{"id":22616,"date":"2022-10-27T11:39:38","date_gmt":"2022-10-27T10:39:38","guid":{"rendered":"https:\/\/www.manutan.co.uk\/blog\/?p=22616"},"modified":"2022-10-27T11:39:38","modified_gmt":"2022-10-27T10:39:38","slug":"big-data-and-ai-growth-drivers-of-the-green-supply-chain","status":"publish","type":"post","link":"https:\/\/www.manutan.co.uk\/blog\/warehouse\/big-data-and-ai-growth-drivers-of-the-green-supply-chain\/","title":{"rendered":"Big data and AI, growth drivers of the Green Supply Chain"},"content":{"rendered":"<p><span data-contrast=\"none\">Combined with artificial intelligence (AI), big data is an essential work tool for developing the Green Supply Chain on a large scale. The goal is, of course, to achieve carbon neutrality within the supply chain, without compromising on performance.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">According to a study conducted by Capgemini in August 2020<\/span><span data-contrast=\"none\">1<\/span><span data-contrast=\"none\">, 85% of companies believe that it is possible to combine cost optimisation with environmental protection. It is a strategic priority, responding to a real demand from customers. According to the same study, 79% of consumers now consider the environmental impact of their purchases.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Big data and AI structure the Green Supply Chain<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h2>\n<p><b><span data-contrast=\"none\">Ecological and digital transitions go hand in hand<\/span><\/b><span data-contrast=\"none\">. They are on the same roadmap and meet the same operational and environmental performance objectives with a focus on cost optimisation.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">How does technology serve the environment?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Digital technologies can <\/span><span data-contrast=\"none\">increase the resilience and performance of the Supply <\/span><span data-contrast=\"auto\">Chain<\/span><span data-contrast=\"auto\"> while reducing its carbon footprint. Fuel and energy savings, waste reduction, and increased time and efficiency are all <\/span><b><span data-contrast=\"auto\">possible thanks<\/span><\/b> <b><span data-contrast=\"auto\">to real-time data collection and processing systems<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-contrast=\"none\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">According to the study cited above, almost 80% of companies plan to<\/span><b><span data-contrast=\"none\"> invest in digital technologies to accelerate their ecological transition<\/span><\/b><span data-contrast=\"none\">, for example by switching to the <\/span><span data-contrast=\"none\">automated Warehouse 4.0<\/span><span data-contrast=\"none\">. They consider this potential investment as follows:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">For 59% of them, data collection and analysis systems provide valuable indicators for the management and control of environmental issues (consumption of energy, fuel and water, as well as CO<\/span><span data-contrast=\"none\">2<\/span><span data-contrast=\"none\"> emissions).<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">50% also consider that technological progress increases the accuracy of these indicators.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<\/ul>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Artificial intelligence to reduce the environmental cost of road transport<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">Road transport has access to concrete solutions thanks to big data and artificial intelligence. Real-time data collection provides a wealth of information on <\/span><b><span data-contrast=\"none\">the way in which drivers drive and thus on fuel consumption<\/span><\/b><span data-contrast=\"none\">. Through the data analytics, it is possible to<\/span><b><span data-contrast=\"none\"> educate drivers<\/span><\/b> <b><span data-contrast=\"none\">on how to drive in a more energy-efficient way<\/span><\/b><span data-contrast=\"none\"> and therefore reduce CO<\/span><span data-contrast=\"none\">2<\/span><span data-contrast=\"none\"> emissions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The main assets of using big data and artificial intelligence in the road transport sector are as follows:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Reduced transport costs;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Reduced environmental footprint of the supply chain;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Drivers often drive more carefully.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">Big data also <\/span><b><span data-contrast=\"none\">reduces<\/span><\/b> <b><span data-contrast=\"none\">delivery times<\/span><\/b><span data-contrast=\"none\"> by optimising routes and refuelling. <\/span><b><span data-contrast=\"none\">Real-time traffic analysis<\/span><\/b><span data-contrast=\"none\"> makes it possible to always select the most efficient route and to reduce the number of trips. It is estimated that these tools reduce travel distances by 16% and <\/span><a href=\"https:\/\/www.orange-business.com\/en\/magazine\/climate-change-sustainability-has-become-business-imperative\"><span data-contrast=\"none\">increase<\/span><\/a> <a href=\"https:\/\/www.orange-business.com\/en\/magazine\/climate-change-sustainability-has-become-business-imperative\"><span data-contrast=\"none\">the punctuality<\/span><\/a><a href=\"https:\/\/www.orange-business.com\/en\/magazine\/climate-change-sustainability-has-become-business-imperative\"><span data-contrast=\"none\"> of deliveries to an average of 98%<\/span><\/a><span data-contrast=\"none\">. A step forward for both CSR and customer satisfaction.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559685&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">When artificial intelligence and Supply Chain mean predictability<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"none\">The other great benefits of big data, when combined with artificial intelligence (AI) software and processed by learning algorithms (Deep Learning), lies in its <\/span><b><span data-contrast=\"none\">analytical capacity<\/span><\/b><span data-contrast=\"none\">. Companies are therefore shifting from an analysis model based on past performance to one that can inform on potential future events. Adapted to logistics, this predictive functionality provides the Supply Chain <\/span><b><span data-contrast=\"none\">with effective solutions, both operationally and environmentally<\/span><\/b><span data-contrast=\"none\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">For instance, this choice was made by <\/span><b><span data-contrast=\"none\">the port of Antwerp, through the creation of a 3D model of the port<\/span><\/b><span data-contrast=\"none\"> called <\/span><a href=\"https:\/\/www.youtube.com\/watch?v=kLLTNRPgLe8\"><span data-contrast=\"none\">APICA<\/span><\/a><span data-contrast=\"none\"> (Antwerp Port Information and Control Assistant). The modelling is made possible by the processing of real-time data that synthesizes all the activity of the port. It considers the following data:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Movement of goods;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Weather conditions;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Air quality;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Tides;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Staff availability;<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Movements of bridges and locks.