{"id":103004,"date":"2024-03-20T14:34:46","date_gmt":"2024-03-20T14:34:46","guid":{"rendered":"https:\/\/octagona.com\/?p=103004"},"modified":"2024-04-01T11:22:52","modified_gmt":"2024-04-01T11:22:52","slug":"supply-chain-to-the-logistics-impact","status":"publish","type":"post","link":"https:\/\/octagona.com\/en\/supply-chain-ai-limpatto-logistica\/","title":{"rendered":"Supply chain and AI: the impact on logistics"},"content":{"rendered":"

The use of Artificial Intelligence (AI, short for Artificial Intelligence) in the logistics industry is growing exponentially, making the management of the <\/span>Supply Chain<\/span><\/a> A more streamlined and accurate process.\u00a0<\/span><\/p>\n

AI can indeed analyze large amounts of data in real time and perform complex predictive analytics. This is reflected in optimized management of warehouses and delivery routes, enabling a more efficient supply chain at every step. It also enables cost and waste reduction, and significantly improved customer service.<\/span><\/p>\n

L\u2019impatto dell\u2019Intelligenza artificiale sulla <\/span>Supply Chain<\/span>: the benefits of this synergy<\/span><\/h2>\n

L\u2019Intelligenza Artificiale rappresenta il fulcro della quarta rivoluzione industriale, potenziata dal Machine Learning, un processo che consente ai computer di apprendere continuamente dalle informazioni e di elaborarle adeguatamente per compiere determinate operazioni.\u00a0<\/span><\/p>\n

Given its great potential, Its use is becoming increasingly widespread in many sectors, including logistics.<\/span><\/p>\n

Le proiezioni indicano che entro il 2025, circa l\u201980% delle nuove soluzioni tecnologiche per la gestione delle catene di approvvigionamento far\u00e0 <\/span>uso dell\u2019intelligenza artificiale<\/span><\/a> and data science in various ways.<\/span><\/p>\n

L\u2019AI continua a progredire costantemente, adattandosi ai cambiamenti del mercato e contribuendo all\u2019ottimizzazione della catena di approvvigionamento.\u00a0<\/span><\/p>\n

Mediante un\u2019ottimizzazione completa del <\/span>Supply chain management<\/span>, si potenzia la competitivit\u00e0 delle aziende e, contemporaneamente, si migliora l\u2019esperienza di acquisto dei clienti come vedremo meglio in questo articolo.\u00a0<\/span><\/p>\n

Esaminiamo nel dettaglio l\u2019interazione dell\u2019AI con la catena di approvvigionamento, analizzando il suo impatto e i benefici significativi che ne derivano.<\/span><\/p>\n

\"Supply<\/span><\/h3>\n

\u00a0<\/p>\n

Demand forecasting through artificial intelligence<\/span><\/h3>\n

Through AI-led analysis of historical data and market trends, it has become possible to predict future market demand with great accuracy. <\/span>In this way, companies are able to effectively customize their offerings, minimizing waste and ensuring product availability when required. <\/span>These are.<\/span> un aspetto di cruciale importanza, soprattutto per quelle imprese che operano nel settore dell\u2019<\/span>export<\/span><\/a> and have to manage more complex logistics.<\/span><\/p>\n

Le capacit\u00e0 degli algoritmi dell\u2019Intelligenza Artificiale comprendono infatti l\u2019analisi dei dati sugli acquisti e le tendenze di consumo, per proporre prodotti complementari o offerte speciali, realizzando di fatto un\u2019esperienza di acquisto maggiormente personalizzata. Questo non solo migliora la soddisfazione della clientela, ma aumenta anche la fidelizzazione e, di conseguenza, il numero delle vendite.<\/span><\/p>\n

Inoltre, l\u2019utilizzo dell\u2019AI nell\u2019analisi predittiva della domanda consente alle aziende di anticipare i cambiamenti del mercato e di adottare rapidamente nuove strategie di approvvigionamento e di produzione.<\/span><\/p>\n

Operational efficiency is thus improved, and provided a not inconsiderable competitive advantage in an increasingly dynamic and competitive market.<\/span><\/p>\n

The management of delivery routes through AI\u00a0<\/span><\/h3>\n

Thanks to artificial intelligence algorithms, it is also possible to detect<\/span> the paths<\/span> delivery more efficiently, saving time and money: unoptimized routes and unsuitable transportation means inevitably lead to higher costs.\u00a0<\/span><\/p>\n

Artificial intelligence algorithms, on the other hand, make it possible to identify the most convenient and efficient transportation means and routes by considering various factors such as geographic features, weather conditions, and logistical patterns. For these reasons, according to reports by <\/span>Analytics Insight<\/span><\/a>, il mercato globale dell\u2019AI nel settore dei trasporti sta crescendo a un tasso annuo composto del 15,8% e si prevede di raggiungere i 3,8 miliardi di dollari entro il 2025. Riducendo i chilometri percorsi e ottimizzando le risorse le aziende quindi possono risparmiare notevolmente sui costi di trasporto.\u00a0<\/span><\/p>\n

This aspect is particularly relevant for companies that have embarked on a d\u2019<\/span>internationalization<\/span><\/a>, as efficient logistics and reduced transportation costs are key to competing effectively on a global scale.<\/span><\/p>\n

L\u2019ottimizzazione progressiva dell\u2019inventario tramite l\u2019Intelligenza Artificiale<\/span><\/h3>\n

