products will be sold within 30 days driving automated purchasing and reduction of annual returns by 2MOverbond predicts yields for new bond issues with less than 0.02 percentage point inaccuracy by using machine learningPortcast is a data analytics vendor promising to optimise logistics for the maritime industry using machine learningRecurly recovers 70% of previously declined card payments through predicting best retry date using using ra random forest modelResearchers from Northwestern University achieved 88% accuracy predicting Amazon bestsellers with machine learningResearchers improve film box office success prediction using machine learning transduction algorithmsScotiabank improves payment collections of credit card customers using deep learningScriptBook produces financial forecasts for films based on their scripts using machine learning and natural language processingSoftBank accelerates due diligence of ARM acquisition by reducing patent portfolio searching from weeks to day using machine learningStecklein & Rapp law firm increases productivity by 20% through automation of billing trackingSunSelect enables greenhouse farmers to more accurately forecast their future harvests with machine learningTellusLabs aims at providing accurate prediction of natural resources and agricultural yields with machine learningThe Chinese Government is building a social credit system for citizens to measure, monitor and incentivise approved behaviour patternsThe European Central Bank identifies vulnerabilities at individual, country and Eurozone level banksThe Government of Karnataka will help small farmers with crop price market predictions by using machine vision to analyse satellite imagesThe National Institution for Transforming India partners with IBM to develop a crop yield prediction model using AIThe UK government identifies welfare and state benefits fraud with artificial intelligenceThe US Department of Natural Resources used deep learning vision analysis of satellite imagery to predict the size of soya and corn crops well before harvestingThe United Nations, World Bank and ICRC aim to eliminate famine using machine learningThe World Bank is exploring using machine learning to analyse and improve public spending processes and find signals indicating potential corruption with Microsoft ResearchUK Train Operating Companies automates 93% of claim processing and detects fraudulent payback claims for trains delayed by more than thirty minutes with 70% accuracy using machine learningUS Open Tennis used computer vision to analyse social media activity to determine the value generated by each sponsor, placement and network during the 2017 US OpenVerv plans to predict renewable energy generation and usage for its p2p marketplace using deep learningWells Fargo demonstrates 88% short-term and 58% longer term recommendations accuracy using machine learning to predict stock price movements