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All Transportation & Logistics AI Use Cases
Accelerate claims processing by automating processesAccelerate data integration from multiple sourcesAugment traffic control processes at (air)portsAutomate aircraft pilotingAutomate background checking for potential employeesAutomate customer service conversations through a text chatbotAutomate customer service disruption alertsAutomate customer service voice conversations with conversational agentAutomate data cleansing and validationAutomate delivery to customer eg via drone or self-driving vehicleAutomate driving with self-driving vehiclesAutomate sales conversations through a text chatbotAutomate software coding, testing and production deploymentAutomate testing of web applications and apps as part of continuous developmentAutomate through a robo-advisor client portfolio investments and rebalancing recommendations based on defined investment strategiesCollate and evaluate site data for architectural planningCreate maps from satellite and other remote imageryCreate new productsDeliver anticipatory logistics through demand forecastDeliver marketing optimised for contextual settingDeploy robots to replace human staffDetect anomalies in software stacks prior to deploymentDetect suspicious nautical vessel activity indicating overfishing or smugglingEnable enhanced retail customer experience and service through chatbotsEnhance product and service offeringIdentify and navigate roads and obstructions in real time for autonomous drivingIdentify fraudulent activity using unusual payment transaction patterns and other dataIdentify fraudulent customer claims for transportation delaysIdentify performance and risk for employee drivers through driving patterns and other dataIdentify performance and risk for pilots through flying patterns and other dataIdentify physical properties of scanned imagesImprove addresses or bar codes recognition in mail sorting machines to improve efficiency and reduce data capture errorImprove weather forecasting accuracyIntegrate security systems at public entertainment venues such as sports stadiumsManage rail network control through automated signallingManage routing of inbound email communicationsMonitor and predict problems on rail networkMonitor transport fleet networks in real time to ensure safety of passengers and driversOptimise building management including space management, health and safetyOptimise distribution network cost effectivenessOptimise driver or pilot choices and path routing to reduce length, cost or environmental impact of tripOptimise field network performanceOptimise job listing to attract more diverse candidatesOptimise live inventory management and dynamic pricingOptimise maintenance schedulingOptimise maintenance, repair, and operations parts and equipment inventoryOptimise network layoutOptimise pricing and scheduling of time-sensitive capacity based on real time demand updatesOptimise product pricing to improve yield managementOptimise public resource allocation for urban development to improve quality of lifeOptimise quality of service and product deliveryOptimise routing in real timeOptimise staff and resource planningOptimise staffing levels and asset placement in real timeOptimise supply chainOptimise supply chain including logistics, procurement timing and inventory distribution across warehouses and storesOptimise traffic/passenger flow through visual data including video and imagesPersonalise advertising and recommendations to target individual consumersPersonalise flight recommendations to target individual consumers in time sensitive and dynamic marketPersonalise in-vehicle suggestions based on location and passenger requirementsPersonalise loyalty programs and promotional offerings to individual customersPilot and resupply drone independentlyPilot military vehicles - on land, sea, air and spacePredict and drive customer retention and churn managementPredict asset price movements based on greater quantities of data to inform trading strategiesPredict likelihood of traffic accidents or queues and optimise traffic system to reduce the riskPredict local sales and demand trends for transportationPredict location and availability of parking space for car driversPredict maintenance requirementsPredict problems and recommend proactive maintenance for planes, trucks and other moving equipmentRetarget advertisingScale and support data management and monitoringStreamline airport passenger processes with facial recognition technologySuggest customer specific promotions or upgrades or offersVisualise and recognise road layout, other vehicles and pedestrians and potential risks to empower predictive driving
Transportation & Logistics Case Studies
A global transport provider gains a significant competitive advantage by implementing AI for supply chain visibilityARUP saves 790 engineering hours using machine learning to detect utility clash points planning a light rail system for AucklandAeroMexico''s customer-service can handle as many inquiries as two full-time employees per day through its chatbotAirbus is investing in developing autonomous passenger aircraftAirbus used deep machine vision to detect clouds in satellites decreasing the error rate from 11% to 3%Avianca Airlines improves customer experience and cuts check-in waiting times in half with natural language processingBlaBlaCar optimises conversion rate and improves retention with machine learning predictive analytics that integrate data from multitudes of sourcesBoston Public Schools''s plan to reconfigure start times for high school students using an optimisation algorithm backfiresCMA CGM enhances its cargo ships piloting and collision avoidance techniques through real time object detectionCargoMetrics analyses satellite shipping imagery and plans to to identify investment opportunities based on the data with machine learningChronopost International ensures on-time deliveries during peak activity with machine learning predictive analyticsCopa Airlines enhances online customer experience through a chatbot travel agentCoyote improves the accurate reporting of speed limits by 9% using machine learningDARPA simulates flight and landing of Boeing 737 by an AI-driven robot co-pilotDeutsche Bahn reduces maintenance cost by 25% and delay-causing failures using machine learningDidi to tackle traffic congestion and optimise navigation routes with deep learningEco Marine Power unveils automated control and monitoring systems for shipsFLL monitors