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All Manufacturing & Industrials AI Use Cases
Accelerate and support key processes with improved human-robot collaborationAccelerate data integration from multiple sourcesAccelerate product discovery based on modelling of componentsAnalyse social media data to evaluate architectural or planning impact of new developmentsAssess environmental health status and bio-diversity of natural sitesAudit and optimise shelf placementAutomate customer service conversations through a text chatbotAutomate delivery to customer eg via drone or self-driving vehicleAutomate driving with self-driving vehiclesAutomate generation of reports including basic research materialAutomate image tagging to improve product discoveryAutomate inventory management for productsAutomate key tasks to support human driverAutomate preparation of data for inclusion in analytics platformAutomate product testing and quality assuranceCapture 3rd party or internal data for price comparison and supplier relationship overviewCollate and evaluate site data for architectural planningCollate data and evaluate potential architectural site remotelyCollate, visualise and explain marketing analyticsConfirm animal identity through eye scansConstruct detailed map of farm characteristics based on aerial image captureCreate 3D models of 2D imagesCreate new productsCreate text based content optimised for customers and consumersCreate video and image based content optimised for customers and consumersDeliver "digital human" conversational interface with customers in physical locationsDeploy robots to do physical tasks in the agricultural processDeploy robots to replace human staffDetect defects and quality issues during production using visual and other dataDetect suspicious nautical vessel activity indicating overfishing or smugglingDetermine root causes for quality issues originating outside of manufacturing eg in the supply chainDiagnose known diseases from scans, images, biopsies, audio and other dataDigitise analogue meter reading through computer visionDiscover anomalies across fleet of vehicle sensor data to identify potential risksEnable self-learning option generation in CAD softwareEnhance agricultural insurance through prediction of plant health and crop yields with drones and AIEnhance customer underwriting risk predictionsEnhance product and service offeringEnhance search process for new molecular structuresEnsure inventory availability by predicting demand and triggering appropriate actionExamine ground composition to reduce required volume of exploratory drilling for samplesForecast product / service demand levelsGenerate product descriptions and advertising copy for product portfolio publicationIdentify and navigate roads and obstructions in real time for autonomous drivingIdentify and validate a molecule to target with a drug compoundIdentify and validate a molecule to target with a drug compound for agricultural useIdentify creature characteristics to assist in disease controlIdentify design problems in pre-production to reduce ramp-up time to maximum outputIdentify issues driving low product yield in manufacturingIdentify physical properties of scanned imagesIdentify plant type through image analysisIdentify with satellite imagery areas of need for targeted supportImproving construction process quality by detecting errorLeverage an image recognition library-SDK-API to support developersManage agricultural production yield by resource optimisationMimic creature or animal behaviour with drones or roboticsModify driver experience based on emotion tracking through facial recognition systemMonitor animal populationsMonitor staff alertness levels to ensure safety and productivityOptimise agricultural production process often in real timeOptimise blend and process timing for raw material inputs to refining and similar processesOptimise building management including space management, health and safetyOptimise complex manufacturing process in real time eg determine where to dedicate resources to reduce bottlenecks and cycle timeOptimise crop or livestock yield management based on field sensorsOptimise driver or pilot choices and path routing to reduce length, cost or environmental impact of tripOptimise energy scheduling and management of power plants based on energy pricing, weather and other real time dataOptimise experimental efficiency through refining research process and operationsOptimise extraction plans based on data including drilling samples and performance at historic and comparable sitesOptimise factory throughput management with better resource planningOptimise greenhouse climate environment to maximise production outputOptimise maintenance, repair, and operations parts and equipment inventoryOptimise manufacturing process in real time so as to determine where to dedicate resources to reduce bottlenecks and cycle timeOptimise mine plans based on data such as drilling samples or historic and comparable site performanceOptimise mobile job schedulingOptimise public resource allocation for urban development to improve quality of lifeOptimise purchasing mix across suppliers and locations to lower input costsOptimise quality of service and product deliveryOptimise resource allocation in research and development processOptimise routine maintenance staff schedulingOptimise supply chainOptimise supply chain including logistics, procurement timing and inventory distribution across warehouses and storesPersonalise in-vehicle suggestions based on location and passenger requirementsPersonalise sales pitch, content and proposition based on customer analyticsPilot and resupply drone independentlyPollinate plantsPredict and optimise pricing based on future market, weather, crop yield and other forecastsPredict commodity price patterns based on satellite (or similar visual) dataPredict failure and recommend proactive maintenance for farming and production equipmentPredict failure and recommend proactive maintenance on vehicle componentsPredict farming yields from data sets including site images and IoT sensor scansPredict future demand trends and potential constraints in supply chainPredict location and availability of parking space for car driversPredict maintenance requirementsPredict new high value crop strain performance based on past crop trends, weather and soil dataPredict optimal location and specification in construction for power generation equipmentPredict outcomes more efficiently by using fewer experiments to reduce research costsPredict potential quality issues with products through visual recognitionPredict problems and recommend proactive maintenance for mining, drilling and support equipmentPredict problems and recommend proactive maintenance for production equipmentPredict real world crop production results from fewer experiments to reduce experimental research costs
