INDUSTRY WATCH
“ Immersive experience technologies have the potential to radically influence the trajectory of supply chain management . It presents new interaction models through the product life cycle , not only with humans , but with other processes , machines and applications ,” said Titze . “ Pioneer companies already benefit from outcomes , such as safer working environments , faster repair times , improved work error rate , better collaboration and retention of skills and knowledge .”
Edge ecosystems
Edge ecosystems consist of Edge Computing and edge data processing applications . Edge ecosystems allow supply chain technology leaders to reassign and replan large swaths of data processing capacity to the Edges of enterprises , where things and people produce or make decisions . For example , those technologies can be used to track and monitor condition or temperature requirements across multiple phases of a product ’ s life cycle .
Supply chain security
Supply chain security brings together a more comprehensive approach to embrace security risks such as counterfeits or cybercrime holistically across the E2E supply chain . With digitally connected E2E networks as an aspirational goal for many organizations , a new generation of scalable supply chain security technology solutions are anticipated to evolve .
Environmental Social Governance ( ESG )
Global supply chains have a pivotal role to play in their contribution to both map and assess ESG risks and opportunities . Current technologies allow to track the origins of products , such as palm oil or soy and align with corporate biodiversity and climate change goals .
“ Modern supply chains are highly connected and interdependent . Organizations need technologies to map and prepare for ESG opportunities , risks and impacts . Failure to invest in tools and solutions that govern , predict and adapt to new ESG impacts could have a significant influence on brand or company image , customer value perception and the cost and availability of goods ,” said Titzte .
Embedded AI and analytics
Embedded AI and analytics are software capabilities that deliver real-time reporting , interactive data visualization and advanced analytics and intelligence directly into an enterprise business application .
This stack of technologies can be used in warehousing . Mobile robot controls or intelligent robotic picking systems leverage their embedded analytics to further optimize operations .
Augmented Data Intelligence
Augmented Data Intelligence is a combination of several technologies that facilitate advanced data processing on top of a data lake / platform and further allow for the delivery of insightful information , predictions and suggestions .
“ Supply chain organizations often don ’ t have all the information they need for good decision making . Technology leaders look for a solution that helps them increase visibility and that generates insights from data ,” said Titze . “ This is where augmented data intelligence comes in next to core business applications .
“ These solutions have the capability to collect , correlate and analyze several data pipelines and provide leaders with the information they need .” p
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