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">All this data is transmitted by IoT (Internet of Things) sensors, cameras, and drones. This gives port managers <\/span><b><span data-contrast=\"auto\">a comprehensive view of activity in real time<\/span><\/b><span data-contrast=\"auto\">, which enables them to foresee unusual situations. This makes it possible, for example, to predict the toxicity of ship emissions in different circumstances and to take appropriate corrective action.<\/span><\/p>\n<p><span data-contrast=\"auto\">The predictability provided by data and artificial intelligence in the Supply Chain is also a solution to <\/span><b><span data-contrast=\"auto\">drastically reduce waste<\/span><\/b><span data-contrast=\"auto\">, especially in the transport of fresh products. It is estimated that the ability to adjust stocks and loads in advance as closely as possible to sales can reduce the number of lorries on the road by 15-20%. The quality of forecasts increases by 10 to 15 points thanks to AI.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559685&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Big data and artificial intelligence transform the Supply Chain <\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">To be able to reduce their environmental impact, optimise their interactions and respond to disruptions in real time, companies must <\/span><b><span data-contrast=\"auto\">have full control of their supply chain<\/span><\/b><span data-contrast=\"auto\">.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Why collect data across the product life cycle?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Companies need a more comprehensive view of the materials, components and ingredients used, packaging, sourcing, production processes and energy consumption. This comprehensive view of their business provides them with the necessary resources to <\/span><b><span data-contrast=\"auto\">make profound changes to the industry&#8217;s supply chain<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Companies also need to build intelligent networks that include the different players in their market, starting with their customers. This allows them to <\/span><b><span data-contrast=\"auto\">access<\/span><\/b> <b><span data-contrast=\"auto\">data<\/span><\/b> <b><span data-contrast=\"auto\">on the distribution and recycling<\/span><\/b><span data-contrast=\"auto\"> of their items. Artificial intelligence models designed for the Supply Chain and ML (Machine Learning) are essential in making this data usable.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">Towards transparency of the Supply Chain to better understand its challenges<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Establishing an <\/span><b><span data-contrast=\"auto\">effective monitoring and tracking computer process<\/span><\/b><span data-contrast=\"auto\"> requires the creation of a network of companies who share information. To fully understand the challenges of reducing the environmental impact of production, a business needs to create links with its direct and indirect suppliers. This network can also include sources such as satellites to monitor deforestation, water exploitation, agriculture, and mining.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Technologies such as <\/span><b><span data-contrast=\"auto\">Blockchain, 5G and sensors on pallets<\/span><\/b><span data-contrast=\"auto\"> also help to provide<\/span><b><span data-contrast=\"auto\"> secure, real-time connectivity<\/span><\/b><span data-contrast=\"auto\">. These tools also provide visibility on holding chains and network interactions. Collecting and managing all this information requires a scalable data lake and the integration of many data sources.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Artificial Intelligence in the Supply Chain and in the Warehouse<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276}\">\u00a0<\/span><\/h3>\n<p><b><span data-contrast=\"auto\">Technology has brought the warehouse into the 4.0 era<\/span><\/b><span data-contrast=\"auto\">. The <\/span><span data-contrast=\"auto\">warehouse management of tomorrow<\/span><span data-contrast=\"auto\"> is optimised by the combined use of automation, artificial intelligence, and big data processing. These technological advances make it possible to act in favour of the ecological transition by improving all warehouse processes. This optimisation of the warehouse leads to <\/span><b><span data-contrast=\"auto\">changes in the teams&#8217; management<\/span><\/b><span data-contrast=\"auto\">, which in turn leads to new organisation of services and changes in management.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:0,&quot;335559739&quot;:200,&quot;335559740&quot;:276,&quot;469777462&quot;:[3615],&quot;469777927&quot;:[0],&quot;469777928&quot;:[1]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Download our white paper on &#8220;The transformation of the warehouse and its operations&#8221; to better understand the new human challenges of this sector.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Combined with artificial intelligence (AI), big data is an essential work tool for developing the Green Supply Chain on a large scale. The goal is, of course, to achieve carbon neutrality within the supply chain, without&#46;&#46;&#46;<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[69],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Big data and AI, growth drivers of the Green Supply Chain - Manutan UK Blog<\/title>\n<meta name=\"description\" content=\"Discover how big data and ai are driving the emergence of the Green Supply Chain in warehouses.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.manutan.co.uk\/blog\/warehouse\/big-data-and-ai-growth-drivers-of-the-green-supply-chain\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big data and AI, growth drivers of the Green Supply Chain - Manutan UK Blog\" \/>\n<meta property=\"og:description\" content=\"Discover how big data and ai are driving the emergence of the Green Supply Chain in warehouses.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.manutan.co.uk\/blog\/warehouse\/big-data-and-ai-growth-drivers-of-the-green-supply-chain\/\" \/>\n<meta property=\"og:site_name\" content=\"Manutan UK Blog\" \/>\n<meta property=\"article:published_time\" content=\"2022-10-27T10:39:38+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\">\n\t<meta name=\"twitter:data1\" content=\"5 minutes\">\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.manutan.co.uk\/blog\/#website\",\"url\":\"https:\/\/www.manutan.co.uk\/blog\/\",\"name\":\"Manutan UK Blog\",\"description\":\"User Guides, Expert Product Info &amp; 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