Question.5118 - Week 4: Assignment 2Prompt:Research artificial intelligence and consider how it is currently being applied to support supply chains and how it can be used in the future. Consider how organizations are already harvesting data in order to better target new purchases to individuals leveraging artificial intelligence. Remain within the current technological constraints, but you can combine multiple related technologies to support why and how artificial intelligence will be instrumental in the supply chains of the future.
Answer Below:
Artificial xxxxxxxxxxxxxxxx IntroductionToday xxx supply xxxxx is xxxxx run xx a xxxxxx complex xxxxxxx and xxxxxxxxxxxxxxxxx environment xxxxx necessitating xxx application xx the xxxxxx technologies xx remain xxxxxxxxxxx Artificial xxxxxxxxxxxx AI xxx become xxx of xxxxx technologies xxx can xx transformative xxxx the xxxxxxxxx to xxxxxxxx efficiency xxx resiliency xxx enhance xxx sustainability xx supply xxxxx management xxxxxxxxx Raut xx al xx can xxxx companies xxxxxxx large xxxxxxx of xxxxxxxxxx and xxxxxxxxxxxx data xxxxxxxxx in xxxxxxxxx decision-making xxxxxxxxxx disruption xxx process xxxxxxxxxxxx Ivanov xxxxxx Within xxx last xxxxx years xxx role xx AI xx supply xxxxxx has xxxxxxx much xxxxxx due xx changes xx machine xxxxxxxx predictive xxxxxxxxx computer xxxxxx and xxxxxxx language xxxxxxxxxx The xxxx to xxxxxxxx the xxxxxxx of xxxxxxxxxxxxx climate xxxxxx and xxxxxx preferences xx organizations xxx to xxx adoption xx AI xx enhance xxx performance xx the xxxxxx chain xxxxx is xxxxxxxxxx and xxxxxxxxx Qu xxx This xxxxx describes xxx current xxxxxxxxxxx of xx in xxxxxx chains xxx its xxxxxxxxxxx role xx future xxxxxx chains xxx discussion xxxxxxxxxxxx examples xx how xxxxxxxxx harvest xxx analyze xxxx using xx to xxxxxxxxxxx offerings xxx increase xxxxxxxxxx recommendations xx also xxxxxxxx the xxxxxxx prospects xxxx AI xxx for xxxxxxxxx sustainability xxxxxxxxxx and xxxxxxxxx supply xxxxx transparency xx the xxxxxxxx stays xx the xxxxxx of xxx existing xxxxxxxxxxxxx limitations xx incorporates xxxxxxxxx technologies xxxx digital xxxxx and xxx Internet xx Things xxx to xxxxxxxxxxx the xxxxxx capabilities xx AI xx the xxxxx of xxxxxx chain xxxxxxxxxxxxxx Ashraf xx al xxxx discussion xxxxx us xx insight xxxx why xxx how xx will xxxx a xxxxxxxx role xx generating xxxx responsive xxxxxxx and xxxxxxxxx supply xxxxxx Current xxxxxxxxxxxx of xx in xxxxxx ChainsAI xx currently xxxxxxxxxxxx the xxxxxxxxx aspects xx supply xxxxx activities xxxxxx forecasting xx a xxxxxx example xxxxxxx learning xxxxxxxxxx are xxxx to xxxxx historical xxxxx weather xxxxxxxx factors xxx social xxxxxx to xxxx up xxxx proper xxxxxx prediction xxxx et xx This xxx helped xxxxxxxxx cut xxxx on xxxxxxxxx reduce xxxxxx stock xxx create x more xxxxxxxxx production xxx consumer xxxxxx model xxx example xxxxxxxxx and xxxxxxxxxxxxx are xxxxx AI-enabled xxxxxxxxxxx to xxxxxxx changes xx consumer xxxxxxxxxxx and xxx proactively xx response xx market xxxxxxx Route xxxxxxxxxx devices xxxxx AI xxx help xxxxxxxxx reduce xxx time xxx fuel xxxxx involved xx delivery xx responding xx live xxxxxxx data xxxxxxx data xxx vehicle xxxxxxxxx in xxxxxxxxx Jahagirdar xx al xxxx not xxxx assists xx in xxxxxxxx costs xxx also xx lowering xxx emission xx carbon xxxxxxxxxx of xxxxxxxxx processes xx also xxxxxxxx with xxx help xx robotics xxx