Manufacturing & Industrials Case Studies
ARUP saves 790 engineering hours using machine learning to detect utility clash points planning a light rail system for AucklandAbellio London claims it reduced bus collisions and injuries by 29% and 60% respectively with collision avoidance technologyAbundant Robotics device autonomously harvests apples using machine vision to identify appropriate fruitAlibaba Group detects pigs'' pregnancy seven times quicker using facial recognition technologyAston Martin raises public first time availability target 2% to 97.5% and drives 18% reduction in safety stock value with machine learning engineAucnet, 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 learningAuto1 leverages machine learning to connect buyers and sellers of second hand cars across EuropeBBMV reduced construction worker fatigue and impairment time while on duty by 24% with sleep monitoring devicesBHP saves $5.5M by predicting mining truck maintenance requirements with machine learningBMW increases worker safety and productivity and space utilisation through human-robot-collaborationBMW will self-diagnose faults and issues limiting car performance and collect data from connected vehicles with machine learning analyticsBeck''s Hybrids is predicting the highest-yielding corn seeds from more than 30,000 genetic possibilities using an AI powered modeling engineBerkeley Lab releases reinforcement learning training platform for training autonomous vehicles on traffic regulationBig River Steel is predicting the availability of scrap steel using a predictive AI engineBig River Steel makes more accurate demand predictions using machine learningBig River Steel maximises energy consumption at off-peak times to minimise energy costs using an AI powered optimisation modelBig River Steel optimises production and minimises unplanned events in the production process process with machine learningBig River Steel predicts and optimises the maintenance of its machinery and equipment using machine learning.Big River Steel reduces cost of outbound transportation and optimises delivery windows using machine learningBlue River Technology offers deep learning technology which is aspiring to reduce herbicide usage by offering a more precise and targeted spray applicationBosch Thermotechnology improves field service management appointment accuracy and efficiency with machine learningCARFIT is offering real time issue detection on tires, wheels, shocks and brakes with machine learningCCC Information Services predicts repair requirements from vehicle collision photos using AICargill offers facial recognition technology for farmers in collaboration with CainthusConnecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learningDeepMind develops a highly accurate machine learning method for predicting protein structuresDelta Faucet increases page views per person by 49% by delivering one-to-one marketing experience to 500,000 customers using AI generated or curated contentDeveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learningDriverless street sweepers able to clean a park in less than 20 minutes employed for trial run in Shanghai''s Tus-Caohejing Science ParkDrivers demonstrate Tesla''s Autopilot limitations in recreation of fatal Model X crash at exact same locationFANUC will offer advanced manufacturing capabilities by enhancing industrial robots with deep learningFarmers are able to quickly identify issues such as crop stress and disease and pest infestation on heatmaps enabled by drones and machine learningFord Credit improves customer loan risk predictions over traditional credit risk scoring using machine learningFormula 1 aims at achieving smarter project management and streamlining the R&D process with the use of machine learningFoxconn to identify and predict defects in manufacturing process with machine visionFreeport-McMoRan improves rock face assessment for better planning of steep blasting mining using dronesGemological Institute of America predicts with 90% accuracy a diamond''s grade from camera images using neural networks in partnership with IBM ResearchGeneral Electric has saved $80 million over the past few years by integrating supplier data across business units using machine learningGlobal Paper, Pulp, Plastics and Rubber manufacturer eliminates over 50% of poor quality batches and increases average yields to above 90% with the use of machine learningGlobal manufacturer achieves more than 85% shorter inspection times and real time production feedback using deep learning algorithms for 100% automatic inspectionGoldcorp plans to increase accuracy of identifying potential mining prospecting areas using IBM Watson and machine learning to analyse drilling and geological dataHitachi conducted an on-site demonstration of a warehouse management system equipped with its AI technology where results showed efficiency improvement in logistics tasksHonda equips its NeuV concept vehicle with an emotion engine to facilitate automated drivingHonda reduced the time required to understand customer feedback by 80% using AIHyundai Motor will offer voice-enabled intelligent personal agent to predict driver needs and facilitate vehicle functions in new modelsHyundai plans to diagnose crash victims'' injuries within seven seconds of an incident using AIIBM Brazil researchers develop device to measure chemicals in samples of