Supply Chain
Use Cases
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Supply Chain Case Studies
7-Eleven improved customer marketing and in-store capacity planning in Indonesia and Mexico using machine learning to predict demand variationsA global transport provider gains a significant competitive advantage by implementing AI for supply chain visibilityAccenture redeploys after automating tasks with RPA systemAlliance Boots achieves inventory savings and improved service levels with machine learning optimisation algorithmAmazon is testing its Prime Air drone delivery service promising to fly parcels to customers within 30 minutes of ordering.Aston Martin raises public first time availability target 2% to 97.5% and drives 18% reduction in safety stock value with machine learning engineBMW increases worker safety and productivity and space utilisation through human-robot-collaborationBig 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 reduces cost of outbound transportation and optimises delivery windows using machine learningChronopost International ensures on-time deliveries during peak activity with machine learning predictive analyticsCoca-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 machinesDanone 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 learningDeepMind increases value of wind power by 20% by predicting supply 36 hours in advanceDidi to tackle traffic congestion and optimise navigation routes with deep learningDomino’s delivers world’s first ever pizza by drone in New ZealandFacebook create new location address schemes for developing areas decreasing travel times by 22% in testsFlipkart attempts to resolve address problem in India using machine learningGeneral Electric has saved $80 million over the past few years by integrating supplier data across business units using machine learningGousto, a British meal kit retailer uses genetic algorithms to optimise warehouse to determine factory layout and movement of boxes through the floorGranarolo reduces inventory levels by more than 50% and cuts capital and lead time in half using machine learningH&M improve single store sales by improving inventory planning through machine learning to discover trends on social mediaHitachi conducted an on-site demonstration of a warehouse management system equipped with its AI technology where results showed efficiency improvement in logistics tasksInfinera will optimise its supply chain management to make better predictions about delivery dates using machine learningInstacart predicts availability of 200 million grocery items every 30 minutes using machine learningKaiser Parmanente increases construction labour productivity by 38% and saves 11% from the initial construction budget with machine vision and analyticsKewpie, a Japanese food manufacturing company, used deep machine vision that identified defective potato cubes on the production line with the same level as accuracy as humansKiabi increases in-store product availability by 7% by optimising supply chain management with machine learningLeroy-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 placementMaersk aims to acieve safer and more efficient maritime operations with AI-powered situational awareness system on containershipsMcCain will test Resson''s image recognition algorithms for crop condition monitoring to optimise potato yields and reduce costsMondelēz International saved on expenses by automating client contract analysis ensuring corporate spinoff delivered on-time and budgetOcado saves £100,000 per annum by real-time monitoring of cloud migrations and performance of web applications and identifying issues automatically using machine learningOrange Silicon Valley speeds up project completion using TARA machine learning hiring and project management platformOtto predicts with 90% accuracy what products will be sold within 30 days driving automated purchasing and reduction of annual returns by 2MOtto reduces the rate of product returns by predicting sales for the next three months with 90% accuracy using machine learning to understand consumer preferencesPortcast is a data analytics vendor promising to optimise logistics for the maritime industry using machine learningResearchers at Stanford and Columbia predict restaurant affinity among lunch-goers in the Bay area using machine learningRoy 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 learningSears Appliance Repair Unit gains 5 - 6% productivity by predicting parts required for field worker repairsShell saves over a million dollars annually by doing inventory analysis 32 times faster using machine learningStarcorp chooses which projects to pursue by evaluating probability of success as well as risks associated with different options using machine learningStitchFix keeps track of customer behavioural and purchase patterns to predict demand and manage inventory using state transition matrices and Markov chain modelsThe CMS Measure Development reduced research time from months to moments through machine learning and natural language processingThe U.S. Organ Procurement and Transplantation Network is saving lives by matching kidney donors and recipients using algorithms built by AI researchersUPS aims to avoid trouble spots in its global network by rerouting packages away from snow with machine learningUPS 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 destinationUniversity of Pittsburgh Medical Center (UPMC) improves hospital supply chain performance to achieve 92% on-time payments with AIUnnamed global manufacturer reduces inventory costs by 25-35% and frees up working capital using machine learningeBay sees 1B USD in incremental sales per quarter using machine learning for search, inventory managemet and other functions