L\u2019AI offre la possibilit\u00e0 di automatizzare considerevolmente la gestione dell\u2019inventario, segnalando in tempo reale la necessit\u00e0 di nuovi ordini.\u00a0<\/span><\/p>\n

Consente quindi di confrontare costantemente l\u2019andamento della domanda e dell\u2019offerta, evitando sia l\u2019eccesso di prodotti e sia una loro mancanza nel magazzino. In questo modo, i clienti possono contare su un ritmo di produzione sempre adeguato alle loro esigenze.<\/span><\/p>\n

\"Supply<\/p>\n

The identification of anomalies in the data of the <\/span>Supply Chain<\/span>\u00a0\u00a0<\/span><\/h3>\n

L\u2019Intelligenza Artificiale \u00e8 <\/span>also <\/span>capable of promptly detecting anomalies in the supply chain.It can indeed quickly detect errors of different types or poor efficiency in logistics processes, enabling <\/span>so <\/span>companies to take timely action to set up appropriate corrections.\u00a0<\/span><\/p>\n

For example, AI can <\/span>register <\/span>an increase in delivery time on a specific route and identify the cause and propose appropriate solutions.\u00a0<\/span><\/p>\n

This predictive capability is essential for maintaining high service standards, even more so because it can include insights on how to further optimize logistics operations, and better adapt to the needs of an ever-changing market.\u00a0<\/span><\/p>\n

Improving the customer experience through AI<\/span><\/h3>\n

Nell\u2019ambito dell\u2019odierna concezione di <\/span>Supply Chain<\/span>, l\u2019attenzione all\u2019esperienza del cliente occupa un ruolo centrale, con l\u2019Intelligenza Artificiale che pu\u00f2 svolgere una funzione fondamentale nel suo potenziamento.\u00a0 Attraverso di essa le imprese possono infatti migliorare la comprensione delle esigenze dei clienti e proporre servizi sempre pi\u00f9 personalizzati e mirati.\u00a0<\/span><\/p>\n

L\u2019AI, ad esempio, \u00e8 in grado di suggerire prodotti basandosi sugli acquisti precedenti <\/span>customer's<\/span>, and to provide real-time information on the status of deliveries.<\/span><\/p>\n

Grazie a consegne pi\u00f9 puntuali, a una gestione dell\u2019inventario ottimale e a un <\/span>highly personalized service<\/span><\/a>, the company's reputation can grow considerably, increasing trust toward the brand.<\/span><\/p>\n

Integration of Artificial Intelligence in the <\/span>Supply Chain Management<\/span>: challenges in the immediate future<\/span><\/h3>\n

Il ruolo dell\u2019AI nella trasformazione del settore logistico \u00e8 emerso con chiarezza in un\u2019analisi condotta da <\/span>Gartner<\/span><\/a> lo scorso anno, che ha identificato l\u2019AI come una delle tecnologie pi\u00f9 strategiche per migliorare l\u2019efficienza operativa e la resilienza dei sistemi.<\/span><\/p>\n

Tuttavia, nel prossimo futuro l\u2019Intelligenza Artificiale dovr\u00e0 superare nuove sfide per una integrazione responsabile nella <\/span>Supply Chain<\/span>, addressing legal, ethical and sustainability issues.\u00a0<\/span><\/p>\n

Data privacy, especially in the context of the <\/span>Supply Chain<\/span>, poses an obvious challenge because it involves several separate companies that have specific reasons for keeping their information confidential, such as competing in the marketplace and needing to gain advantages in business negotiations.\u00a0<\/span><\/p>\n

Nonostante l\u2019AI permetta di ottimizzare la catena di approvvigionamento e personalizzarla per rispondere al meglio <\/span>at<\/span>the needs of customers, the data sharing required for such progress may be met with resistance from many companies.<\/span><\/p>\n

Al di l\u00e0 di questo, rimane evidente che l\u2019Intelligenza Artificiale stia portando a cambiamenti importanti nel settore della logistica, introducendo innovazioni che stanno trasformando le dinamiche operative e che fino a pochi anni fa sembravano impensabili.<\/span><\/p>\n

L\u2019implementazione dell\u2019AI nella <\/span>Supply Chain<\/span> thus emerges as a determining factor for all those enterprises eager to remain competitive, <\/span>especially in international contexts.<\/span> \u00a0<\/span><\/p>\n

If your company deals with many markets globally and you are interested in learning more about integrating Artificial Intelligence into supply chain management, please do not hesitate to contact us.\u00a0<\/span><\/p>\n

With the experience of our experts, we will be able to support you on your path to growth.\u00a0<\/span><\/p>\n

\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

Il ricorso all\u2019Intelligenza Artificiale (AI, acronimo per Artificial Intelligence) nel settore della logistica sta crescendo esponenzialmente, rendendo la gestione della Supply Chain un processo pi\u00f9 snello e accurato.\u00a0 L\u2019AI pu\u00f2 infatti analizzare grandi quantit\u00e0 di dati in tempo reale e compiere analisi predittive complesse. Ci\u00f2 si riflette in una gestione ottimizzata dei magazzini e delle […]<\/p>\n

Read More…<\/a><\/p>\n","protected":false},"author":4,"featured_media":103051,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-103004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-internazionalizzazione-imprese"],"acf":[],"yoast_head":"\nSupply Chain e AI: l'impatto sulla logistica | Octagona Srl<\/title>\n<meta name=\"description\" content=\"Come l'AI sta impattando notevolmente la gestione della Supply Chain, portando innegabili vantaggi nella logistica.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/octagona.com\/en\/supply-chain-to-the-logistics-impact\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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