computer xxxxxx which xxxxxxxx model xxxxxxxx and xxxxx in xxxxx picking xxx packing xxxxxxx sphere xx considerable xxxxxxxxx is xxx use xx AI xx risk xxxxxxxxxx Through xxxxxxxxxx analytics xxxxxxxxx can xxxxx geopolitical xxxxxx supplier xxxxxxxxxxxxx and xxxxxxxxxxxxx risks xxxx could xx mitigated xx advance xxxxxx Dolgui xx helps xxxxxxx communication xxxx suppliers xxx customers xxxxxxx chatbots xxx virtual xxxxxxxxxx that xxxxxxx to xxxxxxxxxx queries xxx transactions xx can xx noted xxxx the xxx of xx combined xxxx IoT xxxxxxx has xxxxx as xxxx IoT xxxxxxx provide xxxxxxxxxxx about xxxxx in xxxx time xxx AI xxxx this xxxxxxxxxxx to xxxxxxxxx possible xxxxxx or xxxxxxx Sharma xx al xxxx enhances xxx responsiveness xx the xxxxxx chain xxx increases xxxxxxxxxx On xxx same xxxx AI xxx aid xx ethical xxx sustainable xxxxxx chain xxxxxxxxx through xxxxxxxxxxxx of xxx sources xxx identifying xxxxxxxx non-compliance xx Kim xxx in xxx the xxxxxx applications xxxxxxx prove xxxx AI xx already xxxxxx significant xxxxxxxxxxxxx to xxx improvement xx agility xxxxxxxxxxxx and xxxxxxxxxx of xxxxxx chains xxxxxx Potential xx AI xx Supply xxxxxxxxx future xx supply xxxxxx will xxxxxxxx to xx revolutionized xx AI xx supply xxxxxxx will xxxxxx even xxxx automated xxxxxxxxx and xxxxxxxxxxx One xx the xxxxxxxx trends xx the xxxxxxxxxxx of xxx digital xxxxx a xxxxxxx copy xx the xxxxxx chains xxxx are xxxxxxx by xx which x company xxx use xx recreate x situation xxxxx its xxxxxxxx and xxxxxxxxxx its xxxxxxxxxxx without xxxxxx physical xxxxxx to xxx system xxxx et xx Such xxxxxx will xxx the xxxx collected xx the xxx devices xxx also xxxxxxxx ones xxxxxxxxx real-time xxxxxxxxxxxxx thereby xxxxxxxxx decision-making xxx risk xxxxxxxxxx Ashraf xx al xx is xxxx expected xxxx AI xxxx be x critical xxxxxxx in xxxxxxx supply xxxxxx towards xxxxxxxxxxxxxx As xx example xxxx the xxxx of xxxxxxxxxx analytics xxxxxxxxxx can xxxxxxxx waste xx optimizing xxxxxxxxxx schedules xxx the xxxxxx of xxxxxxxxx items xx the xxxxxx In xxxxxxxx AI-optimized xxxxxxx is xxxxx lowering xxxxxxxxx Rokibul xxxxx AI xxx be xxxx to xxxxxxxxxx the xxxx of x circular xxxxxxx in xxxxxxxxxx such xx fashion xx monitoring xxxxxxxxx and xxxxxxxx them xx be xxxxxxxx or xxxxxx Another xxxxxxx aspect xx the xxxxxxxxxxxxxxx of xxxxxxxx experiences xxxx can xx promoted xxxx the xxxx of xx Along xxxx collecting xxx interrogating xxxxxxxx data xxxxxxxxxxxxxxxxxx by xxxxxxx a xxxx array xx data xxxxxxxxx may xxxxx AI xx personalize xxxxxxxxx campaigns xxxxxxx purchases xxx predict xxxxxxxxxx buying xxxxxxxx Raji xx al xxx only xxxx this xxxxxxxx customer xxxxxxxxxxxx but xx also xxxxxxx companies xx matching xxxxxx with xxx actual xxxxxx and xxxxxxxxxx overproduction xxx unnecessary xxxxxxxxx In xxxxxxxx since xxxxxx chains xxxx progressively xxxxxxxxx due xx geopolitical xxxxxx and xxxxxxxxxxxxxxx dis xxxxxxxxxxxx AI's xxxxxxxx to xxxxxx multidimensional xxxxxxxxxxx in xxxxxxxxx will xx key xx improving xxxxxxxxxx Systems xxxx AI xxxxxxxxxxxx will xx essential xx giving xxxxx warning xxxxx recommending xxxxxx plans xxx even xxxxxxxxxxxx the xxxxxx chain xxxxxxxxxxxx on xxxxx own xxxxx et xx With xxx maturity xx such xxxxxxxxxxxx AI xxxx form xxx core xx an xxxxxxxxx but xxxxxxx supply xxxxx in xxx global xxxxxxxxxxx ConclusionThe xxx of xxxxxxxxxx intelligence xxxxx to x transformation xx supply xxxxx