aircraft movement and gets accurate status reports for gates with machine vision and natural language processingFacebook create new location address schemes for developing areas decreasing travel times by 22% in testsGE achieves speed and accuracy in detecting track flaws in real time with machine learningHalvor Lines increases driver performance by 100% over previous systems using machine learning evaluation systemHeathrow Airport tackles delays due to bad weather with the use of AIHeathrow aims at tackling gender bias in job listings using natural language processingIUT Annecy aims to beat the current record for the fastest bicycle travelling across flat road by creating the optimal aerodynamic design using machine learningInternational Airlines Group enhances in-flight customer experience with AIIowa Department of Transportation uses machine learning to monitor traffic flows during winterJFK International Air Terminal 4 optimises passenger flow with computer visionKLM automates responses to over 50% of customer enquiries on social media by implementing a machine learning chatbotKLM introduces conversational agent to help customers book plane tickets and create packing listsKorean Air reduces maintenance defect history analysis lead times by 90% and improves on-time performance with machine learning and natural language processingLufthansa launches interactive ads to attract new customers using natural language processingLyft delivered a 40% increase in potentially fraudulent users detected without increasing false positives by using neural networksM Subs Ltd provides AI-powered situational awareness technology to unmanned vessels in the Plymouth Sound harbourMaersk aims to acieve safer and more efficient maritime operations with AI-powered situational awareness system on containershipsNeopost identifies customers at risk of churn with machine learning using PredicSisNorwegian increases public awareness of new new non-stop routes by 94% with the use of AIOLA strengthens passenger safety with real-time ride monitoring system based on machine learningOrient Overseas Container Line Limited (OOCL) looking to optimise shipping operations with deep and reinforcement learningParkeon predicts vehicle parking space availability using machine learning and predictive algorithms from DataikuPortcast is a data analytics vendor promising to optimise logistics for the maritime industry using machine learningPorts of Jersey minimises passenger wait times with the use of machine visionRolls Royce demonstrates fully autonomous ship travelling between Parainen and Nauvo in FinlandRolls Royce plans to predict maintenance requirements for jet engines to improve aircraft efficiency using Microsoft Azure''s machine learningRyanair monitors the performance of its online service in real time and identifies root cause of issues in minutes compared to hours previously using machine learningSelf-driving bus on Helsinki RobobusLine goes to scheduled serviceSingapore''s Changi airport aims to speed passengers through its facility with facial recognitionSkyTruth researchers identify transshipment vessels to aid monitoring of suspicious nautical activity using CNNsSmiths Detection detects lithium-ion batteries in airport luggage using deep learningSouthwest Airlines improves safety and preventes flight anomalies with machine learningStena Line aims to reduce fuel consumption by optimising route planning with artificial intelligenceSurtrac reduces intersection wait times by 40% and travel time by 25% on average by optimising traffic signals based on real-time dataThe Hong Kong Metro saves 800,000 hours annually by optimising engineering work scheduling and resource allocation with AIThe Motor Vehicles Department in Kerala detects lack of seatbelt or helmet usage in motor vehicles in with 98% accuracy in trialThe Port of Rotterdam Authority reduces vessel waiting times by 20% with machine learningThe Port of Rotterdam is collaborating with IBM to become a smart shipping port using data to boost efficiency and drive down costsTrainline automates disruption information and alerts using natural language processingTransavia aims at reducing its 2018 carbon footprint by 6500 tonnes using machine learningTransdev North America is ordered to stop self-driving school bus pilot project due to the participation of childrenTransit city navigation app to optimise public transit ETAs using machine learningTrek Bicycle reduces error rates in its website and bike sharing app services from 8-14% to <1% using machine learning to monitor anomalies in real-timeTuSimple successfully completed a 200-mile level 4 test drive of a driverless truck passed from San Diego to Yuma, Arizona.UK 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 learningUPS aims to avoid trouble spots in its global network by rerouting packages away from snow with machine learningUPS enhances customer service through AI-enabled chatbot which assists with tracking packages and finding shipping rates and locationsUPS plans to streamline internal operations by tracking every package and asset in real-time using sensors and machine learningUPS saves 10 million gallons of fuel and $100 million per year by optimising driver delivery routes that consider real-time traffic and weather information obtained from social media and machine learningUPS saves over 10 million gallons of fuel and up to $400m in costs annually with advanced telematics and analysisUPS uses network planning tools to optimise the flow of packages within its network from loading docks to sorting to the final destinationUber assists its drivers to open retirement accounts with the help of a robo-advisory investment firmUber automates map data issue detection from its customer support ticketsUber conducts background checks on its drivers using Checkr''s AI platformUber discriminates price for different customers using machine learning and a variety of sociological dataUnited Airlines manages overbooking issues and last minute changes in flyer travel plans with machine learningUniversity of Essex researchers compare machine learning models for improving weather condition classification of imagesVirgin Australia cuts down the time it takes to build predictive models by up to 90% while boosting accuracy by up to 15% with machine learningVirgin Trains streamline the labour intensive admin tasks to improve customer service while reducing man hours per day by 90% through cognitive learningWestJet introduces a customer service chatbot on Facebook Messenger