water and soil using machine learning and visionICRISAT and Microsoft advise farmers on when to sow crops resulting in a 10-30% yield per hectare increase by using machine learningICRISAT and Microsoft enable Indian farmers to achieve up to 30% higher yields at trial through machine learning advice on when to sow cropsIUT Annecy aims to beat the current record for the fastest bicycle travelling across flat road by creating the optimal aerodynamic design using machine learningIntel is planning to use emotion recognition to prevent traffic mishaps by tailoring inside car features to suit driver''s emotionsIron Ox fully automates the growing process end-to-end with the potential of 30 times more produce than traditional farmsJabil eliminates false-positives with automated optical inspection of its manufacturing processes using deep neural networksJerrit Canyon Gold identifies high prospectability areas using Goldspot Discoveries'' machine learning geological modelKawasaki Geological Engineering increases efficiency in subsurface cavity surveying with deep learningKebotix aims to speed up materials discovery with machine learningLeasePlan, a vehicle management group in the UK, simulates different models to see cost distribution across various dimensions to decide which changes are optimalLennox 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 learningLocal Motors offers mobility to people with disabilities through a 3D printed autonomous vehicle with natural language processingLowes introduced Lowebot, a retail robot, to help customers and scan inventory in real-time to locate product or price discrepanciesMIT Researchers design tool to optimise product designs according to optimal efficiencies and performance objectivesMakoto Cucumber Farm automatically sorts cucumbers based on shape, length and distortion using deep machine visionMcCain will test Resson''s image recognition algorithms for crop condition monitoring to optimise potato yields and reduce costsMercedes-Benz claims 20% increase in parking garage space by implementing autonomous valet parking system developed with BoschMercedes-Benz learns driver and passenger preferences to provide a personalised and connected experience using machine learning and conversational agentMonsanto plans to increase agriculture product research using Second Genome to predict outcomes of protein useMonsanto plans to speed up crop protection product development using Atomwise''s convolutional neural network technology for molecule interaction discoveryNASK researchers train convolutional neural networks to confirm horse identity based on eye imagesNewcrest Mining prevents mill downtime at its Lihir mine using machine learning to predict when an overload is about to occurOpen Agriculture Initiative identifies optimal growing conditions and correlations for optimising basil flavour using machine learningPEAT identifies 400 diseases and pests from farmers'' uploaded photos on their new mobile appPlantVillage detects multiple diseases in Cassava plants with machine learningResearchers at Columbia University automate the process of sex-sorting tsetse flies with machine learningResearchers at EPFL predict chemical shifts of molecular solids and their polymorphs to within DFT accuracy with machine learningResearchers at Stanford University aim to detect illegal polluting from farms using a convolutional neural networkResearchers at Tomsk Polytechnic University Russia to launch a fleet of robot-bee prototypes suitable for greenhousesResearchers at UC Merced train algorithm to create ground-level images from satellite pictures outperforming conventional interpolation method used for classifying landResearchers at the University of Glasgow have developed an AI-powered robot to discover new molecules from known chemical reactionsResearchers from UCSC have pilot-tested an artificial intelligence irrigation system which may be able to save 70% more water than other irrigation methods.Researchers from the National Institute for Materials Science Japan automate creation of knowledge graphs regarding the materials design process using natural language processingResearchers from the University of Lincoln have built a learning computer system to early detect potentially harmful flaws in production and packaging of potatoesResearchers from the University of Technology Sydney aim at ensure livestock are in peak condition leading up to sale by analysing cattle through AIResearchers investigate a cost-effective machine learning method for identifying gold from waste during ore sorting at an AngloGold Ashanti mineRio Tinto machinery operators wear SmartCaps to detect dangerous levels of fatique by applying neural networks to brain signalsRoy Hill iron ore project is developing a transportation vehicle maintenance prediction and prevention recommendation platformRoy Hill iron ore project optimises mine operations planning based on predicting supply chain outcomesSchneider Electric saves €8 million by optimising its supply chain using machine learningScientists at Japan’s National Institute of Advanced Industrial Science and Technology are testing artificial cross-pollination of flowers with drones that mimics beesSiemens develops a platform to provide AI-generated headlines and content suggestion for its communications writersSinopec builds smart factories and supporting platform for manufacturing based on AISkand reduces cost of asset inspection by 80% with machine learningSkanska identifies potential jobsite safety hazards in real-time using machine learning to automatically tag videos and photos with infractions occurringSlantrange aims at measuring crop populations and detecting weeds with machine visionSmall Robot Company develops robots to monitor crops and soil to maximise yieldSmall Robot Company is a vendor which hopes to deploy robots to reduce chemicals and emissions while increasing farm profitabilitySmall Robot Company offers precision micro-spraying and physical weeding using robots aiming to reduce chemical usage by up to 95%Small Robot Company offers robot for precision drilling and planting for per plant accuracy