management xxxxxxxxx its xxxxxxxx in xxxxxxxxxxx operational xxx risk xxxxxxxxxx today xxx promises xxxxxxxx potential xx develop xxxxxxx more xxxxxxxxxxx and xxxxxxxxx chains xx the xxxxxx The xxxxxxxx AI xxxxxxxxxxxxxxx in xxx field xx demand xxxxxxxxxxx logistics xxxxxxxxxxxx and xxxxxxxx tracking xxxxxxxx tangible xxxxxxxx effects xxxxxx cost xxxxxxxxx environmental xxxx decrease xxx customer xxxxxxx growth xxxxxxx evolution xx AI xxxxxxxxxx should xx based xx these xxxxxxxxxx and xxxxxx among xxxxx things xxx wider xxxxxxxx of xxxxxxx twins xxxxxxxx predictive xxxxxxxxx and xxxxxxxxxxxxxxx powered xx AI xx combined xxxx the xxx of xxx devices xxx other xxxxx of xxxxxxx technology xxxx also xxxxxxxx the xxxxxxxxxxxx and xxxxxxxxxxx of xxxxxx chains xxxxxxxxxx response xxx delivery xx sustainability xxxxxxxxxxx are xxxxxx to xxxxxx distinguishing xxxxxxxxxx of xxxxxxxxxxx within xxx supply xxxxx as xxxxxxxxx embrace xx Nevertheless xxx complete xxxxxxxxxxx of xx in xxxxxx chains xxxx have xx tackle xxx obstacles xx data xxxxxxx systems xxxxxxxxxxx and xxxxxxx issues xx utilize xx responsibly xxx to xxx best xxxxxx companies xxxxxx spend xxxxx on xxx necessary xxxxxxxxxxxxxx and xxxxxx However xxx direction xxxx the xxxxxxxx of xx in xxxxxx chains xx taking xxxxx that xxx level xx operational xxxxxxxxxx and xxxxxx responsibility xxxx be xxxxxxxxxxx using xxxxxxxxxxx data-driven xxxxxx chains xx the xxxxxx ReferencesAshraf x Eltawil x Ali x Disruption xxxxxxxxx for x cognitive xxxxxxx supply xxxxx twin xxxxx hybrid xxxx learning xxxxx preprint xxxxx Choi x M xxxxxxx S x Wang x Big xxxx analytics xx operations xxxxxxxxxx Production xxx Operations xxxxxxxxxx Ivanov x Dolgui x A xxxxxxx supply xxxxx twin xxx managing xxx disruption xxxxx and xxxxxxxxxx in xxx era xx Industry xxxxxxxxxx Planning xxxxxxx Jahagirdar x Jahagirdar x Apandkar x Green xxxxxxxxx and xxxxxxxxxxx transportation xxxxxxxx route xxxxxxxxxxxx carbon xxxxxxxxx reduction xxx the xxxxxx of xxxxxxxxxxxx supply xxxxxx Journal xx Informatics xxxxxxxxx and xxxxxxxx https xxx jier xxx index xxx journal xxxxxxx view xxxxx A xxxxx D xxxxxx U xxxxxx B xxxxxx G xxxxxxxxxx intelligence xxxxxxxxxx for xxxxxxxxx supply xxxxx resilience x systematic xxxxxxxxxx review xxxxxxxx framework xxx future xxxxxxxx Computers xxxxxxxxxx Engineering xx T xxx D xxxxxxxxx the xxxxx of xxxxxxxxxxxxx technologies xx sustainable xxxxxx chain xxxxxxxxxx Propositions xxx framework xxxxxxxxxxxxxx Raji x A xxxxx H x Oke x T xxxx W x Ofodile x C xxxxxxx A x E-commerce xxx consumer xxxxxxxx A xxxxxx of xxxxxxxxxx personalization xxx market xxxxxx GSC xxxxxxxx Research xxx Reviews xxxx R x Narwane x S xxxxxxxx B x Gardas x B xxxxxxxxxx intelligence xxx supply xxxxx sustainability x systematic xxxxxx and xxxxxx research xxxxxx Journal xx Cleaner xxxxxxxxxx https xxx org x jclepro xxxxxxx Hasan x D xxxxxxxxxxx decision-making xxx sustainable xxxxxx chains xxxxxxxx carbon xxxxxxxxxx in xxx USA xxxxx preprint xxxxx Sharma x Garg x Sewani x Kashef x Towards x sustainable xxx ethical xxxxxx chain xxxxxxxxxx The xxxxxxxxx of xxx solutions xxxxx preprint xxxxx Wasi x T xxxx M x Rahman x R xxxxx M x Ahsan x A xxxxxxxxxxx framework xxx graph-based xxxxxxx twins xxx supply xxxxx management xxx optimization xxxxx preprint xxxxxMore Articles From